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		<title>GPU Nvidia Tesla A100 80GB HBM2 sxm4 convert pci-e 4.0</title>
		<link>https://maychuzin.com/server-maychu/gpu-nvidia-tesla-a100-80gb-hbm2-sxm4-convert-pci-e-4-0/</link>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Wed, 06 May 2026 07:23:45 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=7950</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Hàng đặt,Giao sau 10-15 ngày</a><br />
<i class="fa fa-check-circle green"> </i><a> Nhà sản xuất: NVIDIA</a><br />
<i class="fa fa-check-circle green"> </i><a> FP64: 9.7 TFLOPS</a><br />
<i class="fa fa-check-circle green"> </i><a> FP64 Tensor Core: 19.5 TFLOPS</a><br />
<i class="fa fa-check-circle green"> </i><a> GPU Memory: 80GB HBM2e</a><br />
<i class="fa fa-check-circle green"> </i><a> TDP: 300W</a><br />
<i class="fa fa-check-circle green"> </i><a> Lưu ý : hình ảnh chỉ mang tính chất minh hoạ</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-nvidia-tesla-a100-80gb-hbm2-sxm4-convert-pci-e-4-0/">GPU Nvidia Tesla A100 80GB HBM2 sxm4 convert pci-e 4.0</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2><span style="font-size: 110%"><strong>GPU Nvidia Tesla A100 80GB HBM2 sxm4 convert pci-e 4.0</strong></span></h2>
<h3><span style="font-size: 110%"><strong>Tình trạng:</strong></span></h3>
<ul>
<li>
<ul>
<li><span style="font-size: 110%"><strong>Hàng đặt,Giao sau 10-15 ngày</strong></span></li>
<li><span style="font-size: 110%"><strong>Lưu ý : hình ảnh chỉ mang tính chất minh hoạ</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng,hàng tháo máy</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
</ul>
</li>
</ul>
<h3><span style="font-size: 110%"><strong>NVIDIA A100 – Mở ra thế giới dành cho AI</strong></span></h3>
<p><span style="font-size: 110%"><strong>GPU NVIDIA A100 Tensor Core mang đến khả năng tăng tốc vô song ở mọi quy mô, đặc biệt là trong việc cung cấp năng lượng cho các trung tâm dữ liệu đàn hồi với hiệu suất AI, phân tích dữ liệu và HPC hàng đầu trên thế giới. Được kế thừa từ Kiến trúc NVIDIA Ampere, A100 không chỉ là một sản phẩm mà là trụ cột của nền tảng trung tâm dữ liệu NVIDIA.</strong></span></p>
<p><span style="font-size: 110%"><strong>Với hiệu suất vượt trội, A100 có khả năng tăng cường lên đến 20 lần so với thế hệ trước, đồng thời có khả năng linh hoạt thông qua việc chia thành bảy phiên bản GPU khác nhau, đáp ứng linh hoạt theo nhu cầu cụ thể. Phiên bản A100 80GB đưa đến trải nghiệm băng thông bộ nhớ nhanh nhất thế giới, với hơn 2 terabyte mỗi giây (TB/s), làm cho việc chạy các mô hình và xử lý bộ dữ liệu lớn trở nên hiệu quả và mạnh mẽ hơn bao giờ hết.</strong></span></p>
<h3><span style="font-size: 110%"><strong>Thông số kỹ thuật GPU NVIDIA A100 80GB COWOS HBM2E PCIE 4.0</strong></span></h3>
<table class="thong-so-ky-thuat-32" style="height: 442px" width="1436">
<tbody>
<tr>
<th colspan="3"><span style="font-size: 110%"><strong>Specifications GPU NVIDIA A100 80GB HBM2e PCIe 4.0</strong></span></th>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>FP64</strong></span></td>
<td><span style="font-size: 110%"><strong>9.7 TFLOPS</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>FP64 Tensor Cors</strong></span></td>
<td><span style="font-size: 110%"><strong>19.5 TFLOPS</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>FP32</strong></span></td>
<td><span style="font-size: 110%"><strong>19.5 TFLOPS</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Tensor Float 32 (TF32)</strong></span></td>
<td><span style="font-size: 110%"><strong>156 TFLOPS</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>BFLOAT16 Tensor Core</strong></span></td>
<td><span style="font-size: 110%"><strong>312 TFLOPS</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>FP16 Tensor Core</strong></span></td>
<td><span style="font-size: 110%"><strong>312 TFLOPS</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>INT8 Tensor Core</strong></span></td>
<td><span style="font-size: 110%"><strong>624 TOPS</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>GPU Memory</strong></span></td>
<td><span style="font-size: 110%"><strong>80GB HBM2e</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>GPU Memory Bandwidth</strong></span></td>
<td><span style="font-size: 110%"><strong>1,935GB/s</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Max Thermal Design Power(TDP)</strong></span></td>
<td><span style="font-size: 110%"><strong>300W</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Multi-Instance GPU</strong></span></td>
<td><span style="font-size: 110%"><strong>Up to 7 MIGs @ 10GB</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Form Factor</strong></span></td>
<td><span style="font-size: 110%"><strong>PCIe(dual-slot air cooled or single-slot liquid cooled)</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Interconnect</strong></span></td>
<td>
<ul>
<li><span style="font-size: 110%"><strong>NVIDIA® NVLink® Bridge for 2 GPUs: 600GB/s</strong></span></li>
<li><span style="font-size: 110%"><strong>PCIe Gen4: 64GB/s</strong></span></li>
</ul>
</td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Server Options</strong></span></td>
<td><span style="font-size: 110%"><strong>Partner and NVIDIACertified Systems™ with 1-8 GPUs</strong></span></td>
</tr>
</tbody>
</table>
<h2><span style="font-size: 110%"><strong>Hình ảnh tham khảo :</strong></span></h2>
<p>&nbsp;</p>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-nvidia-tesla-a100-80gb-hbm2-sxm4-convert-pci-e-4-0/">GPU Nvidia Tesla A100 80GB HBM2 sxm4 convert pci-e 4.0</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>GPU Nvidia Tesla A100 40GB HBM2 sxm4 convert pci-e 4.0</title>
		<link>https://maychuzin.com/server-maychu/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0/</link>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Wed, 29 Apr 2026 04:39:30 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=7932</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Hàng đặt,Giao sau 10-15 ngày</a><br />
<i class="fa fa-check-circle green"> </i><a> Tên sản phẩm : NVIDIA A100 Tensor Core GPU (PCIe, 40 GB)</a><br />
<i class="fa fa-check-circle green"> </i><a> Bộ nhớ GPU :40 GB HBM2</a><br />
<i class="fa fa-check-circle green"> </i><a> Giao tiếp host : PCI Express 4.0 ×16</a><br />
<i class="fa fa-check-circle green"> </i><a> Công suất thiết kế tối đa (TDP / Board Power) : 250 W</a><br />
<i class="fa fa-check-circle green"> </i><a> Lưu ý : hình ảnh chỉ mang tính chất minh hoạ</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0/">GPU Nvidia Tesla A100 40GB HBM2 sxm4 convert pci-e 4.0</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1><span style="font-size: 110%"><strong>GPU Nvidia Tesla A100 40GB HBM2 sxm4 convert pci-e 4.0</strong></span></h1>
<h3><span style="font-size: 110%"><strong>Tình trạng:</strong></span></h3>
<ul>
<li>
<ul>
<li><span style="font-size: 110%"><strong>Hàng đặt,Giao sau 10-15 ngày</strong></span></li>
<li><span style="font-size: 110%"><strong>Lưu ý : hình ảnh chỉ mang tính chất minh hoạ</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng,hàng tháo máy</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
</ul>
</li>
</ul>
<h2><span style="font-size: 110%"><strong>Thông số kỹ thuật :</strong></span></h2>
<table style="height: 619px" width="1468">
<thead>
<tr>
<th><span style="font-size: 110%"><strong>Thông số</strong></span></th>
<th><span style="font-size: 110%"><strong>Giá trị</strong></span></th>
</tr>
</thead>
<tbody>
<tr>
<td><span style="font-size: 110%"><strong>Tên sản phẩm</strong></span></td>
<td><span style="font-size: 110%"><strong>NVIDIA A100 Tensor Core GPU (PCIe, 40 GB)</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Kiến trúc</strong></span></td>
<td><span style="font-size: 110%"><strong>Ampere (GPU GA100)</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Bộ nhớ GPU</strong></span></td>
<td><span style="font-size: 110%"><strong>40 GB HBM2</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Băng thông bộ nhớ (Memory Bandwidth)</strong></span></td>
<td><span style="font-size: 110%"><strong>~ 1,555 GB/s</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Tốc độ bộ nhớ (Memory Clock)</strong></span></td>
<td><span style="font-size: 110%"><strong>1,215 MHz (DDR)</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Bus bộ nhớ</strong></span></td>
<td><span style="font-size: 110%"><strong>5,120-bit</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Tốc độ GPU / xung cơ bản (Base Clock)</strong></span></td>
<td><span style="font-size: 110%"><strong>~ 765 MHz</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Tốc độ GPU / xung boost (Boost Clock)</strong></span></td>
<td><span style="font-size: 110%"><strong>~ 1,410 MHz</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Giao tiếp host</strong></span></td>
<td><span style="font-size: 110%"><strong>PCI Express 4.0 ×16</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Công suất thiết kế tối đa (TDP / Board Power)</strong></span></td>
<td><span style="font-size: 110%"><strong>250 W</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Kích thước &amp; dạng</strong></span></td>
<td><span style="font-size: 110%"><strong>Dual-slot, full-height/full-length (FHFL), dài ~ 10.5 inch (~ 267 mm)</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Kết nối nguồn</strong></span></td>
<td><span style="font-size: 110%"><strong>1× cổng nguồn phụ 8-pin</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Công nghệ hỗ trợ</strong></span></td>
<td><span style="font-size: 110%"><strong>ECC (bộ nhớ và các vùng quan trọng khác), MIG (Multi-Instance GPU), tối đa 7 MIGs, mỗi MIG ~ 5 GB NVLink Bridge hỗ trợ kết nối 2 GPU với băng thông NVLink giữa 2 card</strong></span></td>
</tr>
<tr>
<td><span style="font-size: 110%"><strong>Hiệu năng thực/FLOPS</strong></span></td>
<td><span style="font-size: 110%"><strong>FP64: ~ 9.7 TFLOPS FP32: ~ 19.5 TFLOPS Tensor Float 32 (TF32): ~ 156 TFLOPS BFLOAT16 / FP16 Tensor Cores: ~ 312 TFLOPS (chưa bật sparsity) INT8 Tensor Cores: ~ 624 TOPS</strong></span></td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>
<h2><span style="font-size: 110%"><strong>Hình ảnh tham khảo :</strong></span></h2>
<figure id="attachment_7933" aria-describedby="caption-attachment-7933" style="width: 800px" class="wp-caption alignnone"><img fetchpriority="high" decoding="async" class="size-full wp-image-7933" title="gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 01" src="https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-01.jpg" alt="gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 01" width="800" height="800" srcset="https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-01.jpg 800w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-01-300x300.jpg 300w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-01-150x150.jpg 150w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-01-768x768.jpg 768w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-01-510x510.jpg 510w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-01-100x100.jpg 100w" sizes="(max-width: 800px) 100vw, 800px" /><figcaption id="caption-attachment-7933" class="wp-caption-text">gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 01</figcaption></figure>
<figure id="attachment_7934" aria-describedby="caption-attachment-7934" style="width: 800px" class="wp-caption alignnone"><img decoding="async" class="size-full wp-image-7934" title="gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 02" src="https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-02.jpg" alt="gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 02" width="800" height="800" srcset="https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-02.jpg 800w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-02-300x300.jpg 300w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-02-150x150.jpg 150w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-02-768x768.jpg 768w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-02-510x510.jpg 510w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-02-100x100.jpg 100w" sizes="(max-width: 800px) 100vw, 800px" /><figcaption id="caption-attachment-7934" class="wp-caption-text">gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 02</figcaption></figure>
<figure id="attachment_7935" aria-describedby="caption-attachment-7935" style="width: 800px" class="wp-caption alignnone"><img decoding="async" class="size-full wp-image-7935" title="gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 03" src="https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-03.jpg" alt="gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 03" width="800" height="800" srcset="https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-03.jpg 800w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-03-300x300.jpg 300w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-03-150x150.jpg 150w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-03-768x768.jpg 768w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-03-510x510.jpg 510w, https://maychuzin.com/wp-content/uploads/2026/04/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0-03-100x100.jpg 100w" sizes="(max-width: 800px) 100vw, 800px" /><figcaption id="caption-attachment-7935" class="wp-caption-text">gpu nvidia tesla a100 40gb hbm2 sxm4 convert pci e 4 0 03</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-nvidia-tesla-a100-40gb-hbm2-sxm4-convert-pci-e-4-0/">GPU Nvidia Tesla A100 40GB HBM2 sxm4 convert pci-e 4.0</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></content:encoded>
					
		
		
			</item>
		<item>
		<title>GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090</title>
		<link>https://maychuzin.com/server-maychu/gpu-nvidia-tesla-v100-16gb-hbm2-sxm2-mod-fan-rtx-4090/</link>
					<comments>https://maychuzin.com/server-maychu/gpu-nvidia-tesla-v100-16gb-hbm2-sxm2-mod-fan-rtx-4090/#respond</comments>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Mon, 15 Sep 2025 03:22:25 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=7367</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Hàng đặt,Giao sau 10-15 ngày</a><br />
<i class="fa fa-check-circle green"> </i><a> Ưu điểm, tản to hơn, đẹp hơn, quạt êm hơn bản quạt turbo</a><br />
<i class="fa fa-check-circle green"> </i><a> Nhược điểm, chiếm 4 khe pci-e, dsooj dài 33cm, cần thùng máy to, hoặc để bên ngoài thùng máy</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-nvidia-tesla-v100-16gb-hbm2-sxm2-mod-fan-rtx-4090/">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2><span style="font-size: 110%"><strong>GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090</strong></span></h2>
<h3><span style="font-size: 110%"><strong>Tình trạng:<i class="fa fa-check-circle green"></i></strong></span></h3>
<ul>
<li><span style="font-size: 110%"><strong>Hàng đặt,Giao sau 10-15 ngày</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng, tháo máy server</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
<li><span style="font-size: 110%"><strong>Bảo hành: 01 tháng (mặc định), 06 tháng, 12 tháng (tùy chọn)</strong></span></li>
<li><span style="font-size: 110%"><strong>Ưu điểm, tản to hơn, đẹp hơn, quạt êm hơn bản quạt turbo</strong></span></li>
<li><span style="font-size: 110%"><strong>Nhược điểm, chiếm 4 khe pci-e, dsooj dài 33cm, cần thùng máy to, hoặc để bên ngoài thùng máy</strong></span></li>
</ul>
<h2>Lưu ý:  Đây là dòng card tùy biến, Card gốc là loại V100 chính hãng NVIDIA chuẩn giao tiếp SXM2, card tùy biến dùng thẻ chuyển đổi giao diện SXM2 thành giao diện PCI-E phổ biến lắp được trên tất cả các dòng bo mạch chủ có khe pci-e 16x</h2>
<h2>Card đã tùy biến sửa tản nhiệt và quạt, (card gốc tản nhiệt to, không có quạt, sử dụng tản nhiệt của server)</h2>
<h2>Âm thanh quạt khá lớn và ồn, nếu lắp trong PC cá nhân muốn êm hơn thì lựa chọn dòng card có quạt tùy chỉnh loại lớn, quạt êm hơn</h2>
<h2></h2>
<h3 data-start="1313" data-end="1329"><span style="font-size: 110%"><strong>Bảng tóm tắt</strong></span></h3>
<div class="_tableContainer_1rjym_1">
<div class="_tableWrapper_1rjym_13 group flex w-fit flex-col-reverse">
<table class="w-fit min-w-(--thread-content-width)" style="height: 395px" width="1183" data-start="1331" data-end="1834">
<thead data-start="1331" data-end="1363">
<tr data-start="1331" data-end="1363">
<th data-start="1331" data-end="1351" data-col-size="sm"><span style="font-size: 110%"><strong>Thuộc tính</strong></span></th>
<th data-start="1351" data-end="1363" data-col-size="sm"><span style="font-size: 110%"><strong>Thông số</strong></span></th>
</tr>
</thead>
<tbody data-start="1397" data-end="1834">
<tr data-start="1397" data-end="1433">
<td data-start="1397" data-end="1417" data-col-size="sm"><span style="font-size: 110%"><strong>GPU Architecture</strong></span></td>
<td data-col-size="sm" data-start="1417" data-end="1433"><span style="font-size: 110%"><strong>NVIDIA Volta</strong></span></td>
</tr>
<tr data-start="1434" data-end="1463">
<td data-start="1434" data-end="1454" data-col-size="sm"><span style="font-size: 110%"><strong>CUDA Cores</strong></span></td>
<td data-col-size="sm" data-start="1454" data-end="1463"><span style="font-size: 110%"><strong>5.120</strong></span></td>
</tr>
<tr data-start="1464" data-end="1491">
<td data-start="1464" data-end="1484" data-col-size="sm"><span style="font-size: 110%"><strong>Tensor Cores</strong></span></td>
<td data-col-size="sm" data-start="1484" data-end="1491"><span style="font-size: 110%"><strong>640</strong></span></td>
</tr>
<tr data-start="1492" data-end="1526">
<td data-start="1492" data-end="1512" data-col-size="sm"><span style="font-size: 110%"><strong>Bộ nhớ</strong></span></td>
<td data-col-size="sm" data-start="1512" data-end="1526"><span style="font-size: 110%"><strong>16 GB HBM2</strong></span></td>
</tr>
<tr data-start="1527" data-end="1560">
<td data-start="1527" data-end="1547" data-col-size="sm"><span style="font-size: 110%"><strong>Băng thông</strong></span></td>
<td data-start="1547" data-end="1560" data-col-size="sm"><span style="font-size: 110%"><strong>~900 GB/s</strong></span></td>
</tr>
<tr data-start="1561" data-end="1596">
<td data-start="1561" data-end="1581" data-col-size="sm"><span style="font-size: 110%"><strong>FP64 Performance</strong></span></td>
<td data-start="1581" data-end="1596" data-col-size="sm"><span style="font-size: 110%"><strong>~7,0 TFLOPS</strong></span></td>
</tr>
<tr data-start="1597" data-end="1631">
<td data-start="1597" data-end="1617" data-col-size="sm"><span style="font-size: 110%"><strong>FP32 Performance</strong></span></td>
<td data-start="1617" data-end="1631" data-col-size="sm"><span style="font-size: 110%"><strong>~14 TFLOPS</strong></span></td>
</tr>
<tr data-start="1632" data-end="1667">
<td data-start="1632" data-end="1652" data-col-size="sm"><span style="font-size: 110%"><strong>Tensor Performance</strong></span></td>
<td data-start="1652" data-end="1667" data-col-size="sm"><span style="font-size: 110%"><strong>~112 TFLOPS</strong></span></td>
</tr>
<tr data-start="1668" data-end="1713">
<td data-start="1668" data-end="1688" data-col-size="sm"><span style="font-size: 110%"><strong>Bus Interface</strong></span></td>
<td data-col-size="sm" data-start="1688" data-end="1713"><span style="font-size: 110%"><strong>PCIe 3.0 x16 + NVLink</strong></span></td>
</tr>
<tr data-start="1714" data-end="1747">
<td data-start="1714" data-end="1734" data-col-size="sm"><span style="font-size: 110%"><strong>NVLink Bandwidth</strong></span></td>
<td data-col-size="sm" data-start="1734" data-end="1747"><span style="font-size: 110%"><strong>~300 GB/s</strong></span></td>
</tr>
<tr data-start="1748" data-end="1798">
<td data-start="1748" data-end="1768" data-col-size="sm"><span style="font-size: 110%"><strong>TDP</strong></span></td>
<td data-start="1768" data-end="1798" data-col-size="sm"><span style="font-size: 110%"><strong>300 W (SXM2), 250 W (PCIe)</strong></span></td>
</tr>
<tr data-start="1799" data-end="1834">
<td data-start="1799" data-end="1819" data-col-size="sm"><span style="font-size: 110%"><strong>Form Factor</strong></span></td>
<td data-start="1819" data-end="1834" data-col-size="sm"><span style="font-size: 110%"><strong>SXM2 module</strong></span></td>
</tr>
</tbody>
</table>
</div>
</div>
<h2></h2>
<h2 data-start="148" data-end="176"><span style="font-size: 110%"><strong>1. Kiến trúc &amp; Nhân xử lý</strong></span></h2>
<ul data-start="177" data-end="403">
<li data-start="177" data-end="212">
<p data-start="179" data-end="212"><span style="font-size: 110%"><strong>Kiến trúc GPU: NVIDIA Volta</strong></span></p>
</li>
<li data-start="213" data-end="237">
<p data-start="215" data-end="237"><span style="font-size: 110%"><strong>Nhân CUDA: 5.120</strong></span></p>
</li>
<li data-start="238" data-end="295">
<p data-start="240" data-end="295"><span style="font-size: 110%"><strong>Tensor Cores: 640 (tối ưu cho AI / Deep Learning)</strong></span></p>
</li>
<li data-start="296" data-end="403">
<p data-start="298" data-end="314"><span style="font-size: 110%"><strong>Hiệu năng:</strong></span></p>
<ul data-start="317" data-end="403">
<li data-start="317" data-end="338">
<p data-start="319" data-end="338"><span style="font-size: 110%"><strong>FP64: ~7,0 TFLOPS</strong></span></p>
</li>
<li data-start="341" data-end="361">
<p data-start="343" data-end="361"><span style="font-size: 110%"><strong>FP32: ~14 TFLOPS</strong></span></p>
</li>
<li data-start="364" data-end="403">
<p data-start="366" data-end="403"><span style="font-size: 110%"><strong>Tensor (Deep Learning): ~112 TFLOPS</strong></span></p>
</li>
</ul>
</li>
</ul>
<hr data-start="405" data-end="408" />
<h2 data-start="410" data-end="422"><span style="font-size: 110%"><strong>2. Bộ nhớ</strong></span></h2>
<ul data-start="423" data-end="589">
<li data-start="423" data-end="453">
<p data-start="425" data-end="453"><span style="font-size: 110%"><strong>Dung lượng: 16 GB HBM2</strong></span></p>
</li>
<li data-start="454" data-end="490">
<p data-start="456" data-end="490"><span style="font-size: 110%"><strong>Băng thông bộ nhớ: ~900 GB/s</strong></span></p>
</li>
<li data-start="491" data-end="589">
<p data-start="493" data-end="589"><span style="font-size: 110%"><strong>Công nghệ đóng gói: CoWoS (Chip-on-Wafer-on-Substrate) giúp giảm độ trễ và tăng băng thông</strong></span></p>
</li>
</ul>
<hr data-start="591" data-end="594" />
<h2 data-start="596" data-end="615"><span style="font-size: 110%"><strong>3. Kết nối &amp; Bus</strong></span></h2>
<ul data-start="616" data-end="891">
<li data-start="616" data-end="665">
<p data-start="618" data-end="665"><span style="font-size: 110%"><strong>Chuẩn bus: PCI Express 3.0 x16 (~32 GB/s)</strong></span></p>
</li>
<li data-start="666" data-end="770">
<p data-start="668" data-end="770"><span style="font-size: 110%"><strong>Kết nối liên GPU: NVLink 2.0, băng thông tối đa 300 GB/s (trong hệ thống hỗ trợ SXM2/NVLink)</strong></span></p>
</li>
<li data-start="771" data-end="891">
<p data-start="773" data-end="891"><span style="font-size: 110%"><strong>Giao diện vật lý: Module SXM2 (cần server hoặc mainboard hỗ trợ socket SXM2; có thể dùng board chuyển sang PCIe)</strong></span></p>
</li>
</ul>
<hr data-start="893" data-end="896" />
<h2 data-start="898" data-end="925"><span style="font-size: 110%"><strong>4. Điện năng &amp; Tản nhiệt</strong></span></h2>
<ul data-start="926" data-end="1052">
<li data-start="926" data-end="975">
<p data-start="928" data-end="975"><span style="font-size: 110%"><strong>TDP: ~300 W (SXM2) hoặc ~250 W (bản PCIe)</strong></span></p>
</li>
<li data-start="976" data-end="1052">
<p data-start="978" data-end="1052"><span style="font-size: 110%"><strong>Tản nhiệt: Sử dụng hệ thống làm mát của server hoặc giải pháp custom</strong></span></p>
</li>
</ul>
<hr data-start="1054" data-end="1057" />
<h2 data-start="1059" data-end="1086"><span style="font-size: 110%"><strong>5. Kích thước &amp; Ứng dụng</strong></span></h2>
<ul data-start="1087" data-end="1306">
<li data-start="1087" data-end="1150">
<p data-start="1089" data-end="1150"><span style="font-size: 110%"><strong>Form factor: SXM2 module (không gắn thẳng vào khe PCIe)</strong></span></p>
</li>
<li data-start="1151" data-end="1306">
<p data-start="1153" data-end="1174"><span style="font-size: 110%"><strong>Ứng dụng chính:</strong></span></p>
<ul data-start="1177" data-end="1306">
<li data-start="1177" data-end="1213">
<p data-start="1179" data-end="1213"><span style="font-size: 110%"><strong>High Performance Computing (HPC)</strong></span></p>
</li>
<li data-start="1216" data-end="1260">
<p data-start="1218" data-end="1260"><span style="font-size: 110%"><strong>Huấn luyện &amp; suy luận AI / Deep Learning</strong></span></p>
</li>
<li data-start="1263" data-end="1306">
<p data-start="1265" data-end="1306"><span style="font-size: 110%"><strong>Xử lý dữ liệu khoa học, mô phỏng vật lý</strong></span></p>
</li>
</ul>
</li>
</ul>
<h2><strong>Hình ảnh tham khảo : </strong></h2>
<figure id="attachment_7368" aria-describedby="caption-attachment-7368" style="width: 960px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7368" title="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 01" src="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-01.jpg" alt="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 01" width="960" height="648" srcset="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-01.jpg 960w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-01-300x203.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-01-768x518.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-01-510x344.jpg 510w" sizes="auto, (max-width: 960px) 100vw, 960px" /><figcaption id="caption-attachment-7368" class="wp-caption-text">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 01</figcaption></figure>
<figure id="attachment_7369" aria-describedby="caption-attachment-7369" style="width: 960px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7369" title="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 02" src="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-02.jpg" alt="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 02" width="960" height="668" srcset="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-02.jpg 960w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-02-300x209.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-02-768x534.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-02-510x355.jpg 510w" sizes="auto, (max-width: 960px) 100vw, 960px" /><figcaption id="caption-attachment-7369" class="wp-caption-text">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 02</figcaption></figure>
<figure id="attachment_7370" aria-describedby="caption-attachment-7370" style="width: 960px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7370" title="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 03" src="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-03.jpg" alt="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 03" width="960" height="668" srcset="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-03.jpg 960w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-03-300x209.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-03-768x534.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-03-510x355.jpg 510w" sizes="auto, (max-width: 960px) 100vw, 960px" /><figcaption id="caption-attachment-7370" class="wp-caption-text">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 03</figcaption></figure>
<figure id="attachment_7371" aria-describedby="caption-attachment-7371" style="width: 948px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7371" title="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 04" src="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-04.jpg" alt="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 04" width="948" height="672" srcset="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-04.jpg 948w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-04-300x213.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-04-768x544.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-04-510x362.jpg 510w" sizes="auto, (max-width: 948px) 100vw, 948px" /><figcaption id="caption-attachment-7371" class="wp-caption-text">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 04</figcaption></figure>
<figure id="attachment_7372" aria-describedby="caption-attachment-7372" style="width: 960px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7372" title="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 05" src="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-05.jpg" alt="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 05" width="960" height="676" srcset="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-05.jpg 960w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-05-300x211.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-05-768x541.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-05-510x359.jpg 510w" sizes="auto, (max-width: 960px) 100vw, 960px" /><figcaption id="caption-attachment-7372" class="wp-caption-text">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 05</figcaption></figure>
<figure id="attachment_7373" aria-describedby="caption-attachment-7373" style="width: 1080px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7373" title="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 06" src="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-06.jpg" alt="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 06" width="1080" height="1332" srcset="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-06.jpg 1080w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-06-243x300.jpg 243w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-06-830x1024.jpg 830w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-06-768x947.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-06-510x629.jpg 510w" sizes="auto, (max-width: 1080px) 100vw, 1080px" /><figcaption id="caption-attachment-7373" class="wp-caption-text">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 06</figcaption></figure>
<figure id="attachment_7374" aria-describedby="caption-attachment-7374" style="width: 1440px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7374" title="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 07" src="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-07.jpg" alt="GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 07" width="1440" height="992" srcset="https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-07.jpg 1440w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-07-300x207.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-07-1024x705.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-07-768x529.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/GPU-NVIDIA-Tesla-V100-16GB-HBM2-sxm2-mod-fan-rtx-4090-07-510x351.jpg 510w" sizes="auto, (max-width: 1440px) 100vw, 1440px" /><figcaption id="caption-attachment-7374" class="wp-caption-text">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090 07</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-nvidia-tesla-v100-16gb-hbm2-sxm2-mod-fan-rtx-4090/">GPU NVIDIA Tesla V100 16GB HBM2 sxm2 mod fan rtx 4090</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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		<title>GPU AMD Radeon Instinct MI50 32GB HBM2 tản nhiệt RTX 4090</title>
		<link>https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090/</link>
					<comments>https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090/#respond</comments>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Wed, 03 Sep 2025 08:06:05 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=7306</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a>Lưu ý, đây là card đã custom thay đổi quạt mod thêm quạt tản nhiệt, không phải bản gốc, đây là card AI, bản tản nhiệt gốc không có quạt, chỉ lắp được trong máy chủ có sẵn fan hệ thống. Card này đã custom thêm quạt, giữ tản nhiệt gốc, tuy nhiên quạt này nếu chạy full cô g suất sẽ hơi ồn, lắp được vào máy pc để bàn, flash bios của card radeon pro vii, chơi game và dùng AI đều đc</a><br />
<i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Đặt hàng ,Thời gian đặt 10-15 ngày</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090/">GPU AMD Radeon Instinct MI50 32GB HBM2 tản nhiệt RTX 4090</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1>GPU AMD Radeon Instinct MI50 32GB HBM2 tản nhiệt RTX 4090</h1>
<h2><span style="font-size: 110%"><strong>Tình trạng:</strong></span></h2>
<ul>
<li style="list-style-type: none">
<ul>
<li><span style="font-size: 110%"><strong>Đặt hàng ,Thời gian đặt 10-15 ngày</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
<li><span style="font-size: 110%"><strong>Bảo hành: 01 tháng (mặc định), 06 tháng, 12 tháng (tùy chọn)</strong></span></li>
</ul>
</li>
</ul>
<h1><strong>Thông tin sản phẩm :</strong></h1>
<p><span style="font-size: 110%"><strong>GPU AMD Radeon Instinct MI50 32GB HBM2 tản nhiệt RTX 4090</strong></span></p>
<p><span style="font-size: 110%"><strong>Lưu ý, đây là card đã custom thay đổi quạt mod thêm quạt tản nhiệt, không phải bản gốc, đây là card AI, bản tản nhiệt gốc không có quạt, chỉ lắp được trong máy chủ có sẵn fan hệ thống. Card này đã custom thêm quạt, giữ tản nhiệt gốc, tuy nhiên quạt này nếu chạy full cô g suất sẽ hơi ồn, lắp được vào máy pc để bàn, flash bios của card radeon pro vii, chơi game và dùng AI đều đc</strong></span></p>
<p><span style="font-size: 110%"><strong>1. BIOS được flash sẵn với khả năng hỗ trợ Windows cho Radeon PRO VII và 95% phần mềm chuyên nghiệp gốc của Radeon PRO VII.</strong></span></p>
<p><span style="font-size: 110%"><strong>2. Không cần chỉnh sửa trình điều khiển; cài đặt trực tiếp deivers từ trang web chính thức của AMD. Tìm theo model radeon pro vii, Hỗ trợ CrossFire kép GPU hoặc AI đa GPU song song. Xin lưu ý rằng cổng mini-DP trên card này không có âm thanh.</strong></span></p>
<p><span style="font-size: 110%"><strong>3. Ngõ ra hiển thị mini-DP đã được sửa đổi hỗ trợ độ phân giải cao 2K/4K và tần số quét cao. Sử dụng cáp dữ liệu chính hãng, chẳng hạn như UGREEN. Bo mạch chủ cần hỗ trợ video coding 4k</strong></span></p>
<p><span style="font-size: 110%"><strong>4. Sản phẩm có tính năng làm mát turbo chủ động với khả năng kiểm soát nhiệt độ tự động. Sản phẩm sử dụng bộ tản nhiệt mới và quạt kép ở mặt sau, cùng với luồng khí được thiết kế lại trên toàn bộ card, giúp giữ nhiệt độ lõi ở mức khoảng 65°C, tạo nhiều không gian cho việc ép xung nhẹ. Card đồ họa này chỉ có một cổng mini-port, yêu cầu người mua phải tự mang theo cáp xuất video, vì vậy hãy đặt hàng cẩn thận sau khi xác nhận màn hình của bạn! Nếu màn hình có cổng khác thì cầb mua thêm cáp chuyển đổi sang HDMI, VGA, DP, DVI &#8230;.vv</strong></span></p>
<p><span style="font-size: 110%"><strong>5. Card đồ họa này là một sản phẩm đã qua sử dụng, đã được tháo rời. Chúng tôi đã lắp đặt một quạt turbo màu đỏ tích hợp để làm mát! Tình trạng của card còn 90%, mặc dù có thể có một số vết gỉ sét. Xin hãy lưu ý và đặt hàng cẩn thận!</strong></span></p>
<p><span style="font-size: 110%"><strong>6. Nếu bạn quan tâm, vui lòng đặt hàng trực tiếp. Vui lòng chỉ đặt hàng nếu bạn thấy phù hợp. Xin cảm ơn!</strong></span></p>
<h1><strong>Hình ảnh tham khảo :</strong></h1>
<figure id="attachment_7312" aria-describedby="caption-attachment-7312" style="width: 790px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7312" title="gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 01" src="https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-01.jpg" alt="gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 01" width="790" height="1053" srcset="https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-01.jpg 790w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-01-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-01-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-01-510x680.jpg 510w" sizes="auto, (max-width: 790px) 100vw, 790px" /><figcaption id="caption-attachment-7312" class="wp-caption-text">gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 01</figcaption></figure>
<figure id="attachment_7313" aria-describedby="caption-attachment-7313" style="width: 790px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7313" title="gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 02" src="https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-02.jpg" alt="gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 02" width="790" height="593" srcset="https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-02.jpg 790w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-02-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-02-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-02-510x383.jpg 510w" sizes="auto, (max-width: 790px) 100vw, 790px" /><figcaption id="caption-attachment-7313" class="wp-caption-text">gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 02</figcaption></figure>
<figure id="attachment_7314" aria-describedby="caption-attachment-7314" style="width: 790px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7314" title="gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 03" src="https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-03.jpg" alt="gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 03" width="790" height="593" srcset="https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-03.jpg 790w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-03-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-03-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/09/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090-03-510x383.jpg 510w" sizes="auto, (max-width: 790px) 100vw, 790px" /><figcaption id="caption-attachment-7314" class="wp-caption-text">gpu amd radeon instinct mi50 32gb hbm2 tan nhiet rtx 4090 03</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-32gb-hbm2-tan-nhiet-rtx-4090/">GPU AMD Radeon Instinct MI50 32GB HBM2 tản nhiệt RTX 4090</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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		<title>GPU AMD Radeon Instinct MI50 16GB HBM2 tản gốc thêm quạt</title>
		<link>https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat/</link>
					<comments>https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat/#respond</comments>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Mon, 25 Aug 2025 03:58:07 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=7240</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a>Lưu ý, đây là card đã custom thay đổi quạt mod thêm quạt tản nhiệt, không phải bản gốc, đây là card AI, bản tản nhiệt gốc không có quạt, chỉ lắp được trong máy chủ có sẵn fan hệ thống. Card này đã custom thêm quạt, giữ tản nhiệt gốc, tuy nhiên quạt này nếu chạy full cô g suất sẽ hơi ồn, lắp được vào máy pc để bàn, flash bios của card radeon pro vii, chơi game và dùng AI đều đc</a><br />
<i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Đặt hàng ,Thời gian đặt 10-15 ngày</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat/">GPU AMD Radeon Instinct MI50 16GB HBM2 tản gốc thêm quạt</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1><strong>GPU AMD Radeon Instinct MI50 16GB HBM2 tản gốc thêm quạt</strong></h1>
<h2><span style="font-size: 110%"><strong>Tình trạng:</strong></span></h2>
<ul>
<li>
<ul>
<li><span style="font-size: 110%"><strong>Đặt hàng ,Thời gian đặt 10-15 ngày</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
<li><span style="font-size: 110%"><strong>Bảo hành: 01 tháng (mặc định), 06 tháng, 12 tháng (tùy chọn)</strong></span></li>
</ul>
</li>
</ul>
<h1><strong>Thông tin sản phẩm :</strong></h1>
<p><span style="font-size: 110%"><strong>Card đồ họa VGA GPU AMD Radeon Instinct MI50 16GB bộ nhớ HBM2 </strong></span></p>
<p><span style="font-size: 110%"><strong>Lưu ý, đây là card đã custom thay đổi quạt mod thêm quạt tản nhiệt, không phải bản gốc, đây là card AI, bản tản nhiệt gốc không có quạt, chỉ lắp được trong máy chủ có sẵn fan hệ thống. Card này đã custom thêm quạt, giữ tản nhiệt gốc, tuy nhiên quạt này nếu chạy full cô g suất sẽ hơi ồn, lắp được vào máy pc để bàn, flash bios của card radeon pro vii, chơi game và dùng AI đều đc</strong></span></p>
<p><span style="font-size: 110%"><strong>1. BIOS được flash sẵn với khả năng hỗ trợ Windows cho Radeon PRO VII và 95% phần mềm chuyên nghiệp gốc của Radeon PRO VII.</strong></span></p>
<p><span style="font-size: 110%"><strong>2. Không cần chỉnh sửa trình điều khiển; cài đặt trực tiếp deivers từ trang web chính thức của AMD. Tìm theo model radeon pro vii, Hỗ trợ CrossFire kép GPU hoặc AI đa GPU song song. Xin lưu ý rằng cổng mini-DP trên card này không có âm thanh.</strong></span></p>
<p><span style="font-size: 110%"><strong>3. Ngõ ra hiển thị mini-DP đã được sửa đổi hỗ trợ độ phân giải cao 2K/4K và tần số quét cao. Sử dụng cáp dữ liệu chính hãng, chẳng hạn như UGREEN. Bo mạch chủ cần hỗ trợ video coding 4k</strong></span></p>
<p><span style="font-size: 110%"><strong>4. Sản phẩm có tính năng làm mát turbo chủ động với khả năng kiểm soát nhiệt độ tự động. Sản phẩm sử dụng bộ tản nhiệt mới và quạt kép ở mặt sau, cùng với luồng khí được thiết kế lại trên toàn bộ card, giúp giữ nhiệt độ lõi ở mức khoảng 65°C, tạo nhiều không gian cho việc ép xung nhẹ. Card đồ họa này chỉ có một cổng mini-port, yêu cầu người mua phải tự mang theo cáp xuất video, vì vậy hãy đặt hàng cẩn thận sau khi xác nhận màn hình của bạn! Nếu màn hình có cổng khác thì cầb mua thêm cáp chuyển đổi sang HDMI, VGA, DP, DVI &#8230;.vv</strong></span></p>
<p><span style="font-size: 110%"><strong>5. Card sở hữu hiệu năng double-precision đầy đủ và có thể được sử dụng trực tiếp như Radeon Pro VII. Sức mạnh tính toán của nó rất mạnh mẽ, với hiệu năng học sâu tương đương với 3080 và hiệu năng chơi game nằm giữa RTX 3060 và 3060 Ti. Nó hỗ trợ Hackintosh, biến nó thành một công cụ dựng hình mạnh mẽ cho hiệu suất tối đa trên các hệ thống Hackintosh.</strong></span></p>
<p><span style="font-size: 110%"><strong>6. Card đồ họa này là một sản phẩm đã qua sử dụng, đã được tháo rời. Chúng tôi đã lắp đặt một quạt turbo màu đỏ tích hợp để làm mát! Tình trạng của card còn 90%, mặc dù có thể có một số vết gỉ sét. Xin hãy lưu ý và đặt hàng cẩn thận!</strong></span></p>
<p><span style="font-size: 110%"><strong>7. Nếu bạn quan tâm, vui lòng đặt hàng trực tiếp. Vui lòng chỉ đặt hàng nếu bạn thấy phù hợp. Xin cảm ơn!</strong></span></p>
<p><span style="font-size: 110%"><strong>Nguồn điện của card là 300w vì vậy Nguồn điện của máy tính phải có công suất thực từ ​​500W trở lên, vì vậy vui lòng cân nhắc khi đặt hàng!</strong></span></p>
<h1><strong>Hình ảnh tham khảo :</strong></h1>
<figure id="attachment_7241" aria-describedby="caption-attachment-7241" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7241" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 01" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-01.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 01" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-01.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-01-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-01-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-01-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-01-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-01-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-7241" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 01</figcaption></figure>
<figure id="attachment_7242" aria-describedby="caption-attachment-7242" style="width: 1708px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7242" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 02" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-02.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 02" width="1708" height="1280" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-02.jpg 1708w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-02-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-02-1024x767.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-02-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-02-1536x1151.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-02-510x382.jpg 510w" sizes="auto, (max-width: 1708px) 100vw, 1708px" /><figcaption id="caption-attachment-7242" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 02</figcaption></figure>
<figure id="attachment_7243" aria-describedby="caption-attachment-7243" style="width: 1708px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7243" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 03" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-03.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 03" width="1708" height="1280" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-03.jpg 1708w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-03-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-03-1024x767.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-03-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-03-1536x1151.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-03-510x382.jpg 510w" sizes="auto, (max-width: 1708px) 100vw, 1708px" /><figcaption id="caption-attachment-7243" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 03</figcaption></figure>
<figure id="attachment_7244" aria-describedby="caption-attachment-7244" style="width: 1280px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7244" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 04" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-04.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 04" width="1280" height="1708" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-04.jpg 1280w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-04-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-04-767x1024.jpg 767w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-04-768x1025.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-04-1151x1536.jpg 1151w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-04-510x681.jpg 510w" sizes="auto, (max-width: 1280px) 100vw, 1280px" /><figcaption id="caption-attachment-7244" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 04</figcaption></figure>
<figure id="attachment_7245" aria-describedby="caption-attachment-7245" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7245" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 05" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-05.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 05" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-05.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-05-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-05-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-05-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-05-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-05-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-7245" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 05</figcaption></figure>
<figure id="attachment_7246" aria-describedby="caption-attachment-7246" style="width: 1912px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7246" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 06" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-06.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 06" width="1912" height="1076" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-06.jpg 1912w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-06-300x169.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-06-1024x576.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-06-768x432.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-06-1536x864.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-06-510x287.jpg 510w" sizes="auto, (max-width: 1912px) 100vw, 1912px" /><figcaption id="caption-attachment-7246" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 06</figcaption></figure>
<figure id="attachment_7247" aria-describedby="caption-attachment-7247" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7247" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 07" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-07.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 07" width="1920" height="1452" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-07.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-07-300x227.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-07-1024x774.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-07-768x581.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-07-1536x1162.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-07-510x386.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-7247" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 07</figcaption></figure>
<figure id="attachment_7248" aria-describedby="caption-attachment-7248" style="width: 712px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class=" wp-image-7248" title="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 08" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-08.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 08" width="712" height="986" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-08.jpg 393w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat-08-217x300.jpg 217w" sizes="auto, (max-width: 712px) 100vw, 712px" /><figcaption id="caption-attachment-7248" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 tan goc them quat 08</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-16gb-hbm2-tan-goc-them-quat/">GPU AMD Radeon Instinct MI50 16GB HBM2 tản gốc thêm quạt</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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		<title>GPU AMD Radeon Instinct MI50 16GB HBM2 VS RTX 3060 3080</title>
		<link>https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080/</link>
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		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Mon, 25 Aug 2025 03:21:35 +0000</pubDate>
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					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a>Lưu ý, đây là card đã custom thay đổi quạt tản nhiệt, không phải bản gốc, đây là card AI, bản tản nhiệt gốc không có quạt, chỉ lắp được trong máy chủ có sẵn fan hệ thống. Card này đã custom lắp vào máy pc để bàn, flash bios của card radeon pro vii, chơi game và dùng AI đều đc</a><br />
<i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Tồn kho: Đặt hàng ,Thời gian đặt 10-15 ngày</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080/">GPU AMD Radeon Instinct MI50 16GB HBM2 VS RTX 3060 3080</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1><strong>GPU AMD Radeon Instinct MI50 16GB HBM2 VS RTX 3060 3080</strong></h1>
<h3><span style="font-size: 110%"><strong>Tình trạng:</strong></span></h3>
<ul>
<li>
<ul>
<li><span style="font-size: 110%"><strong>Đặt hàng ,Thời gian đặt 10-15 ngày</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
<li><span style="font-size: 110%"><strong>Bảo hành: 01 tháng (mặc định), 06 tháng, 12 tháng (tùy chọn)</strong></span></li>
</ul>
</li>
</ul>
<p>&nbsp;</p>
<h3><span style="font-size: 110%"><strong>Card đồ họa VGA GPU AMD Radeon Instinct MI50 16GB bộ nhớ HBM2 so sánh với RTX 3060 3080 (không phải card rrx 3060 3080)</strong></span></h3>
<p><span style="font-size: 110%"><strong>Lưu ý, đây là card đã custom thay đổi quạt tản nhiệt, không phải bản gốc, đây là card AI, bản tản nhiệt gốc không có quạt, chỉ lắp được trong máy chủ có sẵn fan hệ thống. Card này đã custom lắp vào máy pc để bàn, flash bios của card radeon pro vii, chơi game và dùng AI đều đc</strong></span></p>
<p><span style="font-size: 110%"><strong>1. BIOS được flash sẵn với khả năng hỗ trợ Windows cho Radeon PRO VII và 95% phần mềm chuyên nghiệp gốc của Radeon PRO VII.</strong></span></p>
<p><span style="font-size: 110%"><strong>2. Không cần chỉnh sửa trình điều khiển; cài đặt trực tiếp deivers từ trang web chính thức của AMD. Tìm theo model radeon pro vii, Hỗ trợ CrossFire kép GPU hoặc AI đa GPU song song. Xin lưu ý rằng cổng mini-DP trên card này không có âm thanh.</strong></span></p>
<p><span style="font-size: 110%"><strong>3. Ngõ ra hiển thị mini-DP đã được sửa đổi hỗ trợ độ phân giải cao 2K/4K và tần số quét cao. Sử dụng cáp dữ liệu chính hãng, chẳng hạn như UGREEN. Bo mạch chủ cần hỗ trợ video coding 4k</strong></span></p>
<p><span style="font-size: 110%"><strong>4. Sản phẩm có tính năng làm mát turbo chủ động với khả năng kiểm soát nhiệt độ tự động. Sản phẩm sử dụng bộ tản nhiệt mới và quạt kép ở mặt sau, cùng với luồng khí được thiết kế lại trên toàn bộ card, giúp giữ nhiệt độ lõi ở mức khoảng 65°C, tạo nhiều không gian cho việc ép xung nhẹ. Card đồ họa này chỉ có một cổng mini-port, yêu cầu người mua phải tự mang theo cáp xuất video, vì vậy hãy đặt hàng cẩn thận sau khi xác nhận màn hình của bạn! Nếu màn hình có cổng khác thì cầb mua thêm cáp chuyển đổi sang HDMI, VGA, DP, DVI &#8230;.vv</strong></span></p>
<p><span style="font-size: 110%"><strong>5. Card sở hữu hiệu năng double-precision đầy đủ và có thể được sử dụng trực tiếp như Radeon Pro VII. Sức mạnh tính toán của nó rất mạnh mẽ, với hiệu năng học sâu tương đương với 3080 và hiệu năng chơi game nằm giữa RTX 3060 và 3060 Ti. Nó hỗ trợ Hackintosh, biến nó thành một công cụ dựng hình mạnh mẽ cho hiệu suất tối đa trên các hệ thống Hackintosh.</strong></span></p>
<p><span style="font-size: 110%"><strong>6. Card đồ họa này là một sản phẩm đã qua sử dụng, đã được tháo rời. Chúng tôi đã lắp đặt một quạt turbo màu đỏ tích hợp để làm mát! Tình trạng của card còn 90%, mặc dù có thể có một số vết gỉ sét. Xin hãy lưu ý và đặt hàng cẩn thận!</strong></span></p>
<p><span style="font-size: 110%"><strong>7. Nếu bạn quan tâm, vui lòng đặt hàng trực tiếp. Vui lòng chỉ đặt hàng nếu bạn thấy phù hợp. Xin cảm ơn!</strong></span></p>
<p><span style="font-size: 110%"><strong>Nguồn điện của card là 300w vì vậy Nguồn điện của máy tính phải có công suất thực từ ​​500W trở lên, vì vậy vui lòng cân nhắc khi đặt hàng!</strong></span></p>
<h2><strong>Hình ảnh tham khảo :</strong></h2>
<figure id="attachment_7228" aria-describedby="caption-attachment-7228" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7228" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 01" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-01.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 01" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-01.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-01-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-01-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-01-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-01-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-01-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-7228" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 01</figcaption></figure>
<figure id="attachment_7229" aria-describedby="caption-attachment-7229" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7229" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 02" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-02.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 02" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-02.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-02-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-02-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-02-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-02-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-02-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-7229" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 02</figcaption></figure>
<figure id="attachment_7230" aria-describedby="caption-attachment-7230" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7230" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 03" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-03.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 03" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-03.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-03-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-03-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-03-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-03-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-03-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-7230" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 03</figcaption></figure>
<figure id="attachment_7231" aria-describedby="caption-attachment-7231" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7231" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 04" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-04.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 04" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-04.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-04-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-04-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-04-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-04-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-04-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-7231" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 04</figcaption></figure>
<figure id="attachment_7232" aria-describedby="caption-attachment-7232" style="width: 720px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7232" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 05" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-05.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 05" width="720" height="1280" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-05.jpg 720w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-05-169x300.jpg 169w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-05-576x1024.jpg 576w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-05-510x907.jpg 510w" sizes="auto, (max-width: 720px) 100vw, 720px" /><figcaption id="caption-attachment-7232" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 05</figcaption></figure>
<figure id="attachment_7233" aria-describedby="caption-attachment-7233" style="width: 790px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7233" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 06" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-06.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 06" width="790" height="597" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-06.jpg 790w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-06-300x227.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-06-768x580.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-06-510x385.jpg 510w" sizes="auto, (max-width: 790px) 100vw, 790px" /><figcaption id="caption-attachment-7233" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 06</figcaption></figure>
<figure id="attachment_7234" aria-describedby="caption-attachment-7234" style="width: 790px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7234" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 07" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-07.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 07" width="790" height="445" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-07.jpg 790w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-07-300x169.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-07-768x433.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-07-510x287.jpg 510w" sizes="auto, (max-width: 790px) 100vw, 790px" /><figcaption id="caption-attachment-7234" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 07</figcaption></figure>
<figure id="attachment_7235" aria-describedby="caption-attachment-7235" style="width: 393px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-7235" title="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 08" src="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-08.jpg" alt="gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 08" width="393" height="544" srcset="https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-08.jpg 393w, https://maychuzin.com/wp-content/uploads/2025/08/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080-08-217x300.jpg 217w" sizes="auto, (max-width: 393px) 100vw, 393px" /><figcaption id="caption-attachment-7235" class="wp-caption-text">gpu amd radeon instinct mi50 16gb hbm2 vs rtx 3060 3080 08</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/gpu-amd-radeon-instinct-mi50-16gb-hbm2-vs-rtx-3060-3080/">GPU AMD Radeon Instinct MI50 16GB HBM2 VS RTX 3060 3080</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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		<title>Card GPU NVIDIA Tesla V100 32GB CoWoS HBM2 sxm2 pci-e</title>
		<link>https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e/</link>
					<comments>https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e/#respond</comments>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Mon, 28 Jul 2025 05:05:20 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=6778</guid>

					<description><![CDATA[<p><a>Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Hàng đặt (giao sau 10-15 ngày)</a><br />
<i class="fa fa-check-circle green"> </i><a> GPU Memory: 960 GB/s</a><br />
<i class="fa fa-check-circle green"> </i><a> Memory Bandwidth: 900 GB/s</a><br />
<i class="fa fa-check-circle green"> </i><a> Tensor Cores: 640</a><br />
<i class="fa fa-check-circle green"> </i><a> CUDA Cores: 5,120</a><br />
<i class="fa fa-check-circle green"> </i><a> System Interface: PCI Express 3.0</a><br />
<i class="fa fa-check-circle green"> </i><a> Power Consumption: 250W</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e/">Card GPU NVIDIA Tesla V100 32GB CoWoS HBM2 sxm2 pci-e</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2><strong>Card GPU NVIDIA Tesla V100 32GB CoWoS HBM2 sxm2 pci-e</strong></h2>
<h2><strong>Tình trạng:</strong><i class="fa fa-check-circle green"></i></h2>
<ul>
<li style="list-style-type: none">
<ul>
<li><span style="font-size: 110%"><strong>Tồn kho: Hàng có sẵn</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng, tháo máy server</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
<li><span style="font-size: 110%"><strong>Bảo hành: 01 tháng (mặc định), 06 tháng, 12 tháng (tùy chọn)</strong></span></li>
</ul>
</li>
</ul>
<h2>Lưu ý:  Đây là dòng card tùy biến, Card gốc là loại V100 chính hãng NVIDIA chuẩn giao tiếp SXM2, card tùy biến dùng thẻ chuyển đổi giao diện SXM2 thành giao diện PCI-E phổ biến lắp được trên tất cả các dòng bo mạch chủ có khe pci-e 16x</h2>
<h2>Card đã tùy biến sửa tản nhiệt và quạt, (card gốc tản nhiệt to, không có quạt, sử dụng tản nhiệt của server)</h2>
<h2>Âm thanh quạt khá lớn và ồn, nếu lắp trong PC cá nhân muốn êm hơn thì lựa chọn dòng card có quạt tùy chỉnh loại lớn, quạt êm hơn</h2>
<p>&nbsp;</p>
<h2 data-start="229" data-end="256"><span style="font-size: 110%"><strong>Thông số kỹ thuật chính</strong></span></h2>
<p data-start="258" data-end="370"><span style="font-size: 110%"><strong>Dựa trên các nguồn dữ liệu đáng tin cậy, đây là những thông tin nổi bật nhất về NVIDIA Tesla V100 32GB SXM2:</strong></span></p>
<h3 data-start="372" data-end="398"><span style="font-size: 110%"><strong>Kiến trúc &amp; Hiệu năng</strong></span></h3>
<ul data-start="399" data-end="758">
<li data-start="399" data-end="616">
<p data-start="401" data-end="434"><span style="font-size: 110%"><strong>Kiến trúc GPU: NVIDIA Volta</strong></span></p>
<ul data-start="437" data-end="616">
<li data-start="437" data-end="616">
<p data-start="439" data-end="616"><span style="font-size: 110%"><strong>Cung cấp hiệu năng lên đến 112–125 TFLOPS trong xử lý AI (Tăng tốc qua Tensor Cores) và 14–15.7 TFLOPS FP32, 7–7.8 TFLOPS FP64 </strong></span></p>
</li>
</ul>
</li>
<li data-start="617" data-end="758">
<p data-start="619" data-end="758"><span style="font-size: 110%"><strong>Tensor Cores: Tối ưu cho deep learning, cho phép gia tăng tốc độ huấn luyện và inference đáng kể </strong></span></p>
</li>
</ul>
<h3 data-start="760" data-end="784"><span style="font-size: 110%"><strong>Bộ nhớ &amp; Băng thông</strong></span></h3>
<ul data-start="785" data-end="993">
<li data-start="785" data-end="873">
<p data-start="787" data-end="873"><span style="font-size: 110%"><strong>Dung lượng: 32 GB HBM2 (có phiên bản 16 GB) </strong></span></p>
</li>
<li data-start="874" data-end="919">
<p data-start="876" data-end="919"><span style="font-size: 110%"><strong>Công nghệ đóng gói: CoWoS Stacked HBM2.</strong></span></p>
</li>
<li data-start="920" data-end="993">
<p data-start="922" data-end="993"><span style="font-size: 110%"><strong>Băng thông bộ nhớ: ~900 GB/s </strong></span></p>
</li>
</ul>
<h3 data-start="995" data-end="1013"><span style="font-size: 110%"><strong>Kết nối &amp; Bus</strong></span></h3>
<ul data-start="1014" data-end="1286">
<li data-start="1014" data-end="1142">
<p data-start="1016" data-end="1142"><span style="font-size: 110%"><strong>PCIe (SXM2 với adapter PCIe): hỗ trợ bus PCIe 3.0 ×16, cung cấp băng thông ~32 GB/s </strong></span></p>
</li>
<li data-start="1143" data-end="1286">
<p data-start="1145" data-end="1286"><span style="font-size: 110%"><strong>Khi sử dụng NVLink (trong cấu hình SXM2 kết hợp): băng thông kết nối giữa các GPU lên tới 300 GB/s </strong></span></p>
</li>
</ul>
<h3 data-start="1288" data-end="1315"><span style="font-size: 110%"><strong>Công suất &amp; Kích thước</strong></span></h3>
<ul data-start="1316" data-end="1635">
<li data-start="1316" data-end="1389">
<p data-start="1318" data-end="1389"><span style="font-size: 110%"><strong>TDP tối đa: khoảng 300 W </strong></span></p>
</li>
<li data-start="1390" data-end="1635">
<p data-start="1392" data-end="1635"><span style="font-size: 110%"><strong>Định dạng: SXM2 – dạng module kết nối trực tiếp qua socket mà không cần đầu cắm nguồn hoặc khe PCIe truyền thống. Yêu cầu bo mạch chủ có hỗ trợ chuẩn này (như server DGX, HGX, hoặc PowerEdge C4140&#8230;) </strong></span></p>
</li>
</ul>
<hr data-start="1637" data-end="1640" />
<h3 data-start="1642" data-end="1661"><span style="font-size: 110%"><strong>Tóm tắt nhanh:</strong></span></h3>
<div class="_tableContainer_1rjym_1">
<div class="_tableWrapper_1rjym_13 group flex w-fit flex-col-reverse">
<table class="w-fit min-w-(--thread-content-width)" style="height: 273px" width="1159" data-start="1663" data-end="2380">
<thead data-start="1663" data-end="1742">
<tr data-start="1663" data-end="1742">
<th data-start="1663" data-end="1684" data-col-size="sm"><span style="font-size: 110%"><strong>Thuộc tính</strong></span></th>
<th data-start="1684" data-end="1742" data-col-size="md"><span style="font-size: 110%"><strong>Thông số kỹ thuật</strong></span></th>
</tr>
</thead>
<tbody data-start="1822" data-end="2380">
<tr data-start="1822" data-end="1899">
<td data-start="1822" data-end="1842" data-col-size="sm"><span style="font-size: 110%"><strong>GPU</strong></span></td>
<td data-start="1842" data-end="1899" data-col-size="md"><span style="font-size: 110%"><strong>NVIDIA Volta (Tesla V100, 5120 CUDA cores)</strong></span></td>
</tr>
<tr data-start="1900" data-end="1984">
<td data-start="1900" data-end="1920" data-col-size="sm"><span style="font-size: 110%"><strong>Hiệu năng</strong></span></td>
<td data-start="1920" data-end="1984" data-col-size="md"><span style="font-size: 110%"><strong>FP32 ~14–15.7 TFLOPS, FP64 ~7–7.8 TFLOPS, DL ~112–125 TFLOPS</strong></span></td>
</tr>
<tr data-start="1985" data-end="2063">
<td data-start="1985" data-end="2005" data-col-size="sm"><span style="font-size: 110%"><strong>Bộ nhớ</strong></span></td>
<td data-col-size="md" data-start="2005" data-end="2063"><span style="font-size: 110%"><strong>32 GB HBM2, băng thông ~900 GB/s</strong></span></td>
</tr>
<tr data-start="2064" data-end="2143">
<td data-start="2064" data-end="2085" data-col-size="sm"><span style="font-size: 110%"><strong>Kết nối nội bộ</strong></span></td>
<td data-col-size="md" data-start="2085" data-end="2143"><span style="font-size: 110%"><strong>PCIe 3.0 ×16 (~32 GB/s) / NVLink (~300 GB/s)</strong></span></td>
</tr>
<tr data-start="2144" data-end="2221">
<td data-start="2144" data-end="2164" data-col-size="sm"><span style="font-size: 110%"><strong>TDP</strong></span></td>
<td data-start="2164" data-end="2221" data-col-size="md"><span style="font-size: 110%"><strong>~300 W</strong></span></td>
</tr>
<tr data-start="2222" data-end="2300">
<td data-start="2222" data-end="2242" data-col-size="sm"><span style="font-size: 110%"><strong>Form Factor</strong></span></td>
<td data-start="2242" data-end="2300" data-col-size="md"><span style="font-size: 110%"><strong>SXM2 module</strong></span></td>
</tr>
<tr data-start="2301" data-end="2380">
<td data-start="2301" data-end="2322" data-col-size="sm"><span style="font-size: 110%"><strong>Ứng dụng</strong></span></td>
<td data-start="2322" data-end="2380" data-col-size="md"><span style="font-size: 110%"><strong>HPC, Deep Learning, AI training/inference</strong></span></td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="_tableContainer_1rjym_1"></div>
<h2><strong>Hình ảnh tham khảo :</strong></h2>
<figure id="attachment_6809" aria-describedby="caption-attachment-6809" style="width: 1024px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6809" title="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 01" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-01-1.jpg" alt="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 01" width="1024" height="1024" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-01-1.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-01-1-300x300.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-01-1-150x150.jpg 150w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-01-1-768x768.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-01-1-510x510.jpg 510w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-01-1-100x100.jpg 100w" sizes="auto, (max-width: 1024px) 100vw, 1024px" /><figcaption id="caption-attachment-6809" class="wp-caption-text">card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 01</figcaption></figure>
<figure id="attachment_6810" aria-describedby="caption-attachment-6810" style="width: 1152px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6810" title="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 02" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-02-1.jpg" alt="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 02" width="1152" height="864" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-02-1.jpg 1152w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-02-1-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-02-1-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-02-1-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-02-1-510x383.jpg 510w" sizes="auto, (max-width: 1152px) 100vw, 1152px" /><figcaption id="caption-attachment-6810" class="wp-caption-text">card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 02</figcaption></figure>
<figure id="attachment_6811" aria-describedby="caption-attachment-6811" style="width: 1152px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6811" title="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 03" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-03-1.jpg" alt="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 03" width="1152" height="864" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-03-1.jpg 1152w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-03-1-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-03-1-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-03-1-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-03-1-510x383.jpg 510w" sizes="auto, (max-width: 1152px) 100vw, 1152px" /><figcaption id="caption-attachment-6811" class="wp-caption-text">card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 03</figcaption></figure>
<figure id="attachment_6812" aria-describedby="caption-attachment-6812" style="width: 1440px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6812" title="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 04" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-04-1.jpg" alt="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 04" width="1440" height="1920" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-04-1.jpg 1440w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-04-1-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-04-1-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-04-1-1152x1536.jpg 1152w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-04-1-510x680.jpg 510w" sizes="auto, (max-width: 1440px) 100vw, 1440px" /><figcaption id="caption-attachment-6812" class="wp-caption-text">card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 04</figcaption></figure>
<figure id="attachment_6813" aria-describedby="caption-attachment-6813" style="width: 1080px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6813" title="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 05" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-05.jpg" alt="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 05" width="1080" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-05.jpg 1080w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-05-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-05-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-05-510x680.jpg 510w" sizes="auto, (max-width: 1080px) 100vw, 1080px" /><figcaption id="caption-attachment-6813" class="wp-caption-text">card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 05</figcaption></figure>
<figure id="attachment_6814" aria-describedby="caption-attachment-6814" style="width: 1440px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6814" title="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 06" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-06.jpg" alt="card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 06" width="1440" height="1080" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-06.jpg 1440w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-06-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-06-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-06-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e-06-510x383.jpg 510w" sizes="auto, (max-width: 1440px) 100vw, 1440px" /><figcaption id="caption-attachment-6814" class="wp-caption-text">card gpu nvidia tesla v100 32gb cowos hbm2 sxm2 pci e 06</figcaption></figure>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>&nbsp;</p>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-32gb-cowos-hbm2-sxm2-pci-e/">Card GPU NVIDIA Tesla V100 32GB CoWoS HBM2 sxm2 pci-e</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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		<title>Card GPU NVIDIA Tesla V100 16GB CoWoS HBM2 sxm2 pci-e</title>
		<link>https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e/</link>
					<comments>https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e/#respond</comments>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Mon, 28 Jul 2025 04:48:03 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=6770</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a>GPU Architecture: NVIDIA Pascal</a><br />
<i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Hàng đặt,Giao sau 10-15 ngày</a><br />
<i class="fa fa-check-circle green"> </i><a> Nhân GPU : Tesla V100</a><br />
<i class="fa fa-check-circle green"> </i><a> Số nhân Cuda : 5120</a><br />
<i class="fa fa-check-circle green"> </i><a> Số nhân Tensor : 640</a><br />
<i class="fa fa-check-circle green"> </i><a> Dung lượng VRAM : 16GB</a><br />
<i class="fa fa-check-circle green"> </i><a> Chuẩn bộ nhớ : HBM2</a><br />
<i class="fa fa-check-circle green"> </i><a> Công suất nguồn : 250W</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e/">Card GPU NVIDIA Tesla V100 16GB CoWoS HBM2 sxm2 pci-e</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2><strong>Card GPU NVIDIA Tesla V100 16GB CoWoS HBM2 sxm2 pci-e</strong></h2>
<h3><strong>Tình trạng:</strong><i class="fa fa-check-circle green"></i></h3>
<ul>
<li><span style="font-size: 110%"><strong>Hàng đặt,Giao sau 10-15 ngày</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng chính hãng, tháo máy server</strong></span></li>
<li><span style="font-size: 110%"><strong>Hàng đã qua sử dụng</strong></span></li>
<li><span style="font-size: 110%"><strong>Hình thức gần như mới 95%,</strong></span></li>
<li><span style="font-size: 110%"><strong>Nguyên bản, chưa sửa chữa</strong></span></li>
<li><span style="font-size: 110%"><strong>Bảo hành: 01 tháng (mặc định), 06 tháng, 12 tháng (tùy chọn)</strong></span></li>
</ul>
<h2>Lưu ý:  Đây là dòng card tùy biến, Card gốc là loại V100 chính hãng NVIDIA chuẩn giao tiếp SXM2, card tùy biến dùng thẻ chuyển đổi giao diện SXM2 thành giao diện PCI-E phổ biến lắp được trên tất cả các dòng bo mạch chủ có khe pci-e 16x</h2>
<h2>Card đã tùy biến sửa tản nhiệt và quạt, (card gốc tản nhiệt to, không có quạt, sử dụng tản nhiệt của server)</h2>
<h2>Âm thanh quạt khá lớn và ồn, nếu lắp trong PC cá nhân muốn êm hơn thì lựa chọn dòng card có quạt tùy chỉnh loại lớn, quạt êm hơn</h2>
<h2></h2>
<h3 data-start="1313" data-end="1329"><span style="font-size: 110%"><strong>Bảng tóm tắt</strong></span></h3>
<div class="_tableContainer_1rjym_1">
<div class="_tableWrapper_1rjym_13 group flex w-fit flex-col-reverse">
<table class="w-fit min-w-(--thread-content-width)" style="height: 395px" width="1183" data-start="1331" data-end="1834">
<thead data-start="1331" data-end="1363">
<tr data-start="1331" data-end="1363">
<th data-start="1331" data-end="1351" data-col-size="sm"><span style="font-size: 110%"><strong>Thuộc tính</strong></span></th>
<th data-start="1351" data-end="1363" data-col-size="sm"><span style="font-size: 110%"><strong>Thông số</strong></span></th>
</tr>
</thead>
<tbody data-start="1397" data-end="1834">
<tr data-start="1397" data-end="1433">
<td data-start="1397" data-end="1417" data-col-size="sm"><span style="font-size: 110%"><strong>GPU Architecture</strong></span></td>
<td data-col-size="sm" data-start="1417" data-end="1433"><span style="font-size: 110%"><strong>NVIDIA Volta</strong></span></td>
</tr>
<tr data-start="1434" data-end="1463">
<td data-start="1434" data-end="1454" data-col-size="sm"><span style="font-size: 110%"><strong>CUDA Cores</strong></span></td>
<td data-col-size="sm" data-start="1454" data-end="1463"><span style="font-size: 110%"><strong>5.120</strong></span></td>
</tr>
<tr data-start="1464" data-end="1491">
<td data-start="1464" data-end="1484" data-col-size="sm"><span style="font-size: 110%"><strong>Tensor Cores</strong></span></td>
<td data-col-size="sm" data-start="1484" data-end="1491"><span style="font-size: 110%"><strong>640</strong></span></td>
</tr>
<tr data-start="1492" data-end="1526">
<td data-start="1492" data-end="1512" data-col-size="sm"><span style="font-size: 110%"><strong>Bộ nhớ</strong></span></td>
<td data-col-size="sm" data-start="1512" data-end="1526"><span style="font-size: 110%"><strong>16 GB HBM2</strong></span></td>
</tr>
<tr data-start="1527" data-end="1560">
<td data-start="1527" data-end="1547" data-col-size="sm"><span style="font-size: 110%"><strong>Băng thông</strong></span></td>
<td data-start="1547" data-end="1560" data-col-size="sm"><span style="font-size: 110%"><strong>~900 GB/s</strong></span></td>
</tr>
<tr data-start="1561" data-end="1596">
<td data-start="1561" data-end="1581" data-col-size="sm"><span style="font-size: 110%"><strong>FP64 Performance</strong></span></td>
<td data-start="1581" data-end="1596" data-col-size="sm"><span style="font-size: 110%"><strong>~7,0 TFLOPS</strong></span></td>
</tr>
<tr data-start="1597" data-end="1631">
<td data-start="1597" data-end="1617" data-col-size="sm"><span style="font-size: 110%"><strong>FP32 Performance</strong></span></td>
<td data-start="1617" data-end="1631" data-col-size="sm"><span style="font-size: 110%"><strong>~14 TFLOPS</strong></span></td>
</tr>
<tr data-start="1632" data-end="1667">
<td data-start="1632" data-end="1652" data-col-size="sm"><span style="font-size: 110%"><strong>Tensor Performance</strong></span></td>
<td data-start="1652" data-end="1667" data-col-size="sm"><span style="font-size: 110%"><strong>~112 TFLOPS</strong></span></td>
</tr>
<tr data-start="1668" data-end="1713">
<td data-start="1668" data-end="1688" data-col-size="sm"><span style="font-size: 110%"><strong>Bus Interface</strong></span></td>
<td data-col-size="sm" data-start="1688" data-end="1713"><span style="font-size: 110%"><strong>PCIe 3.0 x16 + NVLink</strong></span></td>
</tr>
<tr data-start="1714" data-end="1747">
<td data-start="1714" data-end="1734" data-col-size="sm"><span style="font-size: 110%"><strong>NVLink Bandwidth</strong></span></td>
<td data-col-size="sm" data-start="1734" data-end="1747"><span style="font-size: 110%"><strong>~300 GB/s</strong></span></td>
</tr>
<tr data-start="1748" data-end="1798">
<td data-start="1748" data-end="1768" data-col-size="sm"><span style="font-size: 110%"><strong>TDP</strong></span></td>
<td data-start="1768" data-end="1798" data-col-size="sm"><span style="font-size: 110%"><strong>300 W (SXM2), 250 W (PCIe)</strong></span></td>
</tr>
<tr data-start="1799" data-end="1834">
<td data-start="1799" data-end="1819" data-col-size="sm"><span style="font-size: 110%"><strong>Form Factor</strong></span></td>
<td data-start="1819" data-end="1834" data-col-size="sm"><span style="font-size: 110%"><strong>SXM2 module</strong></span></td>
</tr>
</tbody>
</table>
</div>
</div>
<h2></h2>
<h2 data-start="148" data-end="176"><span style="font-size: 110%"><strong>1. Kiến trúc &amp; Nhân xử lý</strong></span></h2>
<ul data-start="177" data-end="403">
<li data-start="177" data-end="212">
<p data-start="179" data-end="212"><span style="font-size: 110%"><strong>Kiến trúc GPU: NVIDIA Volta</strong></span></p>
</li>
<li data-start="213" data-end="237">
<p data-start="215" data-end="237"><span style="font-size: 110%"><strong>Nhân CUDA: 5.120</strong></span></p>
</li>
<li data-start="238" data-end="295">
<p data-start="240" data-end="295"><span style="font-size: 110%"><strong>Tensor Cores: 640 (tối ưu cho AI / Deep Learning)</strong></span></p>
</li>
<li data-start="296" data-end="403">
<p data-start="298" data-end="314"><span style="font-size: 110%"><strong>Hiệu năng:</strong></span></p>
<ul data-start="317" data-end="403">
<li data-start="317" data-end="338">
<p data-start="319" data-end="338"><span style="font-size: 110%"><strong>FP64: ~7,0 TFLOPS</strong></span></p>
</li>
<li data-start="341" data-end="361">
<p data-start="343" data-end="361"><span style="font-size: 110%"><strong>FP32: ~14 TFLOPS</strong></span></p>
</li>
<li data-start="364" data-end="403">
<p data-start="366" data-end="403"><span style="font-size: 110%"><strong>Tensor (Deep Learning): ~112 TFLOPS</strong></span></p>
</li>
</ul>
</li>
</ul>
<hr data-start="405" data-end="408" />
<h2 data-start="410" data-end="422"><span style="font-size: 110%"><strong>2. Bộ nhớ</strong></span></h2>
<ul data-start="423" data-end="589">
<li data-start="423" data-end="453">
<p data-start="425" data-end="453"><span style="font-size: 110%"><strong>Dung lượng: 16 GB HBM2</strong></span></p>
</li>
<li data-start="454" data-end="490">
<p data-start="456" data-end="490"><span style="font-size: 110%"><strong>Băng thông bộ nhớ: ~900 GB/s</strong></span></p>
</li>
<li data-start="491" data-end="589">
<p data-start="493" data-end="589"><span style="font-size: 110%"><strong>Công nghệ đóng gói: CoWoS (Chip-on-Wafer-on-Substrate) giúp giảm độ trễ và tăng băng thông</strong></span></p>
</li>
</ul>
<hr data-start="591" data-end="594" />
<h2 data-start="596" data-end="615"><span style="font-size: 110%"><strong>3. Kết nối &amp; Bus</strong></span></h2>
<ul data-start="616" data-end="891">
<li data-start="616" data-end="665">
<p data-start="618" data-end="665"><span style="font-size: 110%"><strong>Chuẩn bus: PCI Express 3.0 x16 (~32 GB/s)</strong></span></p>
</li>
<li data-start="666" data-end="770">
<p data-start="668" data-end="770"><span style="font-size: 110%"><strong>Kết nối liên GPU: NVLink 2.0, băng thông tối đa 300 GB/s (trong hệ thống hỗ trợ SXM2/NVLink)</strong></span></p>
</li>
<li data-start="771" data-end="891">
<p data-start="773" data-end="891"><span style="font-size: 110%"><strong>Giao diện vật lý: Module SXM2 (cần server hoặc mainboard hỗ trợ socket SXM2; có thể dùng board chuyển sang PCIe)</strong></span></p>
</li>
</ul>
<hr data-start="893" data-end="896" />
<h2 data-start="898" data-end="925"><span style="font-size: 110%"><strong>4. Điện năng &amp; Tản nhiệt</strong></span></h2>
<ul data-start="926" data-end="1052">
<li data-start="926" data-end="975">
<p data-start="928" data-end="975"><span style="font-size: 110%"><strong>TDP: ~300 W (SXM2) hoặc ~250 W (bản PCIe)</strong></span></p>
</li>
<li data-start="976" data-end="1052">
<p data-start="978" data-end="1052"><span style="font-size: 110%"><strong>Tản nhiệt: Sử dụng hệ thống làm mát của server hoặc giải pháp custom</strong></span></p>
</li>
</ul>
<hr data-start="1054" data-end="1057" />
<h2 data-start="1059" data-end="1086"><span style="font-size: 110%"><strong>5. Kích thước &amp; Ứng dụng</strong></span></h2>
<ul data-start="1087" data-end="1306">
<li data-start="1087" data-end="1150">
<p data-start="1089" data-end="1150"><span style="font-size: 110%"><strong>Form factor: SXM2 module (không gắn thẳng vào khe PCIe)</strong></span></p>
</li>
<li data-start="1151" data-end="1306">
<p data-start="1153" data-end="1174"><span style="font-size: 110%"><strong>Ứng dụng chính:</strong></span></p>
<ul data-start="1177" data-end="1306">
<li data-start="1177" data-end="1213">
<p data-start="1179" data-end="1213"><span style="font-size: 110%"><strong>High Performance Computing (HPC)</strong></span></p>
</li>
<li data-start="1216" data-end="1260">
<p data-start="1218" data-end="1260"><span style="font-size: 110%"><strong>Huấn luyện &amp; suy luận AI / Deep Learning</strong></span></p>
</li>
<li data-start="1263" data-end="1306">
<p data-start="1265" data-end="1306"><span style="font-size: 110%"><strong>Xử lý dữ liệu khoa học, mô phỏng vật lý</strong></span></p>
</li>
</ul>
</li>
</ul>
<hr data-start="1308" data-end="1311" />
<h3 data-start="1313" data-end="1329"></h3>
<h2><strong>Hình ảnh tham khảo : </strong></h2>
<p>&nbsp;</p>
<p>&nbsp;</p>
<figure id="attachment_6802" aria-describedby="caption-attachment-6802" style="width: 720px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6802" title="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 01" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-01-1.jpg" alt="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 01" width="720" height="1280" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-01-1.jpg 720w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-01-1-169x300.jpg 169w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-01-1-576x1024.jpg 576w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-01-1-510x907.jpg 510w" sizes="auto, (max-width: 720px) 100vw, 720px" /><figcaption id="caption-attachment-6802" class="wp-caption-text">card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 01</figcaption></figure>
<figure id="attachment_6803" aria-describedby="caption-attachment-6803" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6803" title="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 02" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1.jpg" alt="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 02" width="1920" height="1920" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1-300x300.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1-1024x1024.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1-150x150.jpg 150w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1-768x768.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1-1536x1536.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1-510x510.jpg 510w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-02-1-100x100.jpg 100w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-6803" class="wp-caption-text">card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 02</figcaption></figure>
<figure id="attachment_6804" aria-describedby="caption-attachment-6804" style="width: 1080px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6804" title="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 03" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-03-1.jpg" alt="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 03" width="1080" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-03-1.jpg 1080w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-03-1-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-03-1-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-03-1-510x680.jpg 510w" sizes="auto, (max-width: 1080px) 100vw, 1080px" /><figcaption id="caption-attachment-6804" class="wp-caption-text">card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 03</figcaption></figure>
<figure id="attachment_6805" aria-describedby="caption-attachment-6805" style="width: 1080px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6805" title="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 04" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-04.jpg" alt="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 04" width="1080" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-04.jpg 1080w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-04-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-04-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-04-510x680.jpg 510w" sizes="auto, (max-width: 1080px) 100vw, 1080px" /><figcaption id="caption-attachment-6805" class="wp-caption-text">card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 04</figcaption></figure>
<figure id="attachment_6806" aria-describedby="caption-attachment-6806" style="width: 1440px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6806" title="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 05" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-05.jpg" alt="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 05" width="1440" height="1920" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-05.jpg 1440w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-05-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-05-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-05-1152x1536.jpg 1152w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-05-510x680.jpg 510w" sizes="auto, (max-width: 1440px) 100vw, 1440px" /><figcaption id="caption-attachment-6806" class="wp-caption-text">card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 05</figcaption></figure>
<figure id="attachment_6807" aria-describedby="caption-attachment-6807" style="width: 1080px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6807" title="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 06" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-06.jpg" alt="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 06" width="1080" height="1920" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-06.jpg 1080w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-06-169x300.jpg 169w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-06-576x1024.jpg 576w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-06-768x1365.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-06-864x1536.jpg 864w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-06-510x907.jpg 510w" sizes="auto, (max-width: 1080px) 100vw, 1080px" /><figcaption id="caption-attachment-6807" class="wp-caption-text">card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 06</figcaption></figure>
<figure id="attachment_6808" aria-describedby="caption-attachment-6808" style="width: 1080px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6808" title="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 07" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-07.jpg" alt="card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 07" width="1080" height="1920" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-07.jpg 1080w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-07-169x300.jpg 169w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-07-576x1024.jpg 576w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-07-768x1365.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-07-864x1536.jpg 864w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e-07-510x907.jpg 510w" sizes="auto, (max-width: 1080px) 100vw, 1080px" /><figcaption id="caption-attachment-6808" class="wp-caption-text">card gpu nvidia tesla v100 16gb cowos hbm2 sxm2 pci e 07</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-v100-16gb-cowos-hbm2-sxm2-pci-e/">Card GPU NVIDIA Tesla V100 16GB CoWoS HBM2 sxm2 pci-e</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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		<title>Card GPU NVIDIA Tesla P100 16GB CoWoS HBM2</title>
		<link>https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2/</link>
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		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Mon, 28 Jul 2025 03:53:37 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=6762</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a>Kiến trúc GPU: NVIDIA Pascal</a><br />
<i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Hàng đặt,Giao sau 10-15 ngày</a><br />
<i class="fa fa-check-circle green"> </i><a> NVIDIA CUDA Core: 3584</a><br />
<i class="fa fa-check-circle green"> </i><a> Bộ nhớ GPU: 16 GB CoWoS HBM2 ở tốc độ 732 GB / giây hoặc 12 GB CoWoS HBM2 ở tốc độ 549 GB / giây</a><br />
<i class="fa fa-check-circle green"> </i><a> Giao diện hệ thống: PCIe Gen3</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2/">Card GPU NVIDIA Tesla P100 16GB CoWoS HBM2</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2><strong>Card GPU NVIDIA Tesla P100 16GB CoWoS HBM2</strong></h2>
<h3><strong>Tình trạng:</strong><i class="fa fa-check-circle green"></i></h3>
<ul>
<li style="list-style-type: none">
<ul>
<li><strong>Hàng đặt,Giao sau 10-15 ngày</strong></li>
<li><strong>Hàng chính hãng, tháo máy server</strong></li>
<li><strong>Hàng đã qua sử dụng</strong></li>
<li><strong>Hình thức gần như mới 95%,</strong></li>
<li><strong>Nguyên bản, chưa sửa chữa</strong></li>
</ul>
</li>
</ul>
<ul>
<li style="list-style-type: none"></li>
</ul>
<h3 data-start="1239" data-end="1255"><span style="font-size: 110%"><strong>Bảng tóm tắt</strong></span></h3>
<div class="_tableContainer_1rjym_1">
<div class="_tableWrapper_1rjym_13 group flex w-fit flex-col-reverse">
<table class="w-fit min-w-(--thread-content-width)" style="height: 393px" width="1119" data-start="1257" data-end="1757">
<thead data-start="1257" data-end="1289">
<tr data-start="1257" data-end="1289">
<th data-start="1257" data-end="1277" data-col-size="sm"><span style="font-size: 110%"><strong>Thuộc tính</strong></span></th>
<th data-start="1277" data-end="1289" data-col-size="sm"><span style="font-size: 110%"><strong>Thông số</strong></span></th>
</tr>
</thead>
<tbody data-start="1323" data-end="1757">
<tr data-start="1323" data-end="1360">
<td data-start="1323" data-end="1343" data-col-size="sm"><span style="font-size: 110%"><strong>GPU Architecture</strong></span></td>
<td data-col-size="sm" data-start="1343" data-end="1360"><span style="font-size: 110%"><strong>NVIDIA Pascal</strong></span></td>
</tr>
<tr data-start="1361" data-end="1390">
<td data-start="1361" data-end="1381" data-col-size="sm"><span style="font-size: 110%"><strong>CUDA Cores</strong></span></td>
<td data-start="1381" data-end="1390" data-col-size="sm"><span style="font-size: 110%"><strong>3.584</strong></span></td>
</tr>
<tr data-start="1391" data-end="1425">
<td data-start="1391" data-end="1411" data-col-size="sm"><span style="font-size: 110%"><strong>Bộ nhớ</strong></span></td>
<td data-col-size="sm" data-start="1411" data-end="1425"><span style="font-size: 110%"><strong>16 GB HBM2</strong></span></td>
</tr>
<tr data-start="1426" data-end="1459">
<td data-start="1426" data-end="1446" data-col-size="sm"><span style="font-size: 110%"><strong>Băng thông</strong></span></td>
<td data-col-size="sm" data-start="1446" data-end="1459"><span style="font-size: 110%"><strong>~720 GB/s</strong></span></td>
</tr>
<tr data-start="1460" data-end="1495">
<td data-start="1460" data-end="1480" data-col-size="sm"><span style="font-size: 110%"><strong>FP64 Performance</strong></span></td>
<td data-start="1480" data-end="1495" data-col-size="sm"><span style="font-size: 110%"><strong>~4,7 TFLOPS</strong></span></td>
</tr>
<tr data-start="1496" data-end="1531">
<td data-start="1496" data-end="1516" data-col-size="sm"><span style="font-size: 110%"><strong>FP32 Performance</strong></span></td>
<td data-col-size="sm" data-start="1516" data-end="1531"><span style="font-size: 110%"><strong>~9,3 TFLOPS</strong></span></td>
</tr>
<tr data-start="1532" data-end="1568">
<td data-start="1532" data-end="1552" data-col-size="sm"><span style="font-size: 110%"><strong>FP16 Performance</strong></span></td>
<td data-col-size="sm" data-start="1552" data-end="1568"><span style="font-size: 110%"><strong>~18,7 TFLOPS</strong></span></td>
</tr>
<tr data-start="1569" data-end="1624">
<td data-start="1569" data-end="1589" data-col-size="sm"><span style="font-size: 110%"><strong>Bus Interface</strong></span></td>
<td data-col-size="sm" data-start="1589" data-end="1624"><span style="font-size: 110%"><strong>PCIe 3.0 x16 hoặc NVLink (SXM2)</strong></span></td>
</tr>
<tr data-start="1625" data-end="1658">
<td data-start="1625" data-end="1645" data-col-size="sm"><span style="font-size: 110%"><strong>NVLink Bandwidth</strong></span></td>
<td data-start="1645" data-end="1658" data-col-size="sm"><span style="font-size: 110%"><strong>~160 GB/s</strong></span></td>
</tr>
<tr data-start="1659" data-end="1709">
<td data-start="1659" data-end="1679" data-col-size="sm"><span style="font-size: 110%"><strong>TDP</strong></span></td>
<td data-start="1679" data-end="1709" data-col-size="sm"><span style="font-size: 110%"><strong>300 W (SXM2), 250 W (PCIe)</strong></span></td>
</tr>
<tr data-start="1710" data-end="1757">
<td data-start="1710" data-end="1730" data-col-size="sm"><span style="font-size: 110%"><strong>Form Factor</strong></span></td>
<td data-col-size="sm" data-start="1730" data-end="1757"><span style="font-size: 110%"><strong>SXM2 module / PCIe card</strong></span></td>
</tr>
</tbody>
</table>
</div>
</div>
<h2 data-start="153" data-end="181"><span style="font-size: 110%"><strong>1. Kiến trúc &amp; Nhân xử lý</strong></span></h2>
<ul data-start="182" data-end="343">
<li data-start="182" data-end="226">
<p data-start="184" data-end="226"><span style="font-size: 110%"><strong>Kiến trúc GPU: NVIDIA Pascal (GP100)</strong></span></p>
</li>
<li data-start="227" data-end="251">
<p data-start="229" data-end="251"><span style="font-size: 110%"><strong>Nhân CUDA: 3.584</strong></span></p>
</li>
<li data-start="252" data-end="343">
<p data-start="254" data-end="270"><span style="font-size: 110%"><strong>Hiệu năng:</strong></span></p>
<ul data-start="273" data-end="343">
<li data-start="273" data-end="294">
<p data-start="275" data-end="294"><span style="font-size: 110%"><strong>FP64: ~4,7 TFLOPS</strong></span></p>
</li>
<li data-start="297" data-end="318">
<p data-start="299" data-end="318"><span style="font-size: 110%"><strong>FP32: ~9,3 TFLOPS</strong></span></p>
</li>
<li data-start="321" data-end="343">
<p data-start="323" data-end="343"><span style="font-size: 110%"><strong>FP16: ~18,7 TFLOPS</strong></span></p>
</li>
</ul>
</li>
</ul>
<hr data-start="345" data-end="348" />
<h2 data-start="350" data-end="362"><span style="font-size: 110%"><strong>2. Bộ nhớ</strong></span></h2>
<ul data-start="363" data-end="527">
<li data-start="363" data-end="393">
<p data-start="365" data-end="393"><span style="font-size: 110%"><strong>Dung lượng: 16 GB HBM2</strong></span></p>
</li>
<li data-start="394" data-end="430">
<p data-start="396" data-end="430"><span style="font-size: 110%"><strong>Băng thông bộ nhớ: ~720 GB/s</strong></span></p>
</li>
<li data-start="431" data-end="527">
<p data-start="433" data-end="527"><span style="font-size: 110%"><strong>Công nghệ đóng gói: CoWoS (Chip-on-Wafer-on-Substrate) giúp giảm độ trễ, tăng băng thông</strong></span></p>
</li>
</ul>
<hr data-start="529" data-end="532" />
<h2 data-start="534" data-end="553"><span style="font-size: 110%"><strong>3. Kết nối &amp; Bus</strong></span></h2>
<ul data-start="554" data-end="844">
<li data-start="554" data-end="708">
<p data-start="556" data-end="572"><span style="font-size: 110%"><strong>Chuẩn bus:</strong></span></p>
<ul data-start="575" data-end="708">
<li data-start="575" data-end="651">
<p data-start="577" data-end="651"><span style="font-size: 110%"><strong>Phiên bản SXM2: hỗ trợ NVLink 1.0, băng thông ~160 GB/s liên GPU</strong></span></p>
</li>
<li data-start="654" data-end="708">
<p data-start="656" data-end="708"><span style="font-size: 110%"><strong>Phiên bản PCIe: PCI Express 3.0 x16 (~32 GB/s)</strong></span></p>
</li>
</ul>
</li>
<li data-start="709" data-end="844">
<p data-start="711" data-end="734"><span style="font-size: 110%"><strong>Giao diện vật lý:</strong></span></p>
<ul data-start="737" data-end="844">
<li data-start="737" data-end="794">
<p data-start="739" data-end="794"><span style="font-size: 110%"><strong>SXM2 module (cần mainboard/server hỗ trợ socket SXM2)</strong></span></p>
</li>
<li data-start="797" data-end="844">
<p data-start="799" data-end="844"><span style="font-size: 110%"><strong>Hoặc dạng card PCIe full height (tùy model)</strong></span></p>
</li>
</ul>
</li>
</ul>
<hr data-start="846" data-end="849" />
<h2 data-start="851" data-end="878"><span style="font-size: 110%"><strong>4. Điện năng &amp; Tản nhiệt</strong></span></h2>
<ul data-start="879" data-end="996">
<li data-start="879" data-end="931">
<p data-start="881" data-end="891"><span style="font-size: 110%"><strong>TDP:</strong></span></p>
<ul data-start="894" data-end="931">
<li data-start="894" data-end="911">
<p data-start="896" data-end="911"><span style="font-size: 110%"><strong>~300 W (SXM2)</strong></span></p>
</li>
<li data-start="914" data-end="931">
<p data-start="916" data-end="931"><span style="font-size: 110%"><strong>~250 W (PCIe)</strong></span></p>
</li>
</ul>
</li>
<li data-start="932" data-end="996">
<p data-start="934" data-end="996"><span style="font-size: 110%"><strong>Tản nhiệt: sử dụng giải pháp làm mát của hệ thống server</strong></span></p>
</li>
</ul>
<hr data-start="998" data-end="1001" />
<h2 data-start="1003" data-end="1030"><span style="font-size: 110%"><strong>5. Kích thước &amp; Ứng dụng</strong></span></h2>
<ul data-start="1031" data-end="1232">
<li data-start="1031" data-end="1078">
<p data-start="1033" data-end="1078"><span style="font-size: 110%"><strong>Form factor: SXM2 module hoặc PCIe card</strong></span></p>
</li>
<li data-start="1079" data-end="1232">
<p data-start="1081" data-end="1102"><span style="font-size: 110%"><strong>Ứng dụng chính:</strong></span></p>
<ul data-start="1105" data-end="1232">
<li data-start="1105" data-end="1141">
<p data-start="1107" data-end="1141"><span style="font-size: 110%"><strong>HPC (High Performance Computing)</strong></span></p>
</li>
<li data-start="1144" data-end="1169">
<p data-start="1146" data-end="1169"><span style="font-size: 110%"><strong>AI / Machine Learning</strong></span></p>
</li>
<li data-start="1172" data-end="1204">
<p data-start="1174" data-end="1204"><span style="font-size: 110%"><strong>Mô phỏng khoa học &amp; kỹ thuật</strong></span></p>
</li>
<li data-start="1207" data-end="1232">
<p data-start="1209" data-end="1232"><span style="font-size: 110%"><strong>Phân tích dữ liệu lớn</strong></span></p>
</li>
</ul>
</li>
</ul>
<h3 data-start="1239" data-end="1255"></h3>
<h2><strong>Hình ảnh tham khảo :</strong></h2>
<figure id="attachment_6763" aria-describedby="caption-attachment-6763" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6763" title="card gpu nvidia tesla p100 16gb cowos hbm2 01" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-01.jpg" alt="card gpu nvidia tesla p100 16gb cowos hbm2 01" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-01.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-01-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-01-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-01-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-01-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-01-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-6763" class="wp-caption-text">card gpu nvidia tesla p100 16gb cowos hbm2 01</figcaption></figure>
<figure id="attachment_6764" aria-describedby="caption-attachment-6764" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6764" title="card gpu nvidia tesla p100 16gb cowos hbm2 02" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-02.jpg" alt="card gpu nvidia tesla p100 16gb cowos hbm2 02" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-02.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-02-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-02-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-02-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-02-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-02-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-6764" class="wp-caption-text">card gpu nvidia tesla p100 16gb cowos hbm2 02</figcaption></figure>
<figure id="attachment_6765" aria-describedby="caption-attachment-6765" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6765" title="card gpu nvidia tesla p100 16gb cowos hbm2 03" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-03.jpg" alt="card gpu nvidia tesla p100 16gb cowos hbm2 03" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-03.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-03-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-03-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-03-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-03-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-03-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-6765" class="wp-caption-text">card gpu nvidia tesla p100 16gb cowos hbm2 03</figcaption></figure>
<figure id="attachment_6766" aria-describedby="caption-attachment-6766" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6766" title="card gpu nvidia tesla p100 16gb cowos hbm2 04" src="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-04.jpg" alt="card gpu nvidia tesla p100 16gb cowos hbm2 04" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-04.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-04-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-04-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-04-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-04-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/07/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2-04-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-6766" class="wp-caption-text">card gpu nvidia tesla p100 16gb cowos hbm2 04</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-p100-16gb-cowos-hbm2/">Card GPU NVIDIA Tesla P100 16GB CoWoS HBM2</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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		<title>Card GPU NVIDIA Tesla P40 24GB GDDR5</title>
		<link>https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-p40-24gb-gddr5/</link>
					<comments>https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-p40-24gb-gddr5/#respond</comments>
		
		<dc:creator><![CDATA[quyquy]]></dc:creator>
		<pubDate>Mon, 28 Jul 2025 03:27:35 +0000</pubDate>
				<guid isPermaLink="false">https://maychuzin.com/?post_type=product&#038;p=6756</guid>

					<description><![CDATA[<p><i class="fa fa-check-circle green"> </i><a>Hãng sản xuất: NVIDIA</a><br />
<i class="fa fa-check-circle green"> </i><a> Tình trạng: Hàng chính hãng, đã qua sử dụng, mới 95%</a><br />
<i class="fa fa-check-circle green"> </i><a> Tồn kho: Hàng đặt,Giao sau 10-15 ngàyn</a><br />
<i class="fa fa-check-circle green"> </i><a> GPU Architecture: NVIDIA Pascal</a><br />
<i class="fa fa-check-circle green"> </i><a> GPU Memory: 24 GB</a><br />
<i class="fa fa-check-circle green"> </i><a> CUDA Cores: ‎3840</a><br />
<i class="fa fa-check-circle green"> </i><a> Interface: ‎PCIe 3.0 x16</a></p>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-p40-24gb-gddr5/">Card GPU NVIDIA Tesla P40 24GB GDDR5</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h2><strong>Card GPU NVIDIA Tesla P40 24GB GDDR5</strong></h2>
<h3><strong>Tình trạng:</strong><i class="fa fa-check-circle green"></i></h3>
<ul>
<li style="list-style-type: none">
<ul>
<li><strong>Hàng đặt,Giao sau 10-15 ngày</strong></li>
<li><strong>Hàng chính hãng, tháo máy server</strong></li>
<li><strong>Hàng đã qua sử dụng</strong></li>
<li><strong>Hình thức gần như mới 95%,</strong></li>
<li><strong>Nguyên bản, chưa sửa chữa</strong></li>
</ul>
</li>
</ul>
<h2><strong>Thông số kỹ thuật :</strong></h2>
<h3 data-start="1240" data-end="1256"><span style="font-size: 110%"><strong>Bảng tóm tắt</strong></span></h3>
<div class="_tableContainer_1rjym_1">
<div class="_tableWrapper_1rjym_13 group flex w-fit flex-col-reverse">
<table class="w-fit min-w-(--thread-content-width)" style="height: 403px" width="1248" data-start="1258" data-end="1740">
<thead data-start="1258" data-end="1290">
<tr data-start="1258" data-end="1290">
<th data-start="1258" data-end="1278" data-col-size="sm"><span style="font-size: 110%"><strong>Thuộc tính</strong></span></th>
<th data-start="1278" data-end="1290" data-col-size="sm"><span style="font-size: 110%"><strong>Thông số</strong></span></th>
</tr>
</thead>
<tbody data-start="1324" data-end="1740">
<tr data-start="1324" data-end="1361">
<td data-start="1324" data-end="1344" data-col-size="sm"><span style="font-size: 110%"><strong>GPU Architecture</strong></span></td>
<td data-col-size="sm" data-start="1344" data-end="1361"><span style="font-size: 110%"><strong>NVIDIA Pascal</strong></span></td>
</tr>
<tr data-start="1362" data-end="1391">
<td data-start="1362" data-end="1382" data-col-size="sm"><span style="font-size: 110%"><strong>CUDA Cores</strong></span></td>
<td data-start="1382" data-end="1391" data-col-size="sm"><span style="font-size: 110%"><strong>3.840</strong></span></td>
</tr>
<tr data-start="1392" data-end="1427">
<td data-start="1392" data-end="1412" data-col-size="sm"><span style="font-size: 110%"><strong>Bộ nhớ</strong></span></td>
<td data-col-size="sm" data-start="1412" data-end="1427"><span style="font-size: 110%"><strong>24 GB GDDR5</strong></span></td>
</tr>
<tr data-start="1428" data-end="1459">
<td data-start="1428" data-end="1448" data-col-size="sm"><span style="font-size: 110%"><strong>Bus bộ nhớ</strong></span></td>
<td data-start="1448" data-end="1459" data-col-size="sm"><span style="font-size: 110%"><strong>384-bit</strong></span></td>
</tr>
<tr data-start="1460" data-end="1493">
<td data-start="1460" data-end="1480" data-col-size="sm"><span style="font-size: 110%"><strong>Băng thông</strong></span></td>
<td data-start="1480" data-end="1493" data-col-size="sm"><span style="font-size: 110%"><strong>~346 GB/s</strong></span></td>
</tr>
<tr data-start="1494" data-end="1530">
<td data-start="1494" data-end="1514" data-col-size="sm"><span style="font-size: 110%"><strong>FP32 Performance</strong></span></td>
<td data-start="1514" data-end="1530" data-col-size="sm"><span style="font-size: 110%"><strong>~12,0 TFLOPS</strong></span></td>
</tr>
<tr data-start="1531" data-end="1567">
<td data-start="1531" data-end="1551" data-col-size="sm"><span style="font-size: 110%"><strong>FP16 Performance</strong></span></td>
<td data-col-size="sm" data-start="1551" data-end="1567"><span style="font-size: 110%"><strong>~24,0 TFLOPS</strong></span></td>
</tr>
<tr data-start="1568" data-end="1604">
<td data-start="1568" data-end="1588" data-col-size="sm"><span style="font-size: 110%"><strong>FP64 Performance</strong></span></td>
<td data-col-size="sm" data-start="1588" data-end="1604"><span style="font-size: 110%"><strong>~0,37 TFLOPS</strong></span></td>
</tr>
<tr data-start="1605" data-end="1641">
<td data-start="1605" data-end="1625" data-col-size="sm"><span style="font-size: 110%"><strong>Bus Interface</strong></span></td>
<td data-start="1625" data-end="1641" data-col-size="sm"><span style="font-size: 110%"><strong>PCIe 3.0 x16</strong></span></td>
</tr>
<tr data-start="1642" data-end="1671">
<td data-start="1642" data-end="1662" data-col-size="sm"><span style="font-size: 110%"><strong>NVLink</strong></span></td>
<td data-col-size="sm" data-start="1662" data-end="1671"><span style="font-size: 110%"><strong>Không</strong></span></td>
</tr>
<tr data-start="1672" data-end="1701">
<td data-start="1672" data-end="1692" data-col-size="sm"><span style="font-size: 110%"><strong>TDP</strong></span></td>
<td data-col-size="sm" data-start="1692" data-end="1701"><span style="font-size: 110%"><strong>250 W</strong></span></td>
</tr>
<tr data-start="1702" data-end="1740">
<td data-start="1702" data-end="1722" data-col-size="sm"><span style="font-size: 110%"><strong>Form Factor</strong></span></td>
<td data-start="1722" data-end="1740" data-col-size="sm"><span style="font-size: 110%"><strong>PCIe dual-slot</strong></span></td>
</tr>
</tbody>
</table>
</div>
</div>
<h2 data-start="147" data-end="175"><span style="font-size: 110%"><strong>1. Kiến trúc &amp; Nhân xử lý</strong></span></h2>
<ul data-start="176" data-end="455">
<li data-start="176" data-end="220">
<p data-start="178" data-end="220"><span style="font-size: 110%"><strong>Kiến trúc GPU: NVIDIA Pascal (GP102)</strong></span></p>
</li>
<li data-start="221" data-end="245">
<p data-start="223" data-end="245"><span style="font-size: 110%"><strong>Nhân CUDA: 3.840</strong></span></p>
</li>
<li data-start="246" data-end="455">
<p data-start="248" data-end="264"><span style="font-size: 110%"><strong>Hiệu năng:</strong></span></p>
<ul data-start="267" data-end="455">
<li data-start="267" data-end="289">
<p data-start="269" data-end="289"><span style="font-size: 110%"><strong>FP32: ~12,0 TFLOPS</strong></span></p>
</li>
<li data-start="292" data-end="363">
<p data-start="294" data-end="363"><span style="font-size: 110%"><strong>FP16: ~24,0 TFLOPS (có hỗ trợ tốc độ FP16 gấp đôi cho AI inference)</strong></span></p>
</li>
<li data-start="366" data-end="455">
<p data-start="368" data-end="455"><span style="font-size: 110%"><strong>FP64: hiệu năng thấp (chỉ ~1/32 FP32, vì P40 tối ưu cho AI inference, không phải HPC)</strong></span></p>
</li>
</ul>
</li>
</ul>
<hr data-start="457" data-end="460" />
<h2 data-start="462" data-end="474"><span style="font-size: 110%"><strong>2. Bộ nhớ</strong></span></h2>
<ul data-start="475" data-end="601">
<li data-start="475" data-end="506">
<p data-start="477" data-end="506"><span style="font-size: 110%"><strong>Dung lượng: 24 GB GDDR5</strong></span></p>
</li>
<li data-start="507" data-end="543">
<p data-start="509" data-end="543"><span style="font-size: 110%"><strong>Băng thông bộ nhớ: ~346 GB/s</strong></span></p>
</li>
<li data-start="544" data-end="571">
<p data-start="546" data-end="571"><span style="font-size: 110%"><strong>Bus bộ nhớ: 384-bit</strong></span></p>
</li>
<li data-start="572" data-end="601">
<p data-start="574" data-end="601"><span style="font-size: 110%"><strong>Tốc độ bộ nhớ: 9 Gbps</strong></span></p>
</li>
</ul>
<hr data-start="603" data-end="606" />
<h2 data-start="608" data-end="627"><span style="font-size: 110%"><strong>3. Kết nối &amp; Bus</strong></span></h2>
<ul data-start="628" data-end="785">
<li data-start="628" data-end="677">
<p data-start="630" data-end="677"><span style="font-size: 110%"><strong>Chuẩn bus: PCI Express 3.0 x16 (~32 GB/s)</strong></span></p>
</li>
<li data-start="678" data-end="731">
<p data-start="680" data-end="731"><span style="font-size: 110%"><strong>Kết nối NVLink: Không hỗ trợ (khác P100/V100)</strong></span></p>
</li>
<li data-start="732" data-end="785">
<p data-start="734" data-end="785"><span style="font-size: 110%"><strong>Giao diện vật lý: PCIe full-height, dual-slot</strong></span></p>
</li>
</ul>
<hr data-start="787" data-end="790" />
<h2 data-start="792" data-end="819"><span style="font-size: 110%"><strong>4. Điện năng &amp; Tản nhiệt</strong></span></h2>
<ul data-start="820" data-end="969">
<li data-start="820" data-end="839">
<p data-start="822" data-end="839"><span style="font-size: 110%"><strong>TDP: ~250 W</strong></span></p>
</li>
<li data-start="840" data-end="889">
<p data-start="842" data-end="889"><span style="font-size: 110%"><strong>Nguồn yêu cầu: 8-pin PCIe power connector</strong></span></p>
</li>
<li data-start="890" data-end="969">
<p data-start="892" data-end="969"><span style="font-size: 110%"><strong>Tản nhiệt: Thụ động (passive) cho server hoặc active (quạt) tùy bản OEM</strong></span></p>
</li>
</ul>
<hr data-start="971" data-end="974" />
<h2 data-start="976" data-end="1003"><span style="font-size: 110%"><strong>5. Kích thước &amp; Ứng dụng</strong></span></h2>
<ul data-start="1004" data-end="1233">
<li data-start="1004" data-end="1039">
<p data-start="1006" data-end="1039"><span style="font-size: 110%"><strong>Form factor: PCIe dual-slot</strong></span></p>
</li>
<li data-start="1040" data-end="1233">
<p data-start="1042" data-end="1063"><span style="font-size: 110%"><strong>Ứng dụng chính:</strong></span></p>
<ul data-start="1066" data-end="1233">
<li data-start="1066" data-end="1105">
<p data-start="1068" data-end="1105"><span style="font-size: 110%"><strong>AI Inference (xử lý suy luận nhanh)</strong></span></p>
</li>
<li data-start="1108" data-end="1141">
<p data-start="1110" data-end="1141"><span style="font-size: 110%"><strong>Machine Learning (mức cơ bản)</strong></span></p>
</li>
<li data-start="1144" data-end="1170">
<p data-start="1146" data-end="1170"><span style="font-size: 110%"><strong>Xử lý hình ảnh &amp; video</strong></span></p>
</li>
<li data-start="1173" data-end="1233">
<p data-start="1175" data-end="1233"><span style="font-size: 110%"><strong>Ứng dụng đòi hỏi nhiều VRAM nhưng không yêu cầu FP64 cao</strong></span></p>
</li>
</ul>
</li>
</ul>
<h3 data-start="1240" data-end="1256"></h3>
<h2><strong>Hình ảnh tham khảo :</strong></h2>
<figure id="attachment_6757" aria-describedby="caption-attachment-6757" style="width: 1440px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6757" title="Card GPU NVIDIA Tesla P40 24GB GDDR5 01" src="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-01.jpg" alt="Card GPU NVIDIA Tesla P40 24GB GDDR5 01" width="1440" height="1920" srcset="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-01.jpg 1440w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-01-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-01-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-01-1152x1536.jpg 1152w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-01-510x680.jpg 510w" sizes="auto, (max-width: 1440px) 100vw, 1440px" /><figcaption id="caption-attachment-6757" class="wp-caption-text">Card GPU NVIDIA Tesla P40 24GB GDDR5 01</figcaption></figure>
<figure id="attachment_6758" aria-describedby="caption-attachment-6758" style="width: 1440px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6758" title="Card GPU NVIDIA Tesla P40 24GB GDDR5 02" src="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-02.jpg" alt="Card GPU NVIDIA Tesla P40 24GB GDDR5 02" width="1440" height="1920" srcset="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-02.jpg 1440w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-02-225x300.jpg 225w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-02-768x1024.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-02-1152x1536.jpg 1152w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-02-510x680.jpg 510w" sizes="auto, (max-width: 1440px) 100vw, 1440px" /><figcaption id="caption-attachment-6758" class="wp-caption-text">Card GPU NVIDIA Tesla P40 24GB GDDR5 02</figcaption></figure>
<figure id="attachment_6759" aria-describedby="caption-attachment-6759" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6759" title="Card GPU NVIDIA Tesla P40 24GB GDDR5 03" src="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-03.jpg" alt="Card GPU NVIDIA Tesla P40 24GB GDDR5 03" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-03.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-03-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-03-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-03-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-03-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-03-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-6759" class="wp-caption-text">Card GPU NVIDIA Tesla P40 24GB GDDR5 03</figcaption></figure>
<figure id="attachment_6760" aria-describedby="caption-attachment-6760" style="width: 1920px" class="wp-caption alignnone"><img loading="lazy" decoding="async" class="size-full wp-image-6760" title="Card GPU NVIDIA Tesla P40 24GB GDDR5 04" src="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-04.jpg" alt="Card GPU NVIDIA Tesla P40 24GB GDDR5 04" width="1920" height="1440" srcset="https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-04.jpg 1920w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-04-300x225.jpg 300w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-04-1024x768.jpg 1024w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-04-768x576.jpg 768w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-04-1536x1152.jpg 1536w, https://maychuzin.com/wp-content/uploads/2025/07/Card-GPU-NVIDIA-Tesla-P40-24GB-GDDR5-04-510x383.jpg 510w" sizes="auto, (max-width: 1920px) 100vw, 1920px" /><figcaption id="caption-attachment-6760" class="wp-caption-text">Card GPU NVIDIA Tesla P40 24GB GDDR5 04</figcaption></figure>
<p>The post <a href="https://maychuzin.com/server-maychu/card-gpu-nvidia-tesla-p40-24gb-gddr5/">Card GPU NVIDIA Tesla P40 24GB GDDR5</a> appeared first on <a href="https://maychuzin.com">Máy chủ server và linh kiện</a>.</p>
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