{"id":132,"date":"2025-07-23T15:58:58","date_gmt":"2025-07-23T07:58:58","guid":{"rendered":"https:\/\/www.ai-cooling.com\/?post_type=product&#038;p=132"},"modified":"2026-03-25T09:43:41","modified_gmt":"2026-03-25T01:43:41","slug":"v100-sxm2-32g-300g-nvlink%e4%ba%92%e8%bf%9e-%e5%8f%8c%e5%8d%a1-%e5%a4%96%e7%bd%ae%e7%ae%97%e5%8a%9b%e5%9d%9e","status":"publish","type":"product","link":"https:\/\/www.ai-cooling.com\/?product=v100-sxm2-32g-300g-nvlink%e4%ba%92%e8%bf%9e-%e5%8f%8c%e5%8d%a1-%e5%a4%96%e7%bd%ae%e7%ae%97%e5%8a%9b%e5%9d%9e","title":{"rendered":"V100-sxm2-32g 300G NVlink\u4e92\u8fde \u53cc\u5361 \u5916\u7f6e\u7b97\u529b\u575e"},"content":{"rendered":"<p>tesla v100\u53cc\u5361\u6c34\u51b7\u663e\u5361\u575e \u5916\u7f6e\u663e\u5361 32g\u663e\u5b58nvlink\uff0c\u6ee1\u8db3\u5b9e\u73b0\u4f60\u5bf9V100\u53cc\u5361Nvlink\u7684\u6240\u6709\u8981\u6c42\uff0c\u8f7b\u4fbf\uff0c\u7d27\u51d1\uff0c\u5b89\u9759\uff0c\u7b97\u529b\u6f8e\u62dc\u3002<\/p>\n<p>\u5bf9\u68073090-24G\uff0c4090-24G\uff0c\u540c\u7b49\u4e00\u4e07CUDA\u6838\u5fc3\u914d\u7f6e\u4e0b\uff0c\u663e\u5b5832G\u66f4\u80dc\u4e00\u7b79\u3002<\/p>\n<p>\u53ef\u4ee5\u76f4\u63a5\u8fd0\u884c\u5404\u79cd32B-Q4\u5927\u6a21\u578b<\/p>\n<p>\u4e3b\u673a\u518d\u914d\u4e00\u5f2016G\u6216\u4ee5\u4e0a\u82f1\u4f1f\u8fbe\u663e\u5361\uff0c\u5373\u53ef\u8fd0\u884c\u4efb\u4f5570B-Q4\u91cf\u5316\u6a21\u578b\u3002<\/p>\n<p>\u73b0\u8d27\u53d1\u552e\uff0c\u4e0b\u5355\u5373\u53d1\u987a\u4e30\u3002<\/p>\n<p>\u5229\u7528PEX8749\u82af\u7247\u5c06\u4e00\u6761pcie3.0x16\u62c6\u5206\u6210\u4e24\u6761pcie3.0x16\u901a\u9053\uff0c\u518d\u901a\u8fc7\u4e3b\u677fNvlink 6\u901a\u9053\u53cc\u541125G\u5168\u901f\u8fde\u63a5\uff0c\u53ccV100\u4e4b\u95f4\u901a\u8fc5\u901f\u7387\u8fbe300G<\/p>\n<p>\u53cc240\u51b7\u6392\u9ad8\u6548\u6c34\u51b7\u914d\u7f6e\uff0c\u9759\u5fc3\u8fd0\u884c\uff0c\u4e3a\u4e24\u5757\u529f\u7387\u8fbe300\u74e6\u7684V100\u6563\u70ed\uff0c\u65e5\u5e38\u8fd0\u884cllm\uff0c\u6e29\u5ea6\u4e0d\u8d85\u8fc747\u5ea6\uff0c\u6ee1\u8f7dV100\u6838\u5fc3\u6e29\u5ea6\u4e0d\u8d85\u8fc760\u5ea6\u3002<\/p>\n<p>\u673a\u8eab\u5c3a\u5bf8\uff1a40&#215;20.5x41cm<\/p>\n<p>\u5185\u7f6e\uff1a240\u51b7\u6392x2<\/p>\n<p>\u6c34\u51b7\u5934\uff1a\u94dd\u5408\u91d1\u5747\u70ed\u677f+\u7d2b\u94dc\u6838\u5fc3+\u4e9a\u514b\u529b\u672c\u4f53\u3002<\/p>\n<p>\u6c34\u6cf5\uff1a\u9ad8\u901f\u6f5c\u6c34\u6cf5<\/p>\n<p>V100\u7ec4\u5408\u65b9\u6848\uff1a<br \/>\n1\u300116G+16G=32G<br \/>\n2\u300116G+32G=48G<br \/>\n3\u300132G+32G=64G<br \/>\n&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<br \/>\n\u8fd9\u662f\u4e00\u6b3e\u4e13\u4e3a\u9ad8\u6027\u80fd\u8ba1\u7b97\u548cAI\u8bad\u7ec3\u6253\u9020\u7684\u53cc\u5361\u6c34\u51b7\u8ba1\u7b97\u5e73\u53f0\uff0c\u57fa\u4e8e\u56fd\u5185\u6700\u65b0\u7684SXM2\u53cc\u5361NVLink\u6269\u5c55\u65b9\u6848\u3002\u5b83\u96c6\u6210\u4e86\u4e24\u5f20NVIDIA Tesla V100-SXM2 16GB\u4e13\u4e1a\u663e\u5361\uff0c\u914d\u5907\u6c34\u51b7\u7cfb\u7edf\u3001\u4f18\u5316\u7684\u7535\u6e90\u548c\u7ed3\u6784\u8bbe\u8ba1\uff0c\u8f7b\u677e\u5e94\u5bf9\u5927\u89c4\u6a21AI\u8bad\u7ec3\u3001\u79d1\u5b66\u4eff\u771f\u7b49\u91cd\u8f7d\u4efb\u52a1\u3002<\/p>\n<p>\u4e3a\u4ec0\u4e48\u9009\u62e9\u8fd9\u6b3e\u4ea7\u54c1\uff1f<\/p>\n<p>\u8d85\u5f3a\u7b97\u529b\uff0c\u4e13\u4e1a\u8ba1\u7b97\u5229\u5668<\/p>\n<p>\u642d\u8f7d\u4e24\u5f20 Tesla V100 \u663e\u5361\uff0c\u603b\u5171\u62e5\u6709 10240 \u4e2a CUDA \u6838\u5fc3 \u548c 640 \u4e2a Tensor \u6838\u5fc3\uff0c\u4e13\u4e3a\u79d1\u5b66\u8ba1\u7b97\u3001\u6df1\u5ea6\u5b66\u4e60\u3001\u9ad8\u6027\u80fd\u4eff\u771f\u800c\u8bbe\u8ba1\u3002<br \/>\n\u663e\u5b58\u603b\u5bb9\u91cf\u8fbe\u5230 32GB \u9ad8\u901f HBM2 \u663e\u5b58\uff0c\u5e26\u5bbd\u9ad8\u8fbe \u6bcf\u79d2 900GB\uff08\u5355\u5361\uff09\uff0c\u8fdc\u8d85\u666e\u901a\u663e\u5361\uff0c\u8f7b\u677e\u5904\u7406\u5927\u6a21\u578b\u4e0e\u5927\u6570\u636e\u3002<\/p>\n<p>\u9ad8\u901f\u4e92\u8054\uff0c\u6548\u7387\u7ffb\u500d<\/p>\n<p>\u4e24\u5f20\u663e\u5361\u901a\u8fc7 NVLink 2.0 \u5b9e\u73b0\u9ad8\u901f\u8fde\u63a5\uff0c\u6570\u636e\u4f20\u8f93\u5e26\u5bbd\u9ad8\u8fbe 300 GB\/s\uff08\u53cc\u5411\uff09\uff0c\u8fdc\u5feb\u4e8e\u4f20\u7edf PCIe \u63a5\u53e3\uff0c\u6709\u6548\u63d0\u5347\u591a\u5361\u534f\u540c\u6548\u7387\u3002<br \/>\n\u5229\u7528\u5148\u8fdb\u7684 PEX8749 \u82af\u7247\uff0c\u8ba9\u4e3b\u673a\u4e00\u4e2a PCIe \u63d2\u69fd\u5373\u53ef\u8fde\u63a5\u4e24\u5f20\u72ec\u7acb\u663e\u5361\uff0c\u7a81\u7834\u786c\u4ef6\u9650\u5236\u3002<\/p>\n<p>\u5373\u63d2\u5373\u7528\uff0c\u90e8\u7f72\u7b80\u5355<\/p>\n<p>\u63d2\u4e0a\u8f6c\u63a5\u5361\u540e\u7cfb\u7edf\u81ea\u52a8\u8bc6\u522b\uff0c\u65e0\u9700\u989d\u5916\u9a71\u52a8\uff0c\u5feb\u901f\u90e8\u7f72\u3002<br \/>\n\u53ef\u7075\u6d3b\u6269\u5c55\uff0c\u652f\u6301\u591a\u7ec4\u8bbe\u5907\u7ec4\u6210 4 \u5361\u30018 \u5361\u751a\u81f3\u66f4\u591a GPU \u8ba1\u7b97\u96c6\u7fa4\uff0c\u9002\u5e94\u4e0d\u65ad\u589e\u957f\u7684\u4e1a\u52a1\u9700\u6c42\u3002<\/p>\n<p>\u5f3a\u529b\u6c34\u51b7\u7cfb\u7edf\uff0c\u7a33\u5b9a\u8fd0\u884c<\/p>\n<p>\u4e13\u4e1a\u5b9a\u5236\u6c34\u51b7\u65b9\u6848\uff0c\u914d\u5408\u9ad8\u6548\u7535\u6e90\uff0c\u4fdd\u969c\u53cc\u5361\u5728\u9ad8\u8d1f\u8f7d\u4e0b\u957f\u65f6\u95f4\u7a33\u5b9a\u5de5\u4f5c\u3002<\/p>\n<p>\u6a21\u5757\u5316\u8bbe\u8ba1\u8282\u7701\u7a7a\u95f4\uff0c\u975e\u5e38\u9002\u5408\u6570\u636e\u4e2d\u5fc3\u6216\u5b9e\u9a8c\u5ba4\u73af\u5883\u4f7f\u7528\u3002<\/p>\n<p>\u3010\u6ce8\u610f\u3011v100\u529f\u7387300\u74e6\uff0cHBM\u53d1\u70ed\u91cf\u5de8\u5927\uff0c\u4e00\u822c\u98ce\u51b7\u96be\u4ee5\u538b\u5236\uff0c\u6709\u6761\u4ef6\u5c3d\u91cf\u4e0a\u6c34\u51b7\uff0c\u5426\u5219\u5bb9\u6613\u70e7\u574f\u6838\u5fc3\u4e0eHBM\u663e\u5b58\u3002<\/p>\n<p>\u3010\u6ce8\u610f\u3011\u63d0\u4f9b\u539f\u88c5\u9a71\u52a8\u5b89\u88c5\u6307\u5bfc\uff0c\u4e0d\u6389\u9a71\u52a8\uff0c\u5305\u70b9\u4eae<\/p>\n<p>\u3010\u6ce8\u610f\u3011\u6c34\u51b7\u98ce\u6247\uff0c\u51b7\u76d6\u677f\uff0cNvlink\u8f6c\u63a5\u5361\uff08\u975e\u4eba\u4e3a\u635f\u574f\u60c5\u51b5\u4e0b\uff09\u4fdd\u4fee6\u4e2a\u6708\u3002<br \/>\n\u3010\u6ce8\u610f\u3011\u6b63\u89c4\u5f00\u7968\uff1a\u666e\u7968+6%<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-139\" src=\"http:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u622a\u56fe_20250617100336.jpg\" alt=\"\" width=\"582\" height=\"507\" srcset=\"https:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u622a\u56fe_20250617100336.jpg 582w, https:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u622a\u56fe_20250617100336-300x261.jpg 300w\" sizes=\"(max-width: 582px) 100vw, 582px\" \/><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-140\" src=\"http:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u56fe\u7247_20250604153848.png\" alt=\"\" width=\"825\" height=\"565\" srcset=\"https:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u56fe\u7247_20250604153848.png 825w, https:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u56fe\u7247_20250604153848-300x205.png 300w, https:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u56fe\u7247_20250604153848-768x526.png 768w, https:\/\/www.ai-cooling.com\/wp-content\/uploads\/2025\/07\/\u5fae\u4fe1\u56fe\u7247_20250604153848-600x411.png 600w\" sizes=\"(max-width: 825px) 100vw, 825px\" \/><\/p>\n<p dir=\"auto\"><strong>Tesla V100 Dual Card Water Cooling Graphics Card Dock<\/strong><\/p>\n<p dir=\"auto\">External graphics card with 32G memory and NVLink, meeting all your requirements for V100 dual card NVLink. Lightweight, compact, quiet, and powerful.<\/p>\n<p dir=\"auto\">Comparable to 3090-24G and 4090-24G, with the same 10,000 CUDA core configuration, our 32G memory outperforms them.<\/p>\n<p dir=\"auto\">Can run various 32B-Q4 large models directly.<\/p>\n<p dir=\"auto\">With an additional 16G or higher NVIDIA graphics card in the host, you can run any 70B-Q4 quantization model.<\/p>\n<p dir=\"auto\">In stock, ships immediately via SF Express.<\/p>\n<p dir=\"auto\">Using the PEX8749 chip, one PCIe 3.0 x16 channel is split into two PCIe 3.0 x16 channels, and then connected to the motherboard via NVLink 6-channel dual-way 25G full-speed connection, with a data transfer rate of 300G between the two V100 cards.<\/p>\n<p dir=\"auto\">Dual 240mm radiator water cooling configuration, silent operation, cooling two 300W V100 cards, with a daily operating temperature not exceeding 47\u00b0C and a full-load V100 core temperature not exceeding 60\u00b0C.<\/p>\n<p dir=\"auto\">Body size: 40 x 20.5 x 41 cm<\/p>\n<p dir=\"auto\">Internal: 2 x 240mm radiators<\/p>\n<p dir=\"auto\">Water cooling head: Aluminum alloy heat sink + copper core + acrylic body<\/p>\n<p dir=\"auto\">Water pump: High-speed submerged pump<\/p>\n<p dir=\"auto\">V100 combination scheme:<\/p>\n<ol>\n<li>16G + 16G = 32G<\/li>\n<li>16G + 32G = 48G<\/li>\n<li>32G + 32G = 64G<\/li>\n<\/ol>\n<p dir=\"auto\"><strong>Introduction:<\/strong><\/p>\n<p dir=\"auto\">This is a high-performance computing and AI training platform, built with the latest domestic SXM2 dual-card NVLink expansion scheme. It integrates two NVIDIA Tesla V100-SXM2 16GB professional graphics cards, with a water cooling system, optimized power supply, and structural design, easily handling large-scale AI training, scientific simulations, and other heavy-duty tasks.<\/p>\n<p dir=\"auto\"><strong>Why choose this product?<\/strong><\/p>\n<p dir=\"auto\">Ultra-powerful computing, professional calculation tool<\/p>\n<p dir=\"auto\">Equipped with two Tesla V100 graphics cards, with a total of 10,240 CUDA cores and 640 Tensor cores, designed for scientific computing, deep learning, and high-performance simulations.<\/p>\n<p dir=\"auto\">Total memory capacity reaches 32GB high-speed HBM2 memory, with a bandwidth of up to 900GB\/s (single card), far surpassing ordinary graphics cards, easily handling large models and big data.<\/p>\n<p dir=\"auto\">High-speed interconnection, double efficiency<\/p>\n<p dir=\"auto\">Two graphics cards connected via NVLink 2.0, with a data transfer bandwidth of up to 300 GB\/s (dual-way), far faster than traditional PCIe interfaces, effectively improving multi-card collaboration efficiency.<\/p>\n<p dir=\"auto\">Using the advanced PEX8749 chip, one PCIe slot can connect two independent graphics cards, breaking hardware limitations.<\/p>\n<p dir=\"auto\">Plug-and-play, easy deployment<\/p>\n<p dir=\"auto\">System automatically recognizes the card after insertion, no need for additional drivers, quick deployment.<\/p>\n<p dir=\"auto\">Can be flexibly expanded, supporting multiple devices to form 4-card, 8-card, or more GPU computing clusters, adapting to growing business needs.<\/p>\n<p dir=\"auto\">Powerful water cooling system, stable operation<\/p>\n<p dir=\"auto\">Customized water cooling scheme, combined with efficient power supply, ensuring stable operation of the dual cards under high load.<\/p>\n<p dir=\"auto\">Modular design saves space, suitable for data centers or laboratory environments.<\/p>\n<p dir=\"auto\"><strong>Note:<\/strong><\/p>\n<ul>\n<li>V100 power consumption is 300W, HBM heat generation is huge, and air cooling is difficult to suppress. Water cooling is recommended to avoid damaging the core and HBM memory.<\/li>\n<li>Original driver installation guidance is provided, with no driver drop, and a guarantee of lighting up.<\/li>\n<li>Water cooling fan, cold cover, NVLink conversion card (non-human damage) are warranted for 6 months.<\/li>\n<li>Formal invoice: general invoice + 6%<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u8fd9\u662f\u4e00\u6b3e\u4e13\u4e3a\u9ad8\u6027\u80fd\u8ba1\u7b97\u548cAI\u8bad\u7ec3\u6253\u9020\u7684\u53cc\u5361\u6c34\u51b7\u8ba1\u7b97\u5e73\u53f0\uff0c\u57fa\u4e8e\u56fd\u5185\u6700\u65b0\u7684SXM2\u53cc\u5361NVLink\u6269\u5c55\u65b9\u6848\u3002\u5b83\u96c6\u6210\u4e86\u4e24\u5f20NVIDIA Tesla V100-SXM2 16GB\u4e13\u4e1a\u663e\u5361\uff0c\u914d\u5907\u6c34\u51b7\u7cfb\u7edf\u3001\u4f18\u5316\u7684\u7535\u6e90\u548c\u7ed3\u6784\u8bbe\u8ba1\uff0c\u8f7b\u677e\u5e94\u5bf9\u5927\u89c4\u6a21AI\u8bad\u7ec3\u3001\u79d1\u5b66\u4eff\u771f\u7b49\u91cd\u8f7d\u4efb\u52a1\u3002<\/p>\n","protected":false},"featured_media":222,"template":"","meta":[],"product_brand":[],"product_cat":[21],"product_tag":[],"class_list":{"0":"post-132","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-ai","8":"first","9":"instock","10":"shipping-taxable","11":"purchasable","12":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=\/wp\/v2\/product\/132","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=\/wp\/v2\/product"}],"about":[{"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=\/wp\/v2\/media\/222"}],"wp:attachment":[{"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=132"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_brand&post=132"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_cat&post=132"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/www.ai-cooling.com\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_tag&post=132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}