{"product_id":"for-nvidia-v100-sxm2-16gb-32gb-graphics-card-v100-16gb-v100-32gb-sxm2-to-pcie-card","title":"For NVIDIA V100 SXM2 16GB 32GB Graphics Card V100 16GB\/V100 32GB SXM2 To PCIE Card","description":"\u003cp\u003e\u003cspan style=\"color: rgb(244, 78, 59); font-size: 28px; font-family: arial, helvetica, sans-serif;\"\u003e\u003cstrong\u003eThis is a V100 SXM2 graphics card to PCIE converter. It features a pure copper heatsink and turbo fan for efficient heat dissipation.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(244, 78, 59); font-size: 28px; font-family: arial, helvetica, sans-serif;\"\u003e\u003cstrong\u003eNote: Due to the turbo fan, it will produce a relatively loud noise during operation.\u003c\/strong\u003e\u003c\/span\u003e\u003cb\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ctable class=\"NRefec\" data-animation-nesting=\"\" data-sae=\"\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003cth class=\"iry6k\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eFeature\u003cspan class=\"uJ19be notranslate\" data-sfc-root=\"c\" data-wiz-uids=\"VPsIgd_1n,VPsIgd_1o\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cspan class=\"vKEkVd\" data-animation-atomic=\"\" data-wiz-attrbind=\"class=VPsIgd_1m\/TKHnVd\" data-sae=\"\"\u003e\u003cspan aria-hidden=\"true\"\u003e \u003c\/span\u003e\u003cbutton data-amic=\"true\" data-icl-uuid=\"671fad83-5f9d-41d8-b156-b8960ee0d6ff\" aria-label=\"查看相关链接\" class=\"rBl3me\" data-wiz-attrbind=\"disabled=VPsIgd_1m\/C5gNJc;aria-label=VPsIgd_1m\/bOjMyf;class=VPsIgd_1m\/UpSNec\" data-ved=\"2ahUKEwj3sZT4lpKUAxUHJe8CHSZKLAUQye0OegYIAQgGEAE\" data-hveid=\"CAEIBhAB\" tabindex=\"0\"\u003e\u003cspan class=\"wiMplc ofC0Ud\"\u003e\u003csvg fill=\"currentColor\" width=\"12px\" height=\"12px\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 24 24\"\u003e\u003cpath d=\"M3.9 12c0-1.71 1.39-3.1 3.1-3.1h4V7H7c-2.76 0-5 2.24-5 5s2.24 5 5 5h4v-1.9H7c-1.71 0-3.1-1.39-3.1-3.1zM8 13h8v-2H8v2zm9-6h-4v1.9h4c1.71 0 3.1 1.39 3.1 3.1s-1.39 3.1-3.1 3.1h-4V17h4c2.76 0 5-2.24 5-5s-2.24-5-5-5z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003c\/span\u003e\u003c\/button\u003e\u003c\/span\u003e\u003c\/span\u003e\n\u003c\/th\u003e\n\u003cth class=\"iry6k\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eV100 SXM2 (16GB)\u003c\/th\u003e\n\u003cth class=\"iry6k\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eV100 SXM2 (32GB)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eGPU Architecture\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eNVIDIA Volta™\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eNVIDIA Volta™\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eCUDA Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e5120\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e5120\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eTensor Cores\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e640\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e640\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eMemory Type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e16 GB HBM2\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e32 GB HBM2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e900 GB\/s\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e900 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eFP64 Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e7.8 TeraFLOPS\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e7.8 TeraFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eFP32 Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e15.7 TeraFLOPS\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e15.7 TeraFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eTensor Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e125 TeraFLOPS\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e125 TeraFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"cZCYO\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e\u003cstrong class=\"Yjhzub\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003eTDP (Power)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\"\u003e300W\u003c\/td\u003e\n\u003ctd class=\"cOeeGf\" colspan=\"undefined\" data-sfc-cp=\"\" data-sfc-root=\"c\" data-sfc-cb=\"\" data-complete=\"true\" aria-owns=\"action-menu-parent-container\"\u003e300W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"itpartspro","offers":[{"title":"SXM2 To PCIE 32GB","offer_id":52715891654975,"sku":null,"price":1000.0,"currency_code":"USD","in_stock":true},{"title":"SXM2 To PCIE 16GB","offer_id":52715891687743,"sku":null,"price":383.34,"currency_code":"USD","in_stock":true},{"title":"NO GPU","offer_id":52715891720511,"sku":null,"price":188.89,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/6368\/7743\/files\/Sbcf8d791697543b2b665e332f5823bfb7.webp?v=1775827242","url":"https:\/\/www.itpartspro.com\/products\/for-nvidia-v100-sxm2-16gb-32gb-graphics-card-v100-16gb-v100-32gb-sxm2-to-pcie-card","provider":"itpartspro","version":"1.0","type":"link"}