{"product_id":"ktdch-refurbished-nvidia-tesla-k40-12g-gpu","title":"KTDCH - Refurbished - NVIDIA TESLA K40 12G GPU","description":"\u003cp\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eThe \u003cstrong data-start=\"4\" data-end=\"33\"\u003eNVIDIA Tesla K40 12GB GPU\u003c\/strong\u003e is a high-performance computing accelerator designed for scientific, engineering, and enterprise applications.\u003c\/span\u003e \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eIt is not a network card but a specialized GPU optimized for parallel processing tasks.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3 data-start=\"166\" data-end=\"191\" class=\"\"\u003eSpecifications\u003c\/h3\u003e\n\u003cul data-start=\"193\" data-end=\"909\"\u003e\n\u003cli data-start=\"193\" data-end=\"254\" class=\"\"\u003e\n\u003cp data-start=\"195\" data-end=\"254\" class=\"\"\u003e\u003cstrong data-start=\"195\" data-end=\"215\"\u003eGPU Architecture\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eKepler (GK110B)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"255\" data-end=\"310\" class=\"\"\u003e\n\u003cp data-start=\"257\" data-end=\"310\" class=\"\"\u003e\u003cstrong data-start=\"257\" data-end=\"271\"\u003eCUDA Cores\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e2,880\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"311\" data-end=\"366\" class=\"\"\u003e\n\u003cp data-start=\"313\" data-end=\"366\" class=\"\"\u003e\u003cstrong data-start=\"313\" data-end=\"327\"\u003eBase Clock\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e745 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"367\" data-end=\"423\" class=\"\"\u003e\n\u003cp data-start=\"369\" data-end=\"423\" class=\"\"\u003e\u003cstrong data-start=\"369\" data-end=\"384\"\u003eBoost Clock\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eUp to 875 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"424\" data-end=\"475\" class=\"\"\u003e\n\u003cp data-start=\"426\" data-end=\"475\" class=\"\"\u003e\u003cstrong data-start=\"426\" data-end=\"436\"\u003eMemory\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e12 GB GDDR5 ECC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"476\" data-end=\"537\" class=\"\"\u003e\n\u003cp data-start=\"478\" data-end=\"537\" class=\"\"\u003e\u003cstrong data-start=\"478\" data-end=\"498\"\u003eMemory Interface\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e384-bit\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"538\" data-end=\"601\" class=\"\"\u003e\n\u003cp data-start=\"540\" data-end=\"601\" class=\"\"\u003e\u003cstrong data-start=\"540\" data-end=\"560\"\u003eMemory Bandwidth\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e288 GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"602\" data-end=\"682\" class=\"\"\u003e\n\u003cp data-start=\"604\" data-end=\"682\" class=\"\"\u003e\u003cstrong data-start=\"604\" data-end=\"641\"\u003ePeak Single-Precision Performance\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e4.29 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"683\" data-end=\"763\" class=\"\"\u003e\n\u003cp data-start=\"685\" data-end=\"763\" class=\"\"\u003e\u003cstrong data-start=\"685\" data-end=\"722\"\u003ePeak Double-Precision Performance\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003e1.43 TFLOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"764\" data-end=\"824\" class=\"\"\u003e\n\u003cp data-start=\"766\" data-end=\"824\" class=\"\"\u003e\u003cstrong data-start=\"766\" data-end=\"783\"\u003eBus Interface\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003ePCI Express 3.0 x16\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"825\" data-end=\"909\" class=\"\"\u003e\n\u003cp data-start=\"827\" data-end=\"909\" class=\"\"\u003e\u003cstrong data-start=\"827\" data-end=\"857\"\u003eTDP (Thermal Design Power)\u003c\/strong\u003e: 235W\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"916\" data-end=\"952\" class=\"\"\u003eCompatibility \u0026amp; Installation\u003c\/h3\u003e\n\u003cul data-start=\"954\" data-end=\"1219\"\u003e\n\u003cli data-start=\"954\" data-end=\"1012\" class=\"\"\u003e\n\u003cp data-start=\"956\" data-end=\"1012\" class=\"\"\u003e\u003cstrong data-start=\"956\" data-end=\"971\"\u003eForm Factor\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eFull-height, dual-slot card\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1013\" data-end=\"1067\" class=\"\"\u003e\n\u003cp data-start=\"1015\" data-end=\"1067\" class=\"\"\u003e\u003cstrong data-start=\"1015\" data-end=\"1026\"\u003eCooling\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eAvailable in both active (with fan) and passive (requires chassis airflow) cooling solutions\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1068\" data-end=\"1219\" class=\"\"\u003e\n\u003cp data-start=\"1070\" data-end=\"1219\" class=\"\"\u003e\u003cstrong data-start=\"1070\" data-end=\"1092\"\u003ePower Requirements\u003c\/strong\u003e: \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eTypically requires one 6-pin and one 8-pin PCIe power connectors\u003c\/span\u003e \u003cspan class=\"ms-1 inline-flex max-w-full items-center relative top-[-0.094rem] animate-[show_150ms_ease-in]\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1221\" data-end=\"1251\" class=\"\"\u003e\u003cstrong data-start=\"1221\" data-end=\"1250\"\u003eMotherboard Compatibility\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cp data-start=\"1253\" data-end=\"1378\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eThe Tesla K40 is compatible with motherboards that have a PCIe 3.0 x16 slot and sufficient power delivery.\u003c\/span\u003e \u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eIt has been used in systems such as:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul data-start=\"1380\" data-end=\"1671\"\u003e\n\u003cli data-start=\"1380\" data-end=\"1461\" class=\"\"\u003e\n\u003cp data-start=\"1382\" data-end=\"1461\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eHP Workstations: Z420, Z620, Z820\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1462\" data-end=\"1543\" class=\"\"\u003e\n\u003cp data-start=\"1464\" data-end=\"1543\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eLenovo P510\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1544\" data-end=\"1671\" class=\"\"\u003e\n\u003cp data-start=\"1546\" data-end=\"1671\" class=\"\"\u003e\u003cspan class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\"\u003eSupermicro Socket 2011 boards\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"ShopITgear","offers":[{"title":"Default Title","offer_id":47923363250276,"sku":null,"price":124.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0767\/3482\/4548\/files\/KTDCH.jpg?v=1771296046","url":"https:\/\/resilient-tec.com\/products\/ktdch-refurbished-nvidia-tesla-k40-12g-gpu","provider":"Resilient Tec, LLC","version":"1.0","type":"link"}