{"product_id":"original-graphics-card-for-nvidia-tesla-k80-24gb-gpu-j0g95a-796124-001-699-22080-0200-501-video-card","title":"Original Graphics Card For NVIDIA TESLA K80 24GB GPU J0G95A 796124-001 699-22080-0200-501 Video Card","description":"\u003cp\u003e\u003cstrong\u003eBrand Name\u003c\/strong\u003e: lotorasia\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eModel Number\u003c\/strong\u003e: K80\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eChipset Manufacturer\u003c\/strong\u003e: NVIDIA\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOverclocked\u003c\/strong\u003e: No\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eVideo Memory Type\u003c\/strong\u003e: GDDR5\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eVideo Memory Capacity\u003c\/strong\u003e: 24GB\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMemory Interface\u003c\/strong\u003e: 384 BIT\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHigh-concerned chemical\u003c\/strong\u003e: None\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eInterface Type\u003c\/strong\u003e: PCI Express 3.0x16\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCooler Type\u003c\/strong\u003e: No Fan\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePower Connector\u003c\/strong\u003e: 8pin\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGPU Model\u003c\/strong\u003e: Tesla K80\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOutput  Interface Type\u003c\/strong\u003e: VGA (D-Sub)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrigin\u003c\/strong\u003e: Mainland China\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eRGB\u003c\/strong\u003e: No\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eNVIDIA Tesla K80 is a dual-GPU computing card based on the Kepler architecture, whose main parameters include: Dual GK210 cores, 4992 CUDA cores, 24GB GDDR5 memory (12GB per GPU), 384-bit bandwidth, 480GB\/s bandwidth, 824MHz core frequency, 300W power consumption, passive heat dissipation design ‌. ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e1 ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e2\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Core parameters ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Architecture and core ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eIt adopts the Kepler architecture and is equipped with two GK210 GPU cores. Physically, it integrates two independent Gpus with 12GB of video memory within one card. ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e1 ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e3\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eEach GPU contains 2,496 CUDA cores (totaling 4,992), with a core frequency of 824MHz. ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e1 ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e4\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Memory configuration ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eThe video memory type is GDDR5, with a total capacity of 24GB (12GB per GPU), a bit width of 384 bits, and a bandwidth of 480GB\/s. ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e1 ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e2\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eSupports ECC error correction and Unified Virtual Address Space (UVA). ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e4\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Performance \u0026amp; power ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eThe performance of double-precision floating-point is 2.91 TFLOPs, and that of single-precision is 8.74 TFLOPs. ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e2\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eThe maximum power consumption is 300W. It requires an 8-pin power supply interface and PCIe 3.0 x16 bus. ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e1 ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e3\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Design features ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Cooling method ‌ : Passive cooling design, relying on server air ducts for cooling, not suitable for ordinary workstations. ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e3\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Dual-GPU logic ‌ : Must be identified as two separate Gpus during programming and interconnected via a PCIe bridge chip (PLX). ‌ ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e3\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eYoudaoplaceholder0 Application scenarios ‌\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eOptimized for high-density parallel computing such as machine learning and scientific computing, but due to its outdated architecture (released in 2014), the performance of modern AI tasks is relatively low\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cimg src=\"https:\/\/ae04.alicdn.com\/kf\/S71011fd7376f4eb9baa592381004da24p.png\" slate-data-type=\"image\"\u003e\u003cimg src=\"https:\/\/ae04.alicdn.com\/kf\/S06732fe9443e43e7ba68ea51d67817bf6.png\" slate-data-type=\"image\"\u003e\u003c\/p\u003e\u003cp\u003e\u003ckse:widget data-widget-type=\"customText\" id=\"23575524\" type=\"custom\"\u003e\u003c\/kse:widget\u003e\u003c\/p\u003e","brand":"Wolf Magazine","offers":[{"title":"Default Title","offer_id":51527465369883,"sku":"159383900","price":308.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0942\/7271\/7083\/files\/6d589218087a64c7163274578c0c574e_800x800x119862.jpg?v=1766885929","url":"https:\/\/www.wolfmagazinestore.com\/products\/original-graphics-card-for-nvidia-tesla-k80-24gb-gpu-j0g95a-796124-001-699-22080-0200-501-video-card","provider":"Wolf Magazine","version":"1.0","type":"link"}