{"product_id":"original-graphics-card-for-nvidia-tesla-k80-24gb-gpu-j0g95a-796124-001-699-22080-0200-501-video-card","title":"Placa de Vídeo Original Para NVIDIA TESLA K80 24GB GPU J0G95A 796124-001 699-22080-0200-501","description":"\u003cp\u003e\u003cstrong\u003eNome da Marca\u003c\/strong\u003e: lotorasia\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eNúmero do Modelo\u003c\/strong\u003e: K80\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFabricante do Chipset\u003c\/strong\u003e: NVIDIA\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOverclock\u003c\/strong\u003e: Não\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTipo de Memória de Vídeo\u003c\/strong\u003e: GDDR5\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCapacidade de Memória de Vídeo\u003c\/strong\u003e: 24GB\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eInterface de Memória\u003c\/strong\u003e: 384 BIT\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProduto químico de alta preocupação\u003c\/strong\u003e: Nenhum\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTipo de Interface\u003c\/strong\u003e: PCI Express 3.0x16\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTipo de Cooler\u003c\/strong\u003e: Sem Ventilador\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eConector de Alimentação\u003c\/strong\u003e: 8 pinos\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eModelo de GPU\u003c\/strong\u003e: Tesla K80\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTipo de Interface de Saída\u003c\/strong\u003e: VGA (D-Sub)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOrigem\u003c\/strong\u003e: China Continental\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eRGB\u003c\/strong\u003e: Não\u003c\/p\u003e\u003cp\u003e\u003cspan style='font-size:18px;font-family:\"times new roman\", times, serif'\u003eA NVIDIA Tesla K80 é uma placa de computação de GPU dupla baseada na arquitetura Kepler, cujos principais parâmetros incluem: dois núcleos GK210, 4992 núcleos CUDA, 24 GB de memória GDDR5 (12 GB por GPU), largura de banda de 384 bits, largura de banda de 480 GB\/s, frequência de núcleo de 824 MHz, consumo de energia de 300 W, design de dissipação de calor passiva.\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'\u003eParâmetros do núcleo do Youdaoplaceholder0\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'\u003eArquitetura e núcleo do Youdaoplaceholder0\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'\u003eAdota a arquitetura Kepler e é equipada com dois núcleos de GPU GK210. Fisicamente, integra duas GPUs independentes com 12 GB de memória de vídeo em uma única placa.\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'\u003eCada GPU contém 2.496 núcleos CUDA (totalizando 4.992), com uma frequência de núcleo de 824 MHz.\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'\u003eConfiguração de memória do Youdaoplaceholder0\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'\u003eO tipo de memória de vídeo é GDDR5, com uma capacidade total de 24 GB (12 GB por GPU), uma largura de bits de 384 bits e uma largura de banda de 480 GB\/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'\u003eSuporta correção de erro ECC e Espaço de Endereçamento Virtual Unificado (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'\u003eDesempenho e energia do Youdaoplaceholder0\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'\u003eO desempenho de ponto flutuante de dupla precisão é de 2,91 TFLOPs e o de precisão simples é de 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'\u003eO consumo máximo de energia é de 300 W. Requer uma interface de alimentação de 8 pinos e barramento PCIe 3.0 x16.\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'\u003eCaracterísticas de design do Youdaoplaceholder0\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'\u003eMétodo de resfriamento do Youdaoplaceholder0: Design de resfriamento passivo, que depende dos dutos de ar do servidor para resfriamento, não sendo adequado para estações de trabalho comuns.\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'\u003eLógica de GPU dupla do Youdaoplaceholder0: Deve ser identificada como duas GPUs separadas durante a programação e interconectada por meio de um chip de ponte PCIe (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'\u003eCenários de aplicação do Youdaoplaceholder0\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'\u003eOtimizado para computação paralela de alta densidade, como aprendizado de máquina e computação científica, mas devido à sua arquitetura desatualizada (lançada em 2014), o desempenho de tarefas modernas de IA é relativamente baixo.\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\/pt\/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"}