نقبل الدفع بالعملة المشفرة — لذلك يمكن للعملات الرقمية التي تملكها أن تشتري أجهزة حقيقية.ادفع بالعملة المشفرة، وأنفقها على أجهزة حقيقية. شحن مؤمن مجانا إلى كل أنحاء العالم لما يتجاوز 399 US$. صناديق شحن بسيطة بلا علامة تجارية، ترسل من ألمانيا.شحن مؤمن مجانا لما يتجاوز 399 US$. يُقفل سعرك لمدة 30 دقيقة بمجرد فتح صفحة الدفع.السعر مقفل لمدة 30 دقيقة. كل قطعة مختومة، ورقمها التسلسلي متحقق منه، ومشمولة بضمان 24 شهرا.مختوم، وبضمان 24 شهرا.

قائمة الرصد تسجيل الدخول
HP Tesla V100 16GB HBM2 PCIe graphics card with single 8-pin power connector

HP

HP NVIDIA Tesla V100 16GB HBM2 workstation graphics card Q2N68A

SKU CH-19MS-FKXC0

Delivers 16 GB HBM2 memory for AI and HPC workloads over a PCIe 3.0 x16 interface

  • GPUTesla V100
  • Memory TypeHBM2
  • 16GB HBM2 memory accelerates large-model training
  • 250W TDP fits standard workstation power budgets
  • PCIe 3.0 x16 interface integrates with existing servers
  • DirectX 12 and OpenGL 4.6 support professional visualisation
  • CUDA 7.0 enables GPU compute workloads

HP Tesla V100 16GB HBM2 compute card

This HP workstation graphics card carries an NVIDIA Tesla V100 GPU with 16GB of HBM2 memory. It is built for double-precision compute, AI training and high-performance simulation workloads. The board uses a PCIe 3.0 x16 interface and draws up to 250W through a single 8-pin power connector. It targets data-centre and workstation users who need dense memory bandwidth in a standard expansion slot.

Suited for dense GPU compute.

Engineers running CUDA 7.0 kernels, OpenCL 3.0 or Vulkan 1.2 workloads will benefit from the high-bandwidth memory and 250W thermal envelope. The card also supports DirectX 12 and OpenGL 4.6 for visualisation tasks. Buyers who need only display output or single-precision gaming performance should look at something else. Systems without a 250W power budget or a free 8-pin connector cannot use this board.

16GB HBM2 memory capacity

The 16GB HBM2 frame buffer is the specification that decides fit. It determines the maximum model size, dataset tile or simulation domain that fits in GPU memory without paging. Workloads exceeding this capacity will spill to host memory and lose performance. Check your application memory footprint against the 16GB limit before purchasing.

أبرز المميزات

  • 16GB HBM2 memory accelerates large-model training
  • 250W TDP fits standard workstation power budgets
  • PCIe 3.0 x16 interface integrates with existing servers
  • DirectX 12 and OpenGL 4.6 support professional visualisation
  • CUDA 7.0 enables GPU compute workloads

المواصفات

GPUTesla V100
Memory TypeHBM2

أسئلة حول هذا المنتج

How is the PCIe 3.0 x16 card installed and what step is often missed?

Insert the card into a PCIe 3.0 x16 slot and connect the 1x 8-pin power connector; the step often missed is ensuring the power cable is fully seated before booting.

What maintenance or replacement will the 16GB HBM2 card need later?

The 250W TDP means dust buildup on the heatsink will raise temperatures; clean the fins and fan annually and replace thermal paste if temperatures exceed safe limits.

What limit appears first under sustained compute load?

The 250W power limit is reached first; the GPU will throttle clocks to stay within the 1x 8-pin connector's delivery capacity during long Cuda workloads.

أيضًا في هذا القسم

عملاء قارنوا هذه المنتجات

نفس القسم، ونفس صفحة الدفع — ثماني عملات رقمية وقفل سعر لمدة 30 دقيقة.