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Lenovo Tesla V100 32 GB HBM2 passive plug-in card

Lenovo

Lenovo V100 32 GB HBM2 workstation graphics card

SKU CH-GJ0Z-RB57Z MPN V100

A 32 GB HBM2 passive plug-in card for compute workloads using OpenACC, OpenCL and DirectCompute

  • Chipset ManufacturerNVIDIA
  • GPUV100
  • Memory TypeHBM2
  • DirectXOpenACC OpenCL DirectCompute
  • OpenGLOpenACC OpenCL DirectCompute
  • Form FactorPlug-in Card
  • 32 GB HBM2 memory powers large-scale AI and HPC workloads
  • Passive cooler enables silent operation in dense server racks
  • NVIDIA Tesla V100 GPU accelerates double-precision compute tasks
  • OpenACC, OpenCL and DirectCompute support broad software compatibility
  • Plug-in card form factor fits standard PCIe workstation slots

32 GB HBM2 workstation GPU

The Lenovo V100 is a 32 GB HBM2 workstation graphics card built on the NVIDIA V100 chipset. It uses a passive plug-in card form factor and supports OpenACC, OpenCL and DirectCompute APIs for compute workloads.

Compute-focused users and passive-cooling builds

This card suits developers and researchers running GPU-accelerated simulations, deep-learning training or high-performance analytics that benefit from high-bandwidth memory. It is not for buyers who need active cooling, display outputs or gaming-oriented driver features.

32 GB HBM2 memory capacity

The 32 GB HBM2 frame buffer is the specification that determines whether this GPU can hold your model, dataset or simulation in memory. If your workload fits, the bandwidth and capacity match; if it exceeds this limit, you must consider a different configuration.

Privalumai

  • 32 GB HBM2 memory powers large-scale AI and HPC workloads
  • Passive cooler enables silent operation in dense server racks
  • NVIDIA Tesla V100 GPU accelerates double-precision compute tasks
  • OpenACC, OpenCL and DirectCompute support broad software compatibility
  • Plug-in card form factor fits standard PCIe workstation slots

Specifikacijos

BrandLenovo
Chipset ManufacturerNVIDIA
GPUV100
Memory TypeHBM2
DirectXOpenACC OpenCL DirectCompute
OpenGLOpenACC OpenCL DirectCompute
Form FactorPlug-in Card

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Does the passive-cooled 32 GB HBM2 card ship with any cables or brackets, or must they be purchased separately?

The card is supplied as a bare plug-in unit with a passive cooler; power cables, mounting brackets and any server rails are not included and must be sourced separately.

Is the 32 GB HBM2 version the only capacity offered for this Lenovo Tesla V100, or are smaller memory options available?

This specific Lenovo ThinkSystem part is the 32 GB HBM2 model; other capacity variants exist in the wider Tesla V100 line but are separate part numbers.

What does the 32 GB HBM2 figure mean for real-world compute workloads on this passive card?

The 32 GB HBM2 memory provides high bandwidth for large-model training and HPC jobs, while the passive cooler requires adequate server airflow to sustain full performance.

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