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Full-height full-length graphics card with a silver metal cooler and a single blower fan

HPE

HP V100 graphics card 32 GB HBM2

SKU CH-EEY6-V9PQE MPN V100

Accelerates deep learning and HPC workloads with 32 GB HBM2 memory and thousands of CUDA cores

  • Chipset ManufacturerNVIDIA
  • GPUV100
  • Memory TypeHBM2
  • 32 GB HBM2 memory feeds massive datasets to the GPU
  • NVIDIA V100 chipset delivers thousands of CUDA cores for parallel compute
  • HBM2 bandwidth accelerates deep-learning training and HPC simulations
  • 16 GB alternative available for less memory-intensive workloads
  • HP-branded accelerator integrates with HPE ProLiant server families

32 GB HBM2 accelerator for HPC and deep learning

The HP V100 is a compute-focused graphics card built on the NVIDIA V100 GPU with 32 GB of HBM2 memory. It targets data-centre workloads such as deep learning training, high-performance computing simulations and scientific visualisation. Thousands of CUDA cores divide large tasks into concurrent threads for faster results. This card is designed for integration with select HPE ProLiant server families.

Replaces CPU-only compute for large models

Traditional CPU platforms can no longer keep pace with growing computational and graphics demands from complex models. The V100 delivers dramatically higher application acceleration for deep learning, scientific and commercial workloads. The jump is worth it when simulation turnaround or graphics fidelity for demanding 3D models becomes a bottleneck. Buyers who need only basic display output or light inference should look elsewhere.

Limited by HBM2 capacity and server compatibility

The 32 GB HBM2 frame buffer sets a hard ceiling on model size and batch dimensions that can reside in GPU memory. Workloads exceeding this capacity must spill to system memory, reducing throughput. Deployment is restricted to qualified HPE ProLiant server configurations; the card cannot be used in standard desktop chassis or non-certified platforms. Power and thermal budgets must also align with the target server specification.

Points forts

  • 32 GB HBM2 memory feeds massive datasets to the GPU
  • NVIDIA V100 chipset delivers thousands of CUDA cores for parallel compute
  • HBM2 bandwidth accelerates deep-learning training and HPC simulations
  • 16 GB alternative available for less memory-intensive workloads
  • HP-branded accelerator integrates with HPE ProLiant server families

Caractéristiques

BrandHPE
Chipset ManufacturerNVIDIA
GPUV100
Memory TypeHBM2

Questions sur cet article

What server form factor does the V100 FHHL accelerator fit?

The V100 FHHL model is a full-height half-length card designed for standard PCIe slots in HPE ProLiant servers.

Which power connectors must be attached during installation?

The card requires auxiliary PCIe power cables from the server PSU; forgetting to seat both connectors is the most common error.

When should the 32 GB HBM2 module be considered for replacement?

HBM2 memory is soldered to the GPU package, so the entire accelerator is replaced if memory errors appear in diagnostic logs.

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