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HPE NVIDIA Tesla V100S 32 GB High Bandwidth Memory 2 (HBM2)
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- NVIDIA Tesla V100S 32GB Computational Accelerator
SKU #: R4D73C
EAN #: 0190017435169
UNSPSC #: 43201401
Graphics processor | Tesla V100S |
---|---|
Graphics card memory type | High Bandwidth Memory 2 (HBM2) |
Interface type | PCI Express x16 3.0 |
Cooling type | Passive |
SKU | R4D73C |
EAN | 0190017435169 |
Manufacturer | HPE |
Availability | Out of Stock |
Processor | |
---|---|
Peak floating point performance (single precision) | 14000 Gflops |
Peak floating point performance (double precision) | 7000 Gflops |
Graphics processor family | NVIDIA |
CUDA cores | 5120 |
CUDA | Yes |
Graphics processor | Tesla V100S |
Memory | |
Discrete graphics card memory | 32 GB |
Memory bandwidth (max) | 1134 GB/s |
Graphics card memory type | High Bandwidth Memory 2 (HBM2) |
Ports & interfaces | |
Interface type | PCI Express x16 3.0 |
Video | |
CUDA cores | 5120 |
Design | |
---|---|
Cooling type | Passive |
Form factor | Full-Height/Full-Length (FH/FL) |
Power | |
Power consumption (max) | 250 W |
Technical details | |
Cooling type | Passive |
Form factor | Full-Height/Full-Length (FH/FL) |
Weight & dimensions | |
Weight | 1.22 kg |
Height | 111 mm |
Depth | 34.8 mm |
Length | 266.7 mm |
Do you require higher performance computation for deep learning, high-performance computing (HPC) workloads, or graphics?
Companies are facing greater computational and graphics requirements as large and complex computational models become more commonplace. Traditional CPU technology is no longer able to keep up with these increasing demands. NVIDIA® accelerators for HPE ProLiant servers seamlessly integrate GPU computing with select HPE server families. Designed for power-efficient, high-performance supercomputing, NVIDIA accelerators deliver dramatically higher application acceleration than a CPU-only approach for a range of deep learning, scientific, and commercial applications. The thousands of NVIDIA CUDA® cores of each accelerator allow it to divide large computing or graphics tasks into thousands of smaller tasks that can be run concurrently, thus enabling much faster simulations and improved graphics fidelity for extremely demanding 3D models.
Features
Increased Performance to Solve Problems Faster
- The NVIDIA accelerators for HPE ProLiant servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.
- Co-locating the NVIDIA Quadro® or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates.
- These GPUs are specifically designed to enable rich graphics in virtualized environments. Hewlett Packard Enterprise can satisfy NVIDIA GRID software via HPE Complete.
- NVIDIA accelerators can be configured and monitored by HPE Insight Cluster Management Utility (CMU). HPE Insight CMU monitors and displays GPU health and temperature, as well as installs and provisions the GPU drivers and CUDA software.
Companies are facing greater computational and graphics requirements as large and complex computational models become more commonplace. Traditional CPU technology is no longer able to keep up with these increasing demands. NVIDIA® accelerators for HPE ProLiant servers seamlessly integrate GPU computing with select HPE server families. Designed for power-efficient, high-performance supercomputing, NVIDIA accelerators deliver dramatically higher application acceleration than a CPU-only approach for a range of deep learning, scientific, and commercial applications. The thousands of NVIDIA CUDA® cores of each accelerator allow it to divide large computing or graphics tasks into thousands of smaller tasks that can be run concurrently, thus enabling much faster simulations and improved graphics fidelity for extremely demanding 3D models.
Features
Increased Performance to Solve Problems Faster
- The NVIDIA accelerators for HPE ProLiant servers improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.
- Co-locating the NVIDIA Quadro® or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates.
- These GPUs are specifically designed to enable rich graphics in virtualized environments. Hewlett Packard Enterprise can satisfy NVIDIA GRID software via HPE Complete.
- NVIDIA accelerators can be configured and monitored by HPE Insight Cluster Management Utility (CMU). HPE Insight CMU monitors and displays GPU health and temperature, as well as installs and provisions the GPU drivers and CUDA software.
Processor | |
---|---|
Peak floating point performance (single precision) | 14000 Gflops |
Peak floating point performance (double precision) | 7000 Gflops |
Graphics processor family | NVIDIA |
CUDA cores | 5120 |
CUDA | Yes |
Graphics processor | Tesla V100S |
Memory | |
Discrete graphics card memory | 32 GB |
Memory bandwidth (max) | 1134 GB/s |
Graphics card memory type | High Bandwidth Memory 2 (HBM2) |
Ports & interfaces | |
Interface type | PCI Express x16 3.0 |
Video | |
CUDA cores | 5120 |
Design | |
---|---|
Cooling type | Passive |
Form factor | Full-Height/Full-Length (FH/FL) |
Power | |
Power consumption (max) | 250 W |
Technical details | |
Cooling type | Passive |
Form factor | Full-Height/Full-Length (FH/FL) |
Weight & dimensions | |
Weight | 1.22 kg |
Height | 111 mm |
Depth | 34.8 mm |
Length | 266.7 mm |