Q9U36C HPE NVIDIA Tesla V100 Graphics Card Review
V100 PCIe 32GB Computational Accelerator
This Q9U36C HPE NVIDIA Tesla V100 Graphics Card 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.
Q9U36C Technical Specifications:
| Manufacturer | HPE |
| Part Number | Q9U36C |
| Product Type | Desktop Graphics Card |
| Chipset Manufacturer | NVIDIA |
| Chipset Line | Tesla |
| Chipset Model | V100 |
| Memory Size | 32GB |
| Type of Memory | HBM 2 |
| Data-Width of Memory | 900 GB/s |
| Card Interface | PCI Express 3.0 x16 |
| Form Factor | Plug in Card |
| Connectors/Ports | DisplayPort, HDMI |
Q9U36C Key Features:
- Compute Bound HPC
- Deep Learning Training
- Memory Capacity-Bound HPC
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