Product Model: Q2N66A
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The HPE NVIDIA Tesla V100 SXM2 16GB Module is a state-of-the-art server GPU designed for accelerating AI, deep learning, and high-performance computing (HPC) applications. As part of HPE’s server range, this powerful module delivers unprecedented computational power, making it an essential component for research laboratories, data centers, and enterprises aiming to leverage the capabilities of machine learning and AI for advanced analytics and problem-solving. The V100 SXM2 is tailored for those who seek to push the boundaries of innovation and efficiency in the computational landscape.
| Brand | HPE |
| Model Name | Q2N66A |
| Module Type | NVIDIA Tesla V100 SXM2 |
| Memory | 16GB |
| Compute Performance | 7.8 TeraFLOPS (double precision) |
Product Manual
- High-bandwidth, CoWoS (Chip-on-Wafer-on-Substrate) integrated HBM2 memory that provides up to 900 GB/s memory bandwidth.
- 640 Tensor Cores designed to accelerate deep learning performance.
- Volta architecture that offers the performance of up to 100 CPUs in a single GPU.
- NVLink technology enabling high-speed, direct GPU-to-GPU communications.
- Support for CUDA, OpenACC, and OpenCL programming models to facilitate development and deployment of complex models and simulations.
Product Applications
- Accelerating deep learning frameworks in computational research and academic institutions.
- High-Performance Computing (HPC) tasks in scientific simulations, data analytics, and engineering applications.
- AI-driven applications in healthcare for real-time data processing and predictive analytics.
| Compatible Servers | HPE ProLiant DL380 Gen10, HPE Apollo 6500 Gen10 |
| Add-on Cooling Solutions | Additional cooling kits specific to server model |
| Power Adapters | Specific adapters tailored for server integration |
| NVIDIA Tesla T4 | Significantly lower power consumption but less computational power |
| NVIDIA Quadro RTX 8000 | Geared towards graphical computations with larger memory but lower FLOPS |
| NVIDIA Tesla P100 | Previous generation with lower performance metrics across the board |
Get more information
If you are interested in learning more about the HPE NVIDIA Tesla V100 SXM2 16GB Module and how it can transform your computational tasks, contact us through Live Chat or email us at [email protected] for further information and pricing details.
Q2N66A Datasheet
Q2N66A Manual | |
| Brand | HPE |
| Product ID | NVIDIA Tesla V100 SXM2 16GB Module |
| Product Number | Q2N66A |
| Module Type | SXM2 |
| Memory | 16GB HBM2 |
| GPU | NVIDIA Tesla V100 |
| Memory Bandwidth | Up to 900 GB/s |
| NVIDIA CUDA Cores | 5120 |
| Performance | 14 TFLOPS (single-precision), 7 TFLOPS (double-precision) |
| Form Factor | SXM2 Module for Servers |
| Computational Capability | Volta Architecture |
| Interconnect Support | NVLink |
| TDP | 300W |
| Compatibility | HPE Servers |
| Use Case | High-Performance Computing, Deep Learning, Machine Learning, AI Research |
| Thermal Solution | Passive Heatsink |
| Interface | PCI Express Gen3 x16 |
| Manufacturer’s Warranty | Limited Warranty |
| Operating Systems Supported | Linux and Windows Server |
| API Support | CUDA, OpenCL, DirectCompute |
| Other Features | Volta-optimized Tensor Cores, NVLink Interconnection, High-Bandwidth Memory |