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Nvidia V100-32G Overview
The NVIDIA V100-32G is an elite GPU designed for AI, deep learning, and HPC, providing unmatched computational power in extensive data center environments. This product is ideal for engineers and IT specialists who require rapid processing speeds and high performance for large-scale neural networks and advanced simulations.
NVIDIA V100-32G Product Highlights
- 32 GB HBM2 memory
- Turing architecture
- 5,120 CUDA cores
- Tensor Cores inclusion
- High bandwidth
Product Features Comparison
| Feature | NVIDIA V100-32G | NVIDIA V100-16G | NVIDIA A100 | AMD Radeon Pro VII | Tesla P100 | Quadro RTX 8000 | Quadro GP100 |
|---|---|---|---|---|---|---|---|
| GPU Architecture | Volta | Volta | Ampere | Vega | Pascal | Turing | Pascal |
| Memory Size | 32 GB | 16 GB | 40 GB | 16 GB | 16 GB | 48 GB | 16 GB |
| CUDA Cores | 5,120 | 5,120 | 6,912 | 3,840 | 3,584 | 4,608 | 3,584 |
| TDP | 300W | 300W | 400W | 250W | 250W | 260W | 235W |
| Tensor Cores | Yes | Yes | Yes | No | No | No | Yes |
NVIDIA V100-32G Product Application Scenarios
- Large-scale deep learning training
- High-Performance Computing tasks
- AI data analysis
Optional Add-ons
| Accessory Model | Description |
|---|---|
| NVLink | High-speed GPU interconnect |
| Quadro Sync II | Synchronizes multiple GPUs |
| Riser Cable | Extended PCIe connection |
