Tesla V100 SXM2 32GB
Data CenterVolta-generation data center GPU with 32 GB HBM2 and Tensor Cores for AI training and inference.
Key Specifications
VRAM
32 GB HBM2
Memory Bus
4,096-bit
FP16
31.3 TFLOPS
FP32
15.7 TFLOPS
TDP
250 W
Best Use Cases
Deep Learning Training
Train neural networks with Tensor Cores and 32 GB HBM2 memory.
Recommended Models
- ResNet-50
- BERT-Base
- GPT-2
Scientific Computing
Accelerate molecular dynamics, genomics, and physics simulations.
Inference Serving
Deploy production inference pipelines with high throughput.
Recommended Models
- BERT-Large
- GPT-2
- T5-Base
