The NVIDIA P100 is well-supported by major ML frameworks:
- TensorFlow
- PyTorch
- MXNet
- ONNX Runtime
- Caffe/Caffe2
| import torch | |
| def optimize_model_for_p100(model, use_amp=True): | |
| # Move model to GPU | |
| model = model.cuda() | |
| # Use FP16 precision (P100 supports this, but without Tensor Cores) | |
| if use_amp: | |
| model = model.half() | |