once a PyTorch tensor is called, it’s passed to the DirectML kernel. This calls into the DirectML back end, which constructs the GPGPU operators, allocates GPU memory, and sets up a queue to ...

Overall, PyTorch is one of a handful of top-tier frameworks for deep neural networks with GPU support. You can use it for model development and production, you can run it on-premises or in the ...

For containerization and support for Kubernetes, NVIDIA is adding the combination of GPU operator and Network ... and tools such as TensorFlow, PyTorch, NVIDIA TLT 3.0 and RAPIDS.

In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...