Tracked topic
… UST injection into PyTorch The interoperability between PyTorch sparse tensors and nvmath-python enables developers to experiment with novel sparse storage schemes inside PyTorch models. …
… While developers have attempted to implement these operations directly in PyTorch over the years, the general-purpose design of PyTorch leaves performance on the table for the specialized spatial and force calculation operations required in atomistic simulation. …
… Download Nsight Deep Learning Designer Request Access to Nsight Deep Learning Designer 2026.1 Preview Nsight Deep Learning Designer 2026.1 adds support to import PyTorch models directly into NDLD as XDL models for easy editing and profiling, it also supports exporting XDL models back to PyTorch for… …
… AutoDeploy compiles off-the-shelf PyTorch models into inference-optimized graphs. …
… Example 1a: Convert PyTorch to FLARE Below is a concrete pattern you can apply to many scripts. …
… NeMo Automodel is a PyTorch-native training library that offers Day 0 Hugging Face support, enabling direct training on existing checkpoints without tedious model conversions. …
… Share a CuPy stream with PyTorch pytorch stream = torch.cuda.ExternalStream cupy stream Or import an external stream into CuPy cupy stream = cupy.cuda.Stream.from external pytorch stream Support has been added to ml dtypes.bfloat16 , which brings native reduced-precision computation to CuPy, a type… …
… Nsight Copilot for Visual Studio Code This video shows how to convert a simple PyTorch operation into an optimized CUDA kernel with Nsight Copilot. …
… NeMo AutoModel is a PyTorch Distributed native training library within NeMo Framework that provides high throughput training directly on the Hugging Face checkpoint without the need for conversion. …
… With NVIDIA Warp, Python developers can create accelerated, differentiable simulation workflows that drive ML pipelines in PyTorch, JAX, NVIDIA PhysicsNeMo , and NVIDIA Omniverse ™. …