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AMD Software: PyTorch on Windows Edition 7.2.1 Release Notes Article Number: RN-AMDGPU-WINDOWS-PYTORCH-7-2-1 Release Date: March 26 th , 2026 AMD is pleased to provide an update for PyTorch on Windows, bringing high-performance machine learning capabilities to a broader range of developers. …
… This momentum continues throughout 2026, with AMD participating in: PyTorch Conference China Sep 8-9, Shanghai PyTorch Conference Oct 20-21, San Jose For those who couldn’t attend in person, selected content will be available on the PyTorch YouTube Channel . …
Python PyTorch with AOCL EULA 5.3 By clicking Accept , you agree to abide by the terms and conditions set forth in the end-user license agreement. …
… Enviornment Setup MI355X Hardware and Software Hardware: Item Detail GPU AMD Instinct MI355X × 8 single card used Architecture CDNA 4 gfx950 VRAM per card 288 GB HBM3e Host ROCm 7.2.1 Software: Software Version Docker image rocm/pytorch:rocm7.2.1 ubuntu24.04 py3.12 pytorch release 2.9.1 PyTorch 2.9… …
… ZenDNN User Guide ZenDNN Support Matrix Documentation ZenDNN Library: https://github.com/amd/ZenDNN ZenDNN Plugin for PyTorch: https://github.com/amd/ZenDNN-pytorch-plugin ZenDNN Plugin for TensorFlow: https://github.com/amd/ZenDNN-tensorflow-plugin Blogs and Media AMD ZenDNN Explained: AI Inferenc… …
… PyTorch AMD is aligning with the PyTorch Foundation on the value of an open software ecosystem for AI and is driving ROCm support for PyTorch. …
… PyTorch | TensorFlow | JAX Expanding open-source footprint and support across major frameworks. …
… NumPy with AOCL SciPy with AOCL PyTorch with AOCL NumExpr with AOCL SciPy Sparse Extension with AOCL Highlights of release 5.3 on AMD Zen CPU Architecture Enhanced PyTorch performance with AOCL Improved NumPy and SciPy performance with AOCL New Python Package: NumExpr with AOCL-LibM SciPy Sparse Ex… …
… Learn More about Ryzen AI Software Image Zoom Development Flow Developing AI applications for Ryzen AI can be summarized in 3 easy steps: Start with a Pre-trained Model Use a pre-trained model in PyTorch or TensorFlow as your starting point. …