Using uv with PyTorch (via) PyTorch is a notoriously tricky piece of Python software to install, due to the need to provide separate wheels for different combinations of Python version and GPU accelerator (e.g. different CUDA versions).
uv now has dedicated documentation for PyTorch which I'm finding really useful - it clearly explains the challenge and then shows exactly how to configure a pyproject.toml such that uv knows which version of each package it should install from where.
Recent articles
- Highlights from my appearance on the Data Renegades podcast with CL Kao and Dori Wilson - 26th November 2025
- Claude Opus 4.5, and why evaluating new LLMs is increasingly difficult - 24th November 2025
- sqlite-utils 4.0a1 has several (minor) backwards incompatible changes - 24th November 2025