If you’ve ever installed an NVIDIA GPU-accelerated Python package, you’ve likely encountered a familiar dance: navigating to pytorch.org, jax.dev,…
If you’ve ever installed an NVIDIA GPU-accelerated Python package, you’ve likely encountered a familiar dance: navigating to pytorch.org, jax.dev, rapids.ai, or a similar site to find the artifact built for your NVIDIA CUDA version. You then copy a custom pip, uv, or other installer command with a special index URL or special package name such as . This isn’t just an inconvenience…
