chore: upgrade cuda 12.8 for pytorch 2.8#218
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PyTorch 2.8 dropped CUDA 11.x support, causing install_torch() to fail with HTTP 403 when downloading libtorch cu117 binaries. Upgrade the full GPU stack: CUDA 12.8.1, cuDNN 9.8, NCCL 2.25, TF 2.18 (CUDA 12.x compat, GPU bundled since TF 2.15). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The rstats base image is Ubuntu 22.04 (Jammy, libc6 2.35). The NCCL packages from the ubuntu2404 CUDA repo require libc6 >= 2.38, causing apt dependency failures. Use the ubuntu2204 CUDA repo instead. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…yout The nvidia/cuda 12.x images use cuda-ubuntu2204-x86_64.list (not cuda.list) and store the GPG key at /usr/share/keyrings/ (not /etc/apt/trusted.gpg). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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