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GPU-Optimized PyTorch Builds Made Easy with Flox and Nix

flox.dev · published 16 March 2026

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https://developer.nvidia.com/cuda

developer.nvidia.com

https://github.com/pytorch/pytorch

github.com

https://icl.utk.edu/magma/

icl.utk.edu

https://onnxruntime.ai/

onnxruntime.ai

https://github.com/NixOS/nixpkgs

github.com

https://github.com/flox/gpu-specific-pytorch-2.9.1/

github.com

https://github.com/flox/pytorch-cuda

github.com

https://github.com/flox/onnx-runtime

github.com

https://github.com/flox/magma

github.com

https://github.com/flox/vllm

github.com

https://github.com/flox/llamacpp

github.com

https://github.com/flox/flox-cuda

github.com

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Kubernetes, Uncontained: Unlocking Faster, More Reproducible Deployments on K8s Read at the source ↗

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hub.flox.dev

https://hub.flox.dev/floxrox/vllm-runtime

hub.flox.dev

https://hub.flox.dev/floxrox/llamacpp-runtime

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https://flox.dev/cuda-kickstart

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https://hub.flox.dev

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