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Show HN: Rgpu – a PyTorch device whose tensors live on a remote GPU

Quality: 7/10 Relevance: 8/10

Summary

rgpu enables PyTorch operations to run on a remote NVIDIA GPU while the client stays on the local machine. It offers two integration paths: a PyTorch device for tensor operations over TCP and a CUDA shim for existing CUDA binaries. The repository includes documentation, quickstart guides, and a growing set of examples and tests, with licensing under Apache 2.0.

🚀 Service construit par Johan Denoyer