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⬢github C++ · 64 ★ +51 since we first saw it · pushed 1 d ago · Apache-2.0

ymcrcat/rgpu

Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation.

Rgpu lets your Python/PyTorch code stay on your laptop while tensors and GPU operations execute on a remote NVIDIA machine. It offers a custom 'rgpu' PyTorch device that sends ops over TCP via SSH tunneling, plus a CUDA shim (libcuda, cuBLAS, cuDNN) so unmodified Linux CUDA binaries can also run against the remote GPU — useful for Macs without CUDA.

Why now: It was featured in a Show HN post presenting the PyTorch remote-device demo, drawing attention to using remote GPUs from CUDA-less machines like Macs.

Who it is for: Developers and ML practitioners who want to run PyTorch or CUDA workloads on a remote NVIDIA GPU from a local machine (e.g., a Mac) without local CUDA.

pytorchcudaremote-gpumachine-learningapple-siliconc++

apple-siliconcudadeep-learninggpugpu-computingmachine-learningmlpytorchremote-gpu

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