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PyTorch
Trends
- 1Rgpu lets PyTorch tensors live on remote GPUs●Show HN: Rgpu – a PyTorch device whose tensors live on a remote GPU
Developer ymcrcat released Rgpu, an open-source tool that adds a PyTorch device type storing tensors on a remote GPU, letting users run deep learning workloads on hardware they do not physically hold. The project, shared on Hacker News, drew attention from developers interested in cheaper or shared GPU access for machine learning without local hardware.
Repos
- PSRben/VisionHOPE Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
- ymcrcat/rgpu Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA i
- mizorewww/laya-mlx Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or c