PyTorch

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Rgpu lets PyTorch tensors run on a remote GPU●Show HN: Rgpu – a PyTorch device whose tensors live on a remote GPUYhn Technology Semiconductors836 min ago
A developer has released Rgpu, an open-source tool that adds a PyTorch device type allowing tensors to live on a remote GPU rather than a local machine. The project, shared on Hacker News, aims to make it easier to run deep-learning workloads on hardware hosted elsewhere, drawing early interest from developers watching for simpler ways to use remote compute.

PSRben/VisionHOPE Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
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
NVIDIA/Model-Optimizer A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture se
General-Instinct/InstinctFlash High-Performance Serving Runtime for Robotics Models
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