Fast, distributed ML scaling on Windows. Connect computers over Ethernet, Wi-Fi, USB-C, or Thunderbolt.
Project description
exowindows
Fast, distributed ML scaling on Windows. Seamlessly connect machines via Ethernet, USB-C, or Thunderbolt, and run distributed PyTorch training/inference and Ollama LLMs with automatic hardware detection, heterogeneous partitioning, and speedup alerts.
Installation
pip install exowindows
Features
- Distributed Compute & RAM speed filtering: Automatically runs across local and remote GPUs, CPU, and RAM, with a 3200MHz RAM speed constraint to filter out slow devices.
- Ollama CLI Integration: Run
exowindows ollama run llama3.1to scan for connected worker machines, see performance suggestions, and run distributed inference. - PyTorch Hook: Integrates with PyTorch training to auto-detect optimal cluster nodes and show speedup recommendations.
- Easy Worker Join: Run
exowindows-node jointo connect workers.
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