Miles
A PyTorch-based model training and optimization tool that has been incorporated into the official PyTorch ecosystem.
Timeline (last 90 days)
The open-source training framework Miles supports scaling from a single GPU to hundreds of GPUs, is compatible with NVIDIA and AMD hardware, and provides day-one support for mainstream open-source models.
When working with large MoE models such as GLM 5.3 Flash, the Miles team adopted a fully asynchronous RL architecture in which inference and training run on separate GPU groups, with a fresh sandbox for each episode.
Nathan Lambert's new lab, Trillium, is positioned as a nonprofit open lab whose core work is building open-source RL environments for high-leverage tasks and publicly releasing the tooling and trajectories for RSI (recursive self-improvement).
The PyTorch ecosystem working group announced the addition of 10 new projects to the PyTorch Ecosystem Landscape: Perforated, AReaL, TorchJD, RLinf, Miles, SMG, FiftyOne, TokenSpeed, VisualTorch, and TorchSurv.
All Facts (4)
The open-source training framework Miles supports scaling from a single GPU to hundreds of GPUs, is compatible with NVIDIA and AMD hardware, and provides day-one support for mainstream open-source models.
50%UnverifiedWhen working with large MoE models such as GLM 5.3 Flash, the Miles team adopted a fully asynchronous RL architecture in which inference and training run on separate GPU groups, with a fresh sandbox for each episode.
50%UnverifiedNathan Lambert's new lab, Trillium, is positioned as a nonprofit open lab whose core work is building open-source RL environments for high-leverage tasks and publicly releasing the tooling and trajectories for RSI (recursive self-improvement).
50%UnverifiedThe PyTorch ecosystem working group announced the addition of 10 new projects to the PyTorch Ecosystem Landscape: Perforated, AReaL, TorchJD, RLinf, Miles, SMG, FiftyOne, TokenSpeed, VisualTorch, and TorchSurv.
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