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Headlines · 2
- Moore Threads Open-Sources Megatron-MUSA-Titan for Large-Scale MoE Training
Moore Threads announced the open-sourcing of Megatron-MUSA-Titan, a large-model training infrastructure project adapted for the company’s MUSA platform and full-function GPUs. IT之家 reported that it targets trillion-parameter MoE pretraining and reinforcement learning on clusters with 10,000 GPUs. The project supports blockwise FP8 training and can work with the DeepEP and ACE asynchronous communication engines to overlap expert parallelism and computation. Moore Threads said the project had been used in continued trillion-parameter MoE pretraining on its 10,000-GPU-scale cluster and supports coordination with slime and miles, Megatron training, and SGLang sample generation. Its reported model FLOPS utilization and long-running stability were not independently verified in the supplied reports.
IT之家 AI · 🔥 0 - Modal launches Modal Dojo, a library for production-grade LLM training
Modal announced Modal Dojo, a library it says provides the building blocks, tuned defaults and observability needed for production-grade LLM training, and said it is available now. The library builds on open-source frameworks Miles and Slime, to which Modal says it has contributed upstream patches, and ships an out-of-box observability dashboard covering loss and reward curves, rollout trajectories and substep profiling. Modal also says training can be started from a single prompt describing the model, dataset and target agent, and cites customer testimonials from Axiom Bio and Afterquery about long-context reinforcement-learning runs.
Modal Blog · 🔥 0
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