Prime Intellect Releases prime-rl 0.6.0 for Trillion-Parameter MoE Training
Decision Brief
What changedPrime Intellect released prime-rl 0.6.0, an open-source framework for async reinforcement learning on trillion-parameter mixture-of-experts models.
Why it mattersThis framework provides an open-source solution for large-scale RL training, enabling AI builders to efficiently train high-performance agent models.
Who should careOpen-source model users
Affected stackGLM
Builder actionEvaluate
Source confidenceMedium · Reliable media or first-hand reporting
Prime Intellect released prime-rl 0.6.0, an open-source asynchronous RL framework for trillion-parameter mixture-of-experts (MoE) models. It trained GLM-5 on 28 H200 nodes for SWE tasks, achieving 131k sequence length, under 5-min step time, and supporting 256 rollouts. Key optimizations include FP8 inference, wide expert parallelism, prefill/decode separation, router replay, and 3-D parallelism (FSDP, EP, CP).
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Sources
- MarkTechPost
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- MarkTechPost