The original headline is: "NVIDIA AI Releases Molt: A PyTorch-Native Agentic Reinforcement Learning Framework"

Short summary

NVIDIA has released Molt, a PyTorch-native agentic reinforcement learning framework comprising roughly 8.6K lines of RL code. It composes Ray, vLLM, and NeMo AutoModel around a single asynchronous loop, keeping agents as ordinary Python while preserving token-exact trajectories. Throughput is reported as statistically comparable to a Megatron-based stack, aiming to reduce the engineering cost of iterative RL algorithm modifications.

• •NVIDIA releases Molt, an 8.6K-line PyTorch-native agentic RL framework
• •Integrates Ray, vLLM, and NeMo AutoModel in one asynchronous loop
• •Throughput comparable to Megatron-based stacks with simpler algorithm iteration

Generated with AI, which can make mistakes.