vLLM Becomes the Rollout Engine for Molt
vllm_project · x · 2026-07-14
The official vLLM account noted that NVIDIA's NeMo team has adopted vLLM as the rollout engine for their new framework, Molt.
Key points:
- Molt is an agentic-first, PyTorch-native reinforcement learning framework.
- Its RL core is kept minimal and easy to modify, delegating rollout to the upper-layer vLLM (running on Ray).
- This enables high-speed asynchronous serving, scaling up to 1T-level MoE models.
- The original post also highlights that Molt's RL codebase is around 9K lines and is designed for 700B models.
The main takeaway is that leveraging a mature inference stack for rollouts keeps the RL framework itself lightweight, making it easier to study and modify.
Related event: NVIDIA Introduces Molt: A Pure PyTorch RL Framework(3 posts)→
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