Scaling Agentic RL: High-Throughput Agentic Training with Tunix- Google Developers Blog

What this post added

Introduced Tunix, a post-training library for agentic Reinforcement Learning (RL) that addresses infrastructure bottlenecks in training LLM agents. Tunix features an asynchronous rollout engine to decouple TPU execution from host-side environment latency, and a barrier-free pipelining architecture for continuous data streaming to the trainer. It also provides lightweight, RL-specific observability for continuous monitoring of execution efficiency and composable agent and environment abstractions for simplified integration of custom and open-source environments.