No GPU left behind: Unlocking Efficiency with Co-located vLLM in TRL
TRL supports training LLMs using GRPO, an online learning algorithm recently introduced in the DeepSeekMath paper. In GRPO, the model learns from its own outputs: it generates responses during training, receives feedback, and uses that feedback to improve itself over time.
This makes generation a critical step in the training loop — and also a major bottleneck. To speed up generation, TRL integrates with vLLM. This combination lets you train powerful models more efficiently in GRPO setup. However, there’s a catch.