Elastic Communication

This chapter explains how RLinf enables communication between workers to support efficient, scalable, and elastic distributed execution.

• Adaptive P2P Communication

  Covers low-level, high-performance python object exchange between workers, using optimized point-to-point backends such as CUDA IPC and NCCL to reduce communication overhead.

• Channel Queuing for Pipelining

  Introduces a higher-level abstraction for asynchronous communication— the Channel—which functions as a producer-consumer queue. This abstraction is essential for implementing fine-grained pipelining across different RL stages.