rlops/rlix
A control plane for concurrent LLM RL on shared GPUs
This helps AI researchers and machine learning engineers run more reinforcement learning experiments efficiently. It takes your existing RL training jobs and intelligently shares GPU resources across them, allowing multiple experiments to run concurrently. The output is faster experiment iteration and better utilization of your costly GPU infrastructure.
202 stars.
Use this if you are a machine learning researcher or engineer running numerous reinforcement learning experiments and frequently find your jobs waiting for available GPUs.
Not ideal if you are working on machine learning tasks that do not involve reinforcement learning or if you have ample, unconstrained GPU access.
Stars
202
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
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