C++ Inference Engine Accelerates RLHF Reward Model Scoring
July 21, 2026
A native C++ inference engine on ONNX Runtime achieves high accuracy compared to PyTorch while optimizing RLHF pipelines. The engine helps prevent reward model scoring from bottlenecking rollout generation by freeing up GPU/CPU resources.
HOW THIS AFFECTS YOU
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builderYou can reduce RLHF training bottlenecks by using specialized C++ engines for reward model scoring.
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researcherThis system study highlights how scoring efficiency impacts the entire RLHF training loop.