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How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF

Hugging Face Daily Papers ↗ · 2026-07-22 Cached

This paper presents a systems study comparing C++ and PyTorch inference runtimes for reward model scoring in RLHF pipelines, finding that ONNXRuntime provides speedups on CPU while torch.compile leads on GPU, with batching strategy mattering more than language or runtime.

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