Ruixiang Zhang (@onloglogn) on X

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1 min read Original article β†—

@onloglogn

Introducing RSI-Inference Bench from 🍎 Apple ML Research 🌐 rsi-inference.com πŸ’» github.com/apple-aiml-res… Can AI agents improve the systems that run AI? We spent $100K API tokens, 50K GPU hours to find out. We built environments and benchmark from real-world #vLLM and #SGLang tasks, covering the full lifecycle of model inference engineering: πŸš€ Day-0 Model Support ⚑ Inference Optimization πŸ”§ Bug Fix β†’ Unsaturated: best agent at 26.7% pass@1 β†’ Comprehensive coverage of the inference stack β†’ Verifiable rewards: binary and continuous Watch the video to find out more!