nvidia/SPEED-Bench

📒 Blog | 📄 Paper | 🤗 Data | ⚙️ Measurement Framework SPEED-Bench (SPEculative Evaluation Dataset) is a unified benchmark designed to evaluate speculative decoding (SD) across diverse semantic domains and realistic serving regimes, using production-grade inference engines. It measures both acceptance-rate characteristics and end-to-end throughput, enabling fair, reproducible, and robust comparisons between SD strategies. SPEED-Bench introduces a benchmarking ecosystem for… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/SPEED-Bench.

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