NVIDIA explains how speculative decoding speeds up LLM inference
NVIDIA Developer · youtube · 2026-09-05
Maor Ashkenazi, research team lead at NVIDIA, explains speculative decoding: a draft model proposes tokens ahead of time, and the full model verifies or corrects them in parallel, speeding up language model inference without sacrificing output quality.
Related event: NVIDIA Shares Five Rules for Speculative Decoding to Speed Up LLM Inference(4 posts)→
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