Back to AIBriefs
AnalysisAI Models

JetSpec achieves up to 9.64x LLM inference speedup via parallel tree drafting

JetSpec achieves up to 9.64x LLM inference speedup via parallel tree draftingView on Reddit

JetSpec speculative decoding method achieves 9.64x speedup on MATH-500 and 4.58x on open-ended chat while maintaining lossless accuracy. It uses causal parallel tree drafting and CUDA graph optimization to exceed 1000 tokens per second.

·
Jun 25, 9:55 PM
JetSpec achieves up to 9.64x LLM inference speedup via parallel tree drafting — AIBriefs