Introducing JetSpec: we find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting. JetSpec reaches up to 9.64x end-to-end speedup on MATH-500 and 4.58x on open-ended chat while keeping lossless. With CUDA graph and kernel optimizations, JetSpec further translates to around 1000 TPS on a single B200. ⚡️ Check out our project page for demos and a blog post on how we built it 👇 https://t.co/M4T8jOBWQ8 https://t.co/h9uipDbTuh