vLLM Speculative Decoding 2026: EAGLE-3 Hands-On Guide
Cut vLLM speculative decoding latency and GPU waste in 2026 with this hands-on EAGLE-3 guide: setup, tuning, and real throughput benchmarks.
Chapter 1: Why Speculative Decoding Matters in 2026: The Self-Hosted Inference Cost Crisis If you run your own LLM inference in 2026, you have almost certainly had this conversation with your finance team: "Why does one H100 cost more per month than three senior engineers' laptops, and why can't it serve more than a few dozen concurrent users at acceptable latency?" The honest answer is uncomfortable. You bought a machine capable of roughly a thousand teraflops of dense compute, and during token generation you are using somewhere between one and five percent of it. The rest is idling while the...