Speculative Decoding Trend 2026

Speculative decoding accelerates large language model inference by using a small draft model to propose token sequences, which the larger model then verifies in parallel. This technique slashes latency and computational costs without compromising output quality. AI engineers, researchers, and developers deploying LLMs for real-time applications—like chatbots or code assistants—benefit most, enabling faster responses and reduced GPU expenses.