speculative decoding
2 published articles
LLMs & Models3 min read
Systems optimization
DSpark shows why fast AI inference is a scheduling problem, not a model trick
DeepSeek's DSpark paper reveals that naive speculative decoding degrades throughput under high concurrency. Its solution, confidence-scheduled verification, adapts block length per request and shifts the Pareto frontier of serving performance.
2026-07-12
DeepSeek-V3Featured4 min read
Semi-autoregressive speculative decoding hits production
DeepSeek's DSpark just fixed the two things that held back faster AI inference
A new speculative decoding framework from DeepSeek tackles the two bottlenecks that have limited parallel drafters: suffix decay and wasteful verification. DSpark achieves 60–85% faster generation speeds in production by coupling a semi-autoregressive architecture with a confidence-scheduled scheduler that prunes low-value tokens before the target model verifies them.
2026-07-08