DeepSeek Proposes DSpark for High-Concurrency Inference
DeepSeek introduced DSpark, a speculative decoding method combining semi-autoregressive generation with confidence scheduling. Fully implemented in the SGLang framework, it solves performance degradation under high concurrency, significantly accelerating LLM inference.
2026-07-07 ~ 2026-07-08 · 4 related posts
- SGLang Adds Support for DSpark Variable-Length Speculative Decoding — ying11231 · 2026-07-07
- SGLang Fully Implements DeepSeek's DSpark Speculative Decoding — ying11231 · 2026-07-07
- DSpark Eliminates Slowdowns in High-Concurrency Speculative Decoding — ying11231 · 2026-07-07
- DeepSeek Proposes DSpark Speculative Decoding to Accelerate High-Concurrency Inference — deepseek-ai · 2026-07-08