@mingyilu123: SGLang now supports DSpark, and this is one of the more practical improvements to spec decoding I’ve seen
Summary
SGLang now integrates DSpark, a confidence-driven speculative decoding method that verifies only confident draft tokens, improving inference efficiency under load.
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Cached at: 07/06/26, 10:22 PM
SGLang now supports DSpark, and this is one of the more practical improvements to spec decoding I’ve seen👍
LMSYS Org (@lmsysorg): SGLang now supports DSpark, enabling confidence-driven, variable-length verification for speculative decoding 🎉
DSpark addresses a key bottleneck under load: instead of verifying every draft token, it verifies only where the draft model is confident, so the gains hold even as
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