SGLang Deep-Dive Blog Series Breaks Down KV Cache, Posts up to 15.5x Throughput Gains
BanghuaZ · x · 2026-10-23
An SGLang engineer released an interactive blog series deep-diving into KV Cache internals in SGLang, following a string of substantial optimization posts from the team.
- Unified Memory: 1.9x more prefixes retained, 37.9% less time returning requests
- HiCache: hybrid-model caching with up to 15.5x input throughput
- SGLang Omni: multi-stage omni-model serving with heterogeneous scheduling
- DeepSeek-V4.1 Flash: optimized from 35 to 873 tokens/s
- Breakable CUDA Graph (with Meta): 5x faster graph builds, 1.93x faster prefill
- Day-0 support for Kimi K3 and Step 5, plus RL framework integrations
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