SGLang v1.0 launches with Rust hot paths and speculative decoding, adopted by 330+ organizations
AccBalanced · x · 2026-11-13
SGLang announced v1.0 at SGLang Summit, a high-performance inference framework for LLMs and multimodal models built for production scale.
Key updates:
- Faster inference: zero-overhead scheduler, Rust rewrite of performance-critical paths, speculative decoding, and megakernels
- Better memory use: unified memory for hybrid models plus hierarchical caching so long agent histories stay reusable beyond GPU memory
- Flexible scaling: prefill/decode disaggregation and flexible parallelism
SGLang is now used by 330+ organizations with day-zero support for 217 models; detailed release notes are coming soon.
Related event: SGLang v1.0 Released with Rust Hot Paths, Adopted by 330+ Organizations(2 posts)→
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