SGLang
An open-source serving framework for fast inference of large language and multimodal models on NVIDIA, AMD, TPU and other hardware.
About SGLang
Serving open models at scale needs an engine that uses GPUs efficiently.
Who it’s for
- Teams self-hosting open models
- ML engineers running inference in production
When to consider it
Consider SGLang when you serve open models on your own hardware and need high throughput across many accelerators.
Tradeoffs & limitations
- Apache-2.0 licensed; you run it on your own GPUs or cloud.
SOTA overview · Documentation-based assessment · Sources & review method
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Sources & review method
Documentation-based assessment · Oct 3, 2026 · Prepared with AI assistance; not a hands-on benchmark.
Checked by SOTA · AI-assisted documentation review. Selection advice is our assessment; verify current requirements for your deployment.
Import history & original evidence
SGLang official website
An open-source serving framework for fast inference of large language and multimodal models on NVIDIA, AMD, TPU and other hardware.
Based on official pages and announcements checked on 2026-10-03. No hands-on test, performance benchmark or popularity ranking is claimed.