SGLang
Apache-2.0 high-throughput LLM and multimodal serving
AI Agents / Inference · Apache-2.0 · 37.3k
Reviewed 2026-10-13 · last push 2026-10-19 · repo checked 2026-10-19
What's Good
Apache-2.0 (sgl-project/sglang), release v0.5.21, hosted by the non-profit LMSYS. Free path: `docker pull lmsysorg/sglang:latest` or `uv pip install sglang`, then pick a launch command from the Cookbook for your model and hardware. Supports NVIDIA, AMD Instinct, Google TPU, Intel GPU/CPU, Apple Silicon via Metal/MLX and Huawei Ascend. Image and video generation (SGLang Diffusion) ships in the same package. Orchestrators such as llm-d, Ray Serve and NVIDIA Dynamo can run it as the engine. ★~37k.
The Catch
A GPU serving engine, not a laptop chat app — expect driver, CUDA/ROCm and multi-GPU ops, and you pay for the hardware. Install currently needs `--prerelease=allow`. Vs vLLM (same lane): both are open, OpenAI-compatible serving engines — benchmark your own model and traffic rather than trusting either side's charts. Vs llama.cpp: SGLang is for many concurrent users on accelerators; llama.cpp is for one machine.
Verdict
A top-tier open LLM serving engine beside vLLM — free software, the bill is GPUs; benchmark both on your workload.
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Related
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- vLLMApache-2.0 high-throughput LLM inference and serving engine
- KevApache-2.0 tiny Jev-like decision models you train and serve locally
- ReefApache-2.0 infra for continually self-improving agents
- MagnitudeApache-2.0 local inference desktop+CLI — consumer profiler for agents