Runtime comparison
vLLM vs SGLang
vLLM is a Apache-2.0-licensed runtime for Linux running on CUDA · ROCm; SGLang is Apache-2.0-licensed for Linux on CUDA · ROCm. Both rate 2/5 for ease of setup. Pick vLLM for serving many requests at once; pick SGLang for serving many requests at once.
| Spec | vLLM | SGLang |
|---|---|---|
| License | Apache-2.0 | Apache-2.0 |
| Operating systems | Linux | Linux |
| GPU backends | CUDA · ROCm | CUDA · ROCm |
| Install | pip / source | pip / source |
| Ease of use | 2/5 | 2/5 |
| Quant formats | awq, gptq | awq, gptq |
| Engine | vllm | sglang |
| GitHub stars | 85,770 | 30,090 |
| Latest version | v0.24.0 | v0.5.14 |
| Graphical app (GUI) | No | No |
| Server mode | Yes | Yes |
| OpenAI-compatible API | Yes | Yes |
| CPU offload | No | No |
| Multi-GPU | Yes | Yes |
| Speculative decoding | Yes | Yes |
| LoRA support | Yes | Yes |
| KV-cache quantization | Yes | Yes |
Which should you use?
vLLM
Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.
Full vLLM guide →SGLang
Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.
Full SGLang guide →Neither runtime changes whether a model fits — that is your memory and quantization. Check your hardware first, then pick the runtime.
Sources: vLLM github.com/vllm-project/vllm (as of 2026-07-08); SGLang github.com/sgl-project/sglang (as of 2026-07-08).