Runtime comparison
SGLang vs TabbyAPI
SGLang is a Apache-2.0-licensed runtime for Linux running on CUDA · ROCm; TabbyAPI is AGPL-3.0-licensed for Linux · Windows on CUDA · ROCm. TabbyAPI rates easier to set up (3/5 vs 2/5 in our sourced ratings). Pick SGLang for serving many requests at once; pick TabbyAPI for serving many requests at once.
| Spec | SGLang | TabbyAPI |
|---|---|---|
| License | Apache-2.0 | AGPL-3.0 |
| Operating systems | Linux | Linux · Windows |
| GPU backends | CUDA · ROCm | CUDA · ROCm |
| Install | pip / source | source |
| Ease of use | 2/5 | 3/5 |
| Quant formats | awq, gptq | exl2 |
| Engine | sglang | exllamav2 |
| GitHub stars | 30,090 | 1,273 |
| Latest version | 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?
SGLang
Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.
Full SGLang guide →TabbyAPI
Best for serving many requests at once. Command line and server, runs on CUDA · ROCm.
Full TabbyAPI guide →Neither runtime changes whether a model fits — that is your memory and quantization. Check your hardware first, then pick the runtime.
Sources: SGLang github.com/sgl-project/sglang (as of 2026-07-08); TabbyAPI github.com/theroyallab/tabbyAPI (as of 2026-07-08).