Ollama vs SGLang
A side-by-side comparison of two self-hosted apps from related categories — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Ollama
Run large language models locally with a simple CLI and API
VS
SGLang
Fast serving framework for LLMs and vision-language models
| Feature | Ollama | SGLang |
|---|---|---|
| Category | Local LLM Runners | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | Go | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | docker, binary, bare-metal | docker, kubernetes, bare-metal |
| GitHub stars | ★ 178,027 | ★ 31,514 |
| First released | 2023 | 2024 |
| Replaces | ChatGPT, OpenAI API | OpenAI API |
Why pick each one
Choose SGLang if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 31.5k GitHub stars
Frequently asked questions
Is Ollama or SGLang better?
Ollama is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider SGLang if its specific feature set fits your needs better.
Are Ollama and SGLang free and open-source?
Yes. Ollama is licensed under MIT and SGLang under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Ollama and SGLang with Docker?
Ollama: yes. SGLang: yes.