OpenLLM vs vLLM
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | OpenLLM | vLLM |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 81 · Excellent | 100 · Excellent |
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, bare-metal |
| GitHub stars | ★ 12,547 | ★ 92,565 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API |
What are OpenLLM and vLLM?
OpenLLM
OpenLLM lets developers run open-source large language models as OpenAI-compatible API endpoints with a single command. It is built on BentoML and supports streaming, quantization, and easy deployment.
- One-command model serving
- OpenAI-compatible API
- Built-in chat UI
- Cloud deployment via BentoML
vLLM
vLLM is a fast and memory-efficient inference and serving engine for large language models. Its PagedAttention algorithm delivers high throughput batching, and it exposes an OpenAI-compatible server for production deployments.
- PagedAttention memory management
- Continuous batching
- OpenAI-compatible server
- Tensor parallelism
OpenLLM vs vLLM: key differences
Both projects are written in Python. OpenLLM is the lighter option, starting around 8,192 MB of RAM against 16,384 MB for vLLM. VLLM has the considerably larger community, at 92,565 GitHub stars versus 12,547.
Why pick each one
Choose OpenLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 12.5k GitHub stars
Choose vLLM if…
- Excellent serving throughput
- OpenAI-compatible API
- Efficient GPU memory use
Watch out for
- GPU practically required
- Complex tuning options
Frequently asked questions
Is OpenLLM or vLLM better?
Neither is universally better. vLLM has the larger community, while OpenLLM is simpler to set up (medium difficulty). Choose based on the comparison table above and your own setup.
Are OpenLLM and vLLM free and open-source?
Yes. OpenLLM is licensed under Apache-2.0 and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run OpenLLM and vLLM with Docker?
OpenLLM: yes. vLLM: yes.
Which is lighter on resources, OpenLLM or vLLM?
OpenLLM has the smaller minimum footprint at 8,192 MB of RAM, compared to about 16,384 MB for vLLM. Real-world usage depends on library size, user count, and enabled features.