Aphrodite Engine 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.
Not the right match-up?
Aphrodite Engine
High-throughput inference engine for large language models
VS
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | Aphrodite Engine | vLLM |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | AGPL-3.0 | Apache-2.0 |
| Language | C++ | Python |
| Setup difficulty | Hard | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | docker, source | docker, kubernetes, bare-metal |
| GitHub stars | ★ 1,824 | ★ 88,482 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API |
Why pick each one
Choose Aphrodite Engine if…
- Released under the AGPL-3.0 license
- First-class Docker support for quick deployment
- Active community (1.8k GitHub stars)
- Written in C++
Choose vLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 88.5k GitHub stars
Frequently asked questions
Is Aphrodite Engine or vLLM better?
Neither is universally better. vLLM has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are Aphrodite Engine and vLLM free and open-source?
Yes. Aphrodite Engine is licensed under AGPL-3.0 and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Aphrodite Engine and vLLM with Docker?
Aphrodite Engine: yes. vLLM: yes.