Aphrodite Engine vs LMDeploy
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Aphrodite Engine | LMDeploy |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 85 · Excellent | 92 · Excellent |
| Category | Local LLM Runners | Local LLM Runners |
| License | AGPL-3.0 | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Hard | Hard |
| Min. RAM | 8,192 MB | 16,384 MB |
| Deployment | docker, source | docker, source |
| GitHub stars | ★ 1,866 | ★ 8,097 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | OpenAI API, Hugging Face Inference Endpoints |
What are Aphrodite Engine and LMDeploy?
Aphrodite Engine
Aphrodite Engine is the official backend serving engine for PygmalionAI, optimized for high-throughput LLM inference. It exposes an OpenAI-compatible API and supports a wide range of quantization formats.
- High-throughput batching
- OpenAI-compatible endpoints
- Many quantization formats
- Continuous batching
LMDeploy
LMDeploy is an inference and serving toolkit from the OpenMMLab ecosystem for deploying large language models efficiently. It offers quantization, a high-throughput serving engine, and an OpenAI-compatible API.
- High-throughput inference engine
- Weight quantization support
- OpenAI-compatible serving
- Multi-GPU deployment
Aphrodite Engine vs LMDeploy: key differences
Both projects are written in Python. Licensing differs — AGPL-3.0 for Aphrodite Engine versus Apache-2.0 for LMDeploy. Aphrodite Engine is the lighter option, starting around 8,192 MB of RAM against 16,384 MB for LMDeploy. LMDeploy has the considerably larger community, at 8,097 GitHub stars versus 1,866.
Why pick each one
Choose Aphrodite Engine if…
- Released under the AGPL-3.0 license
- First-class Docker support for quick deployment
- Active community (1.9k GitHub stars)
- Written in Python
Choose LMDeploy if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 8.1k GitHub stars
- Written in Python
Frequently asked questions
Is Aphrodite Engine or LMDeploy better?
Neither is universally better. LMDeploy has the larger community; both share a hard setup difficulty, so the decision comes down to features and licensing.
Are Aphrodite Engine and LMDeploy free and open-source?
Yes. Aphrodite Engine is licensed under AGPL-3.0 and LMDeploy under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Aphrodite Engine and LMDeploy with Docker?
Aphrodite Engine: yes. LMDeploy: yes.
Which is lighter on resources, Aphrodite Engine or LMDeploy?
Aphrodite Engine has the smaller minimum footprint at 8,192 MB of RAM, compared to about 16,384 MB for LMDeploy. Real-world usage depends on library size, user count, and enabled features.