efeslab/Nanoflow
A throughput-oriented high-performance serving framework for LLMs
- Stars
- 977
- Forks
- 54
- Open issues
- 17
- Last push
- 6mo ago
About Nanoflow
Nanoflow is a free, open-source AI inference tool by efeslab, written mainly in Jupyter Notebook. A throughput-oriented high-performance serving framework for LLMs. It has 977 GitHub stars and 54 forks, and was last updated 6mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Jupyter Notebook
- Stars
- 977
- Last update
- 6mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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Nanoflow FAQ
Is Nanoflow free?
Yes. Nanoflow is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does Nanoflow run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Nanoflow need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Nanoflow still maintained?
It was last updated 6mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Nanoflow?
Similar free, open-source tools include vllm, TensorRT-LLM, BentoML, OpenLLM.