EfficientMoE/MoE-Infinity
PyTorch library for cost-effective, fast and easy serving of MoE models.
- Stars
- 373
- Forks
- 46
- Open issues
- 6
- Last push
- today
About MoE-Infinity
MoE-Infinity is a free, open-source AI inference tool by EfficientMoE, written mainly in Python. PyTorch library for cost-effective, fast and easy serving of MoE models. It has 373 GitHub stars and 46 forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 373
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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MoE-Infinity FAQ
Is MoE-Infinity free?
Yes. MoE-Infinity is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does MoE-Infinity run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does MoE-Infinity need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is MoE-Infinity still maintained?
Yes. It was last updated today and has 6 open issues on GitHub.
What are alternatives to MoE-Infinity?
Similar free, open-source tools include vllm, TensorRT-LLM, BentoML, PowerInfer.