zejia-lin/BulletServe
Boosting GPU utilization for LLM serving via dynamic spatial-temporal prefill & decode orchestration
- Stars
- 56
- Forks
- 11
- Open issues
- 3
- Last push
- 1mo ago
BulletServe star history
+2 this week
About BulletServe
BulletServe is a free, open-source AI inference tool by zejia-lin, written mainly in Python. Boosting GPU utilization for LLM serving via dynamic spatial-temporal prefill & decode orchestration. It has 56 GitHub stars and 11 forks, and was last updated 1mo ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- Apache-2.0
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 56
- Last update
- 1mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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BulletServe FAQ
Can I use BulletServe commercially?
Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is BulletServe free?
Yes. BulletServe is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does BulletServe run on a Mac?
Yes. According to the project, BulletServe works on macOS.
Does BulletServe need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is BulletServe still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to BulletServe?
Similar free, open-source tools include llm-action, vllm, sglang, TensorRT-LLM.
Maintain BulletServe?
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