GradientHQ / parallax
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
Why this job: says: model serving; topics: llm-serving, llama
What it does
A fully decentralized inference engine developed by Gradient. Parallax lets you build your own AI cluster for model inference onto a set of distributed nodes despite their varying configuration and physical location. Its core features include:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 1,423
- +6 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.2
- Released 11 months ago
- Built with
- Python
- 74% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 84% closed
- 20 still open
- Pull requests
- 312 merged
- 3 waiting
- Releases
- 4
- 3 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| vllm-project / vllm | 96,588 | today | Apache-2.0 | Mac, Linux |
| lightseekorg / tokenspeed | 2,895 | today | MIT | No downloads |
| xorbitsai / inference | 9,647 | yesterday | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 74%
- TypeScript 10%
- Metal 8%
- C++ 5%
Topics
- blackwell
- chatbot
- decentralized-inference
- deepseek
- distributed-systems
- glm
- kimi
- large-language-models
- llama
- llm
- llm-serving
- minimax
Project record
- JobLocal LLMs
- StatusListed
- Commits459
- Forks152
- Watching28
- Stars in 28 days+27
- CreatedSep 22, 2025
- First seen by usNov 7, 2026
- CheckedNov 7, 2026