What it does
Training the biggest AI models takes many powerful computers working together. Higgsfield manages those machines: it shares them between users, queues experiments and keeps training running if something fails.
It supports common methods for splitting huge models across machines, and it connects to GitHub so code changes are deployed and experiments launched automatically.
It needs Ubuntu servers with remote access. The makers say they have tested it on several cloud GPU providers.
Who it's for
Machine-learning engineers training large models on clusters of GPU servers.
Can I use it without coding?
Developers only. A Python framework and server tool for experienced engineers. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Runs on
- Linux, Server, Cloud
- Computer
- Made for servers or data centres
- API key
- Not needed
Try it
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (Apache-2.0): Permissive: free to use, change and share, including for business.
- More on staying safe
Where people are talking about it
- Higgsfield: Distributed LLM training and cluster management frameworkHacker News · Oct 2023