higgsfield

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

machine-learning deep-learning distributed

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3.6k Stars

599 Forks

3.6k Watchers

Jupyter Notebook Language

apache-2.0 License

100 SrcLog Score

Cost to Build

$31.3K

Market Value

$119.3K

How is this calculated?

Growth over time

4 data points · 2025-04-01 → 2026-04-01

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What is the higgsfield-ai/higgsfield GitHub project? Description: "Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone higgsfield

Clone via HTTPS

git clone https://github.com/higgsfield-ai/higgsfield.git

Clone via SSH

[email protected]:higgsfield-ai/higgsfield.git

Download ZIP

Download master.zip

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