AI Infrastructure · GitHub ·4,032 ★

FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) i

Details

Author
FedML-AI
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
4,032
First indexed
2026-05-15
Last active
2025-10-28
Directory sync
2026-05-15

Overview

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) i

Quick start

git

git clone https://github.com/FedML-AI/FedML

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What FedML can do

  • Inference — inference task automation.

Frequently asked questions

What is FedML?
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) i
How do I install FedML?
Use git: `git clone https://github.com/FedML-AI/FedML`. Full setup details on the source page linked above.
Is FedML open source?
FedML is published on GitHub.
What are alternatives to FedML?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for FedML is sourced from GitHub, published by FedML-AI.

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