GraphPipe provides a protocol and software for deploying machine learning models separately from their frameworks.
FedML
FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters.
About FedML
FedML (FEDML) is an open-source machine learning library hosted on GitHub for large-scale distributed training, model serving, and federated learning. It includes FEDML Launch, a cross-cloud scheduler that pairs AI jobs with GPU resources, auto-provisions them, and runs them across GPU clouds or on-premise clusters, including on-prem, private, and hybrid cloud deployments.
The repository also serves as the base for TensorOpera AI, a commercial generative AI platform. Several capabilities described on the page, such as Studio, Job Store, TensorOpera Deploy, Train, and Federate, are presented as part of that hosted platform rather than the open-source library alone.
Key features
- Distributed training of large and foundational models
- Model serving with high scalability and low latency
- Federated learning with on-device training on smartphones
- Cross-cloud scheduler auto-provisions jobs across GPU resources
- On-premise, private, and hybrid cluster management and deployment
- Includes Android, iOS, IoT, Python, devops, and research components
Best for: Developers and researchers who need to run distributed training, model serving, or federated learning across GPU clouds and on-premise clusters.
Good for
- Open source repository with contributing guidelines and a code of conduct
- Covers training, serving, and federated learning in one library
- Scheduler targets both cloud GPU resources and on-premise clusters
Watch out for
- Pricing for the associated hosted TensorOpera AI platform is not stated
- Studio, Job Store, Deploy, Train, and Federate are described as parts of the commercial TensorOpera AI platform
- Compute-intensive job types listed depend on GPU marketplace or cluster resources
FedML at a glance
- Website
- github.com/FedML-AI/FedML
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Good for
- Developers
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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FedML FAQ
What does FEDML Launch do?
It pairs AI jobs with GPU resources, auto-provisions them, and orchestrates the compute plane across different cluster topologies for training, deployment, or federated learning.
Where can FedML jobs run?
The README lists GPU clouds, on-premise clusters, private or hybrid clouds, edge servers, and smartphones via on-device training.
Is FedML open source?
Yes. FedML is a GitHub repository with a contributor covenant, contributing guidelines, and an open-source license file.
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