FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters.
GraphPipe
GraphPipe provides a protocol and software for deploying machine learning models separately from their frameworks.

About GraphPipe
GraphPipe provides a protocol and software for deploying machine learning models separately from their frameworks.
GraphPipe is an online tool in our Model Serving & Inference collection, part of the AI & Machine Learning directory. It runs in your web browser, so there's nothing to install.
People usually find GraphPipe when they’re looking for machine learning, deployment, and model deployment.
Not quite what you need? Close alternatives include FedML, Kserve, and KFServing — compare them below.
GraphPipe at a glance
- Website
- oracle.github.io/graphpipe
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
GraphPipe alternatives
Tools and sites you could use instead, ranked by how closely they match.
Deploy generative and predictive AI models on Kubernetes with KServe’s distributed inference platform.
KServe provides distributed inference for generative and predictive AI models on Kubernetes.
PowerInfer supports serving large language models for local deployment and inference.
NVIDIA Triton Inference Server provides an inference solution for deploying models in cloud and edge environments.
Sonar provides large-scale inference for language models through the project hosted in this repository.
Popular in Model Serving & Inference
Well-known listings from the same topic.
GraphPipe FAQ
What is GraphPipe?
Can I use GraphPipe in my browser?
What is GraphPipe used for?
Is GraphPipe working?
What are the best alternatives to GraphPipe?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.












