Published

Announcing Flower's Collaboration with Red Hat

Photo of Chong Shen Ng
Chong Shen Ng
Research Engineer at Flower Labs
Photo of Tony James
Tony James
Chief Architect, Science and Space, Red Hat

Share this post

We're thrilled to share that Flower Labs is now collaborating with Red Hat, the world's leading provider of open source solutions, to strengthen our vision of open, scalable, and secure computing for AI and scientific research. This collaboration reflects a mutual goal: helping researchers, developers, and organizations build and deploy distributed AI systems that truly scale.

The collaboration formalizes what's already been possible. The Flower Framework runs smoothly on Red Hat OpenShift, the industry's leading hybrid cloud application platform powered by Kubernetes, and Red Hat OpenShift AI, enabling users to orchestrate and manage federated AI workloads within enterprise-grade, Kubernetes-native environments.

Deploying Flower on Red Hat OpenShift

You can deploy Flower directly within Red Hat OpenShift clusters to run federated AI workloads across multiple Red Hat OpenShift environments, all connected through Red Hat Service Interconnect. This setup enables distributed training and evaluation across diverse datasets while preserving data locality, privacy, and control.

Flower SuperLink and SuperNodes run as containerized services in Red Hat OpenShift, benefiting from built-in scaling, monitoring, and automation. Workloads can span several clusters, allowing teams to build multi-cluster federated AI systems without the complexity of managing individual environments.

To simplify deployment, official Flower containers are available on DockerHub. These containers are hardened and security-scanned, making them suitable for production-grade and enterprise use within Red Hat OpenShift and other Kubernetes-based systems.

Through Red Hat OpenShift AI, data scientists can interact with Flower deployments directly, launching, monitoring, and iterating on experiments without touching the underlying infrastructure. This optimization streamlines experimentation, shortens feedback loops, and makes large-scale federated AI accessible to open-source researchers and enterprise teams alike.

Get Started with Deployment

Two guides are available to help you get up and running:

  • A getting-started guide for deploying and running Flower in a single Red Hat OpenShift cluster.
  • A comprehensive guide for multi-cluster setups running federated workloads across Red Hat OpenShift clusters.

Both guides walk you through configuration, orchestration, and running Flower apps on Red Hat OpenShift, whether you're experimenting locally or scaling to production.

Learn More

Follow along with our comprehensive 3-part tutorial series that walks you through deploying and running Flower on Red Hat OpenShift:

A Platform for Decentralized Scientific Computing

In collaboration with Red Hat, Flower provides a powerful foundation for modern scientific computing. The combined stack enables privacy-preserving, cross-cluster training that is secure, flexible, and production-ready. Researchers can move seamlessly between experimentation and deployment, supporting both open-source exploration and enterprise use cases.

See You at Supercomputing 2025

We'll be at Supercomputing 2025 (November 16-21, St. Louis, MO) to discuss how federated AI is reshaping distributed and scientific computing. Stop by the Red Hat booth to meet the Flower Labs team and explore how open collaboration is driving the next wave of scalable AI.


Share this post