Open source orchestration for MLOps
Machine-Learning Operators need focus on what matters, NOT writing infinite sets of scripts.Install
Machine-Learning Operators need a fully automated environment that's easy to be optimized and managed.Configure
Machine-Learning Operators need to combine existing tools in flexible and reusable recipes.Deploy
Who needs FuseML?
FuseML is an MLOps orchestrator powered by a flexible framework designed for consistent operations and a rich collection of integration formulas (recipes) reflecting real world use cases that help you reduce technical debt and avoid vendor lock-in.
For Machine-Learning Operators
FuseML allows you to re-use existing components and tools to create and manage the end-to-end ML lifecycle.
Optimize AI workload with a low-code approach and an extensible framework.
For AI Teams
FuseML allows the team to quickly iterate and re-use existing, well known tools for rapid experimentation and fast production releases.
It's easy to experiment with end-to-end AI workflows and to integrate them into CI/CD pipelines.
How it Works
# On Linux curl -sfL https://raw.githubusercontent.com/fuseml/fuseml/main/install.sh | sh - # Install fuseml in your K8s cluster fuseml-installer install # Use our step-by-step guide https://fuseml.github.io/docs/latest/tutorials # Done!