MLRun Community Edition
Build, deploy, and scale AI, without managing infrastructure
Why use MLRun CE?
Works with your stack
Plug into your existing tools—Kubeflow, Spark, Kafka, Grafana, and more. No lock-in, no rewrites. Need more? Add any 3rd party tool to MLRun’s flexible, open architecture.
Infrastructure, simplified
Run locally or on Kubernetes with a single command. No need to configure pipelines, containers, or clusters from scratch.
Effortless scaling for any workload
Whether you’re running batch jobs or real-time applications, MLRun handles scaling, resource allocation, and performance tuning for you.
At the core of MLRun CE
MLRun is an open-source AI orchestration framework for managing ML and generative AI applications across their lifecycle. It automates data preparation, model tuning, customization, validation and optimization of ML models, LLMs and live AI applications over elastic resources.
MLRun is an open-source AI orchestration framework for managing ML and generative AI applications across their lifecycle. It automates data preparation, model tuning, customization, validation and optimization of ML models, LLMs and live AI applications over elastic resources.
Get started with working AI pipelines
Use ready-to-run examples for LLMs, batch pipelines and real-time applications
MLRun connects orchestration, data, compute and monitoring in one unified workflow
Components
- Projects management
- Batch & real time functions
- Experiment tracking
- Model monitoring
- Alerts & notifications
