Welcome to
The Iguazio
AI Platform
Develop, deploy, monitor and manage AI and gen AI applications at scale. Data science, data engineering and DevOps teams can automate the entire ML pipeline from data management and model development to rapid deployment and on-going LiveOps.
Key Components for AI Acceleration:
- Real-time serving pipelines for data processing and model inference
- Workflow development running at scale and low cost
- Automated deployment of batch and real-time apps using CI/CD
- Built-in LiveOps for monitoring & re-training
- Guardrails for all gen AI steps
- Supports any cloud environment and on-prem
The fastest way to learn about the platform is by using it.
First, see the platform introduction page.
1. Review the tutorials in the MLRun documentation..
2. If your IDE supports Jupyter notebook (for example, PyCharm and VSCode), download the tutorials, and use the update_demos script to download the latest demos.
(Alternatively, you can use the Jupyter service, and view the tutorial notebooks and demos from within the service.)
For additional information and references, select Help on the side navigation menu to display the help center or refer to the product documentation..