Take your models to production with open source AI
Build enterprise-grade AI projects with secure and supported Canonical MLOps. Develop on your Ubuntu workstation using Charmed Kubeflow or Charmed MLFlow and scale up quickly with open source tooling in every part of your stack.
Why choose Canonical for Enterprise AI?
- Reliable experts to speed up your AI journey
- One vendor to support your AI stack
- Run your workloads anywhere, including hybrid and multi-cloud
- Simplified operations with lifecycle management and automation
- Simple per node subscription
Develop artificial intelligence projects on any environment
Ubuntu: the OS of choice for data scientists
Develop machine learning models on Ubuntu workstations and benefit from management tooling and security patches.
Move beyond experimentation with machine learning operations (MLOps)
MLOps is the short term for machine learning operations and it stands for a set of practices that aim to simplify workflow processes and automate machine learning and deep learning deployments.
MLOps is an approach that enables you to deploy and maintain models reliably and efficiently for production, at a large scale.
Learn more about MLOpsOpen source MLOps tooling
Charmed Kubeflow
Develop and deploy models with automated workflows. Charmed Kubeflow is an end-to-end MLOps platform designed to run AI at scale. It is the foundation of Canonical MLOps and seamlessly integrates with other big data and machine learning tools.
Charmed MLflow
Track your experiments and get a better overview of your model catalogue. Charmed MLFlow is an open source platform used for managing machine learning workloads. It integrates with other MLOps tools to cover different functions of the machine learning lifecycle.
Charmed Spark
Simply the best way to run Spark®, whether on the cloud or in your data centre. Runs on Kubernetes. Includes a fully supported distribution of Apache Spark.
Charmed OpenSearch
Charmed OpenSearch simplifies the operations of your favourite search and analytics suite. In addition, OpenSearch provides an integrated vector database that can support AI systems by serving as a knowledge base.