Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting our team. We will be in touch shortly.Close

Simplify your enterprise AI journey with trusted open source

Innovate at speed with secure and compliant open source. Get all the AI tooling you need in an integrated stack at a predictable cost.

Contact Canonical

Why Canonical
for enterprise AI?

  • Run your entire AI/ML lifecycle on a single integrated stack
  • Control your TCO with predictable costs and the best economics in the industry
  • Consume open source AI software at speed, securely

One integrated AI stack

With Canonical, you get a full open source AI solution and one vendor to support it.

From GPUs that are optimised for AI use cases to a desktop environment, an integrated MLOps platform, and scalable edge deployments — do it all on a single stack.

Fast-track compliance
with secure AI software

Rapidly access all the open source software you need for AI, and run it securely.

We secure and support all of the key open source software in the AI lifecycle so you don't have to. We fix Critical CVE vulnerabilities in under 24h on average, helping you streamline compliance and focus on your AI models.

Optimal TCO

No software licence fees and predictable pricing per node.

Enjoy the freedom of open source, with the best support and economics.

Get in touch to kickstart your journey ›

One platform from workstations to edge deployments

Ubuntu is the OS of choice for data scientists. Develop machine learning models on Ubuntu workstations and deploy to Ubuntu servers. Continue with the same familiar Ubuntu experience throughout the AI lifecycle, across clouds and all the way to the edge.

Learn more about Ubuntu for AI ›

Full-stack AI infrastructure

Canonical's portfolio spans the full scope of AI infrastructure, from the OS to Kubernetes and any type of cloud. Take advantage of an end-to-end solution, or pick and choose the specific components you need.

Download our MLOps toolkit ›

Run on any cloud

Run your workloads anywhere, including hybrid and multi-cloud environments.

Choose the ideal infrastructure for your use cases — start quickly with no risk and low investment on public cloud, then move workloads to your own data centre as you scale. Benefit from a consistent, optimised OS, tooling and GPU support throughout your entire AI journey.

Scale with MLOps

Simplify workflow processes and automate machine learning deployments at any scale with our modular MLOps solutions. Our secure and supported Kubeflow distribution, integrated with a growing ecosystem of AI and data tooling, brings scalability, portability and reproducibility to your machine learning operations.

Read our guide to MLOps ›

Enterprise data management

Data is at the heart of every AI project, which is why our stack includes a suite of leading open source data solutions enhanced with enterprise features.

Simplify your data operations with extensive automation, scale with predictable pricing and run on your infrastructure of choice — all backed by 10 years of enterprise-grade security and support.

Explore our data solutions ›

Optimised for silicon

Canonical partners directly with silicon vendors to optimise and certify our solutions with dedicated AI hardware.

With NVIDIA AI Enterprise and NVIDIA DGX, Canonical's open source solutions improve the performance of AI workflows, by using the hardware to its maximum extent and accelerating project delivery. Find out how Charmed Kubeflow can significantly speed up model training when coupled with DGX systems.

Download the whitepaper on NVIDIA DGX and Charmed Kubeflow ›

AI at the edge

Drive real-time insight in the field and on the factory floor by running your AI models directly on edge devices.

Deploy compute where you need it to power AI use cases at the edge. Solve security, management and update challenges for your fleet with an OS purpose-built for IoT devices and optimised for AI.

Edge AI explained ›

Professional services
from open source experts

Shortage of expertise is among the most significant barriers to AI adoption. Bridge the skills gap with Canonical's professional services. Let our experts guide you through your optimal AI journey, or completely offload the operational burden of your AI stack with our managed service.

Read the datasheet

What customers say

"We needed a cloud solution that was stable, reliable and performant. Canonical allowed us to do this by helping to design and deploy our cloud — and they helped us do this quickly."

Peter BlainDirector, Product and AI Firmus

Open source AI in action

Learn how University of Tasmania is modernising its space-tracking data processing with the Firmus Supercloud, built on Canonical's open infrastructure stack.

Discover how a global entertainment technology leader is putting Canonical Managed Kubeflow at the heart of a modernised AI strategy.

LLMs and generative AI are dominating much of the current AI/ML discourse, and their potential goes far beyond chatbots. Our blog breaks down LLM use cases, challenges and best practices.

Explore how Canonical partners with silicon vendors to optimise our solutions with certified hardware.