Build your AI infrastructure for scale
From silicon to software. From development to production. Get all the open source components you need to build your AI infrastructure. Go to market quickly with an integrated end-to-end stack and start extracting value from your data at scale.
Why Canonical for enterprise
AI infrastructure?
- Deep hardware enablement optimized for AI performance
- Cost-effective model with one subscription for the entire stack
- Run your workloads anywhere – on premises, in public clouds, or hybrid environments
- 100% open source with enterprise support
Full-stack AI infrastructure
Hardware automation
Automate the provisioning and management of your data center hardware, including the GPUs, SmartNICs, and DPUs you need to drive your AI workloads.
Operating system
Ubuntu is the operating system of choice for AI. Get access to the broadest ecosystem of machine learning tools and libraries, and diversify your silicon supply chain for resiliency with an OS optimized for all the leading architectures.
Infrastructure management
Build your cloud, modernize your workloads for AI, manage your entire Ubuntu estate. Enjoy bottom-up infrastructure automation so you can focus on your business.
Data solutions
There's no AI without data. Canonical delivers a comprehensive portfolio of integrated open source solutions for database management, data processing, search, and caching.
MLOps
Our modular MLOps platform equips you with everything you need to bring your models all the way from experimentation to production.
Optimized for leading silicons
Solve the challenge of silicon enablement with AI infrastructure solutions that run optimally across all major architectures.
Tested and certified with the world's largest hardware vendors
Accelerate time-to-value with validated hardware.
Private, public, sovereign, or hybrid
Choose the ideal AI infrastructure for your use cases. For instance, start quickly with no risk and low investment on public clouds, then migrate your workloads to your private cloud as you scale.
With Canonical's solutions, you can run your workloads anywhere, including sovereign, hybrid, and multi-cloud environments.
Trusted across clouds
Get started easily on your cloud of choice with optimized and certified Ubuntu images.
Kubernetes optimized for AI
Doing more with AI means modernizing your workloads. Modernized workloads mean containerization – and containers need Kubernetes.
Canonical Kubernetes is optimized to enhance AI/ML performance, incorporating features that amplify processing power and reduce latency, developed and integrated in a tight collaboration with NVIDIA.
AI infrastructure in the real world, powered by Canonical
Lowering the cost and complexity of critical space missions
We wanted one partner for the whole on-premise cloud because we’re not just supporting Kubernetes but also our Ceph clusters, managed Postgres, Kafka, and AI tools such as Kubeflow and Spark. These were all the services that were needed and with this we could have one nice, easy joined-up approach.
Michael Hawkshaw, IT Service Manager, European Space Agency
Fortune 500 fintech company goes from constant troubleshooting to scalable machine learning
We like the whole integration umbrella that Canonical offers with Canonical Kubeflow. We have easy access to popular ML frameworks like TensorFlow, PyTorch, and XGBoost, as well as the native Kubernetes tools for monitoring and logging. It helps our data scientists quickly build and experiment with their models in an efficient manner.
Senior data scientist, Fortune 500 financial services company
Building a sustainable cloud for AI workloads
The level of engagement from the Canonical team was remarkable. Even before we entered into a commercial agreement, Canonical offered valuable advice around OEMs and hardware choices. They were dedicated to our project from the get-go.
Tim Rosenfield, CEO and Co-Founder, Firmus
Machine learning drives down operational costs
Partnering with Canonical lets us concentrate on our core business. Our data scientists can focus on data manipulation and model training rather than managing infrastructure.
Machine learning engineer, entertainment technology company
Cost-effective, security-maintained, and supported
Canonical maintains and supports all the open source tooling in your AI infrastructure stack, including Kubernetes and open source cloud management solutions like OpenStack.
Enterprise support for the entire stack is available with a transparent subscription, Ubuntu Pro, so you have full control over your TCO.
Fast-track compliance and run AI projects securely. Let us handle the CVEs.
Start your journey with a workshop
Feeling stuck? Our consulting services and workshop can help you move forward.
Our experts will work with you to define an optimal architecture tailored to your existing ecosystem and implement a scalable, resilient infrastructure across any environment – private, public, or hybrid cloud.