--- title: Infrastructure | AI description: "Fast-track your AI projects with a proven and supported open source\n\ \ AI infrastructure stack. Start quickly in the public cloud, then run\n your\ \ models at scale in your private infrastructure and at the edge." url: https://canonical.com/solutions/ai/infrastructure?format=md --- # 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. [Get in touch](https://canonical.com/contact-us) --- ## 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. [Build your cloud  ›](https://canonical.com/solutions/infrastructure) --- ## 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. [Download the solution brief: Kubernetes by Canonical delivered on NVIDIA DGX systems ›](https://ubuntu.com/engage/kubernetes-by-canonical-delivered-on-nvidia-dgx-systems) --- ## AI infrastructure in the real world, powered by Canonical Space exploration Financial services Cloud hosting Media and entertainment ### 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 [Get the full case study](https://canonical.com/case-study/esa) ### 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 [Get the full case study](https://canonical.com/case-study/machine-learning-for-financial-services) ### 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 [Download the full case study](https://pages.ubuntu.com/rs/066-EOV-335/images/Firmus+Case+study.pdf) ### 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 [Download the full case study](https://pages.ubuntu.com/rs/066-EOV-335/images/Canonical%20%7C%20AIML%20Entertainment%20Case%20Study.pdf?version=0) --- ## 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. [Explore Ubuntu Pro ›](https://canonical.com/pro) --- ## 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. [Learn more about our workshop](https://canonical.com/mlops/mlops-workshop) [Contact the team](https://canonical.com/contact-us) --- ## [Get the enterprise guide to private AI infrastructure ›](https://ubuntu.com/engage/open-source-ai-infrastructure) Close ### Contact Canonical --- Fill in this form and a member of our team will be in touch shortly.