Adopt AI across the enterprise with Canonical and NVIDIA
The publishers of the most popular open source OS meet the global innovators in AI. We put the future in your hands.
Turnkey AI solutions for the enterprise powered by Canonical and NVIDIA
Canonical and NVIDIA partner up to build turnkey solutions for enterprises in various industries to optimise their AI journey. Develop, deploy and scale AI with unparalleled hardware performance and the power of open source.
The enterprise-ready operating system loved by AI/ML developers
Meet your AI/ML developers where they are
Your developers are already on Ubuntu, so your production environment should be too. Unleash the power of AI, HPC and data science, with Ubuntu supported on NVIDIA DGX™ as well as third-party NVIDIA-Certified Systems running the NVIDIA AI Enterprise software suite.
Why Ubuntu?
- An enterprise-ready OS with unparalleled security
- Loved by developers and data scientists
- Unified experience from cloud to IoT
- Best-in-class integrations with NVIDIA hardware
- Seamless move from development to deployment
Fast. Secure. Best-in-class.
Ubuntu powers a multitude of NVIDIA platforms - NVIDIA Fleet Command™, BlueField® DPUs or the gold standard for training in the datacenter - DGX. NVIDIA CUDA releases are continuously validated with Ubuntu to ensure you get the best performance, and signed NVIDIA GPU drivers ensure end-to-end security.
What NVIDIA says
“Enterprises, data scientists and developers building AI solutions require integrated systems and software that easily support MLOps workflows. Organisations can run NVIDIA AI on Ubuntu to help solve some of humanity’s biggest challenges with new products and systems that simplify operations, boost safety and improve communication.”
Manuvir Das
Vice President of Enterprise Computing
NVIDIA
Take AI from concept to production effortlessly
Unmatched container orchestration with NVIDIA GPU integration into Canonical Kubernetes
Ubuntu provides an optimized platform for using NVIDIA hardware from the cloud to the edge, whether you are using bare-metal VMs or docker containers. Canonical Kubernetes builds on optimized Ubuntu images and provides unmatched integrations and operations, and is certified as part of the DGX-Ready Software program.
The NVIDIA GPU operator is integrated into Canonical Kubernetes, allowing automation of all software components required to provision NVIDIA GPUs.
Learn more for Charmed Kubernetes ›
Check out certified MLOps software for NVIDIA DGX systems ›
Download the solution brief: Kubernetes by Canonical delivered on NVIDIA DGX systems ›
Take the fast track with certified hardware
Get peace of mind with Ubuntu certified hardware from all major OEMs. Choosing validated platforms significantly reduces deployment time and costs for end-customers, in addition to improving reliability and providing bug-fixes faster.
Combined with NVIDIA DGX systems or NVIDIA-Certified systems, choosing an Ubuntu-certified platform provides secure, performant hardware that is guaranteed to deploy quickly and run smoothly.
- NVIDIA DGX systems
- NVIDIA certified servers
- Data-science workstations
- NVIDIA GPUs
- NVIDIA BlueField DPUs
- NVIDIA ConnectX network adapters
Get enterprise-grade support and software maintenance
End-to-end customer support is available when you need it for all Canonical software backed by NVIDIA across all NVIDIA hardware platforms. New Ubuntu releases are made available like clockwork with Canonical’s periodic release cycle. Ubuntu’s reliable maintenance cycle, with updates every 3-5 weeks fosters trust across the community.
Solutions for the software-defined data center
AI-Ready platforms
NVIDIA AI Enterprise is an end-to-end, secure, cloud-native suite of AI software, enabling organizations to solve new challenges while increasing operational efficiency. It accelerates the data science pipeline and streamlines the development and deployment of predictive AI models to automate essential processes and gain rapid insights from data. NVIDIA AI Enterprise includes an extensive library of full-stack software including AI solution workflows, frameworks, pretrained models and infrastructure optimization.
You can use all of Canonical's enterprise-grade software including Ubuntu LTS, Canonical Kubernetes and Openstack today, with the assurance that help is available through Canonical's support services if required.
NVIDIA
- Unmatched hardware performance
- NVIDIA AI Enterprise for AI and data analytics
- Global enterprise support
- Extensive catalogue of ready-to-use containers
Canonical
- Native vGPU integrations
- MIG support
- Hardened, conformant multi-cloud Kubernetes
- Leaders in Openstack deployments
- MLOps simplified with Kubeflow
Performance and efficiency in a heterogeneous world
The ever-evolving landscape that is driving massive increases in virtualization and network traffic necessitates a modern approach to infrastructure operations. The NVIDIA BlueField data processing unit (DPU) ignites unprecedented innovation by offloading, accelerating, and isolating a broad range of advanced networking, storage, and security services, enabling BlueField DPUs to provide a secure and accelerated infrastructure from cloud to data center to edge.
Through Mellanox’s acquisition by NVIDIA, we have delivered a first-class optimized Ubuntu to every generation of the NVIDIA BlueField DPUs, which are critical elements of NVIDIA’s AI offerings.
Ubuntu and BlueField- First OS to be certified, since 2018
- OVN integrations for offload on to DPU
- Native Ubuntu kernel support for MOFED for ConnectX NICs (with planned DPU support)
Learn more about NVIDIA BlueField ›
Read the e-book: Modernize Your Data Center with Accelerated Networking ›
Software defined operations
Standardizing operations using ML workflows can significantly improve time-to-market and reduce the costs associated with your AI solutions. Charmed Kubeflow, an open source machine learning platform built for Kubernetes, provides a unified environment where data scientists and data engineers can collaborate.
The solution bridges the gap between AI workloads and Kubernetes by providing the cloud-native interface for your ML libraries, frameworks, workflow pipelines and notebooks. This helps to rapidly turn the work of data scientists into production solutions running on top of Kubernetes.
The Charmed Kubeflow solution integrates and operates seamlessly across multiple cloud and on-prem platforms.
Explore Automated ML workflows with Charmed Kubeflow ›
Charmed Kubeflow is now certified in the NVIDIA DGX-Ready Software Program for MLOps ›
On-demand webinar: How Canonical and NVIDIA can help operationalize your AI models quickly ›
Solution brief: Charmed Kubeflow delivered on NVIDIA DGX systems ›
Whitepaper: Run AI at Scale - Build Your Performant ML Stack with NVIDIA DGX and Kubeflow ›
Learn more about Charmed Kubeflow - the fully supported MLOps platform for any cloud ›
NVIDIA DRIVE
Ubuntu is the open source software foundation for NVIDIA DRIVE®.
Canonical provides the production-grade Linux for NVIDIA DRIVE platforms. Ubuntu delivers a secure, maintained and widely adopted software environment that enables software-defined vehicle developers to deploy immersive experiences and autonomous driving applications at scale.
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Partnership with NVIDIA DRIVE
Ubuntu serves as the foundation for NVIDIA DriveOS Linux, which runs on NVIDIA DRIVE AGX Orin™ and NVIDIA DRIVE AGX Thor™ platforms. This enables developers to leverage a familiar, enterprise-grade Linux environment directly on DRIVE systems.
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Long-term security and compliance for NVIDIA DRIVE
Ubuntu provides the runtime environment for execution on top of NVIDIA DriveOS Linux. With long-term security maintenance through Ubuntu Pro, a rich ecosystem of packages, and seamless integration, Ubuntu accelerates development while ensuring stability and maintainability for production automotive systems. Canonical also works with NVIDIA to enable alignment of the DriveOS Linux with ISO/SAE 21434 cybersecurity requirements, supporting OEMs and tier 1s in building compliant and secure AI software platforms on DRIVE.
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