To ease the path of enterprise AI adoption and accelerate the conversion of AI insights into business value, NVIDIA recently published the NVIDIA Enterprise AI Factory validated design, an ecosystem of solutions that integrates seamlessly with enterprise systems, data sources, and security infrastructure. The NVIDIA templates for hardware and software design are tailored for modern AI projects, including Physical AI & HPC with a focus on agentic AI workloads.
Canonical is proud to be included in the NVIDIA Enterprise AI Factory validated design. Canonical Kubernetes orchestration supports the process of efficiently building, deploying, and managing a diverse and evolving suite of AI agents on high-performance infrastructure. The Ubuntu operating system is at the heart of NVIDIA Certified Systems across OEM partnerships like Dell. Canonical also collaborates with NVIDIA to ensure the stability and security of open-source software across AI Factory by securing agentic AI dependencies within NVIDIA’s artifact repository.
Canonical’s focus on open source, model-driven operations and ease of use offers enterprises flexible options for building their AI Factory on NVIDIA-accelerated infrastructure.
Canonical Kubernetes is a securely designed and supported foundational platform. It unifies the management of a complex stack – including NVIDIA AI Enterprise, storage, networking, and observability tools – onto a single platform.
Within the NVIDIA Enterprise AI Factory validated design, Kubernetes is used to independently develop, update, and scale microservice-based agents, coupled with automated CI/CD pipelines. Kubernetes also handles the significant and often burstable compute demands for training AI models and scales inference services for deployed agents based on real-time needs.
Based on upstream Kubernetes, Canonical Kubernetes is integrated with the NVIDIA GPU and Networking Operators to leverage NVIDIA hardware acceleration and supports the deployment of NVIDIA AI Enterprise, enabling AI workloads with NVIDIA NIM and accelerated libraries.
Canonical Kubernetes provides full-lifecycle automation and has long-term support with recently announced 12-year security maintenance.
Ubuntu is the most widely used operating system for AI workloads. Choosing Ubuntu as the base OS for NVIDIA AI Factory gives organizations a trusted repository for all their open source, not just the OS. With Ubuntu Pro, customers get up to 12 years of security maintenance for thousands of open source packages including the most widely used libraries and toolchains, like Python, R and others. Organizations can complement that with Canonical’s Container Build Service to get custom containers built to spec, and security maintenance for their entire open source dependency tree.
To learn more about what the NVIDIA Enterprise AI Factory validated design could do for you, get in touch with our team – we’d love to hear about your project.
Visit us at our booth E03 at NVIDIA GTC Paris on June 11-12 for an in-person conversation about how NVIDIA Enterprise AI Factory validated designs.
Lo and behold 👐, Ubuntu MATE 26.10 (Stonking Stingray) is here! 🎊 We are back…
This article provides a guide demonstrating how to deploy Kiwix Server on Ubuntu VPS. What…
A few months ago, we introduced Myna, our project to bring private, local speech-to-text dictation…
Ubuntu 26.10 “Stonking Stingray” arrives at a time when AI tools are accelerating vulnerability discovery.…
One of the best things about Rust is how easy it is to get started.…