Podcast Summary: Live from GTC – Building AI on Ubuntu with Jack Cavanaugh of Canonical
Podcast: Reshaping Workflows with Dell Pro Precision and NVIDIA RTX PRO GPUs
Host: Logan Lawler (Dell Technologies AI Factory with NVIDIA)
Guest: Jack Cavanaugh (Dell Alliance Manager, Canonical)
Date: March 18, 2026
Episode Theme: Exploring Canonical’s partnership with Dell and NVIDIA, focusing on building AI solutions on Ubuntu across devices and data centers, highlighted live from NVIDIA GTC 2026.
Episode Overview
This episode dives into the collaboration between Canonical, Dell, and NVIDIA, focusing on how Ubuntu is powering next-generation AI workflows—from edge devices like Jetson and robotics to large-scale data centers. Host Logan Lawler chats with Jack Cavanaugh of Canonical, unpacking the strategy, new product integrations, and the compelling value of open source environments in enterprise AI development.
Key Discussion Points & Insights
1. Canonical’s Role and Dell Partnership (00:36–00:51)
- Jack’s Role: Jack Cavanaugh describes his position as Dell Alliance Manager at Canonical, emphasizing a "better together" approach—driving joint go-to-market solutions, especially for data centers.
- Partnership Focus: Building software stacks atop Dell products to optimize customer experience.
Quote (Jack Cavanaugh, 00:44):
"I help drive joint go to market with Dell. So largely focused on data centers, building software stacks on top of Dell products for a better together solution."
2. Canonical’s Innovations and Announcements at GTC 2026 (01:07–01:45)
- Broadened NVIDIA Partnership: Canonical is now expanding its collaboration with NVIDIA beyond the data center to include edge device solutions.
- Jetson Device Integration: New this year, Ubuntu optimized images are now available for NVIDIA’s Jetson line, making it easier for developers to leverage familiar Linux-based tools on robotics and edge-AI platforms.
- Supporting DGX and IGX: Ubuntu continues to be developed and optimized for NVIDIA’s data center offerings (DGX, IGX), serving as the open source backbone for scalable AI infrastructure.
Quote (Jack Cavanaugh, 01:14):
"We are building optimized images with Ubuntu for [Jetson] as well as continued development on the data center side of things. Optimizing Ubuntu as an operating system to run across the Nvidia line of products..."
3. Why Canonical Became the OS Partner for Jetson & Edge Robots (01:45–02:58)
- Shift from Jetpack: Historically, Jetson relied on Jetpack for its system layer, but Canonical's entry means a more seamless open source experience with robust driver integration.
- Canonical’s Edge Expertise: With a specialized devices division, Canonical is poised to deliver an enterprise-ready, cohesive Linux platform, simplifying development for both enterprise and embedded applications.
- Open Source Benefits: Ubuntu’s integration brings familiar tooling and flexibility for developers, combining the strengths of open source with enterprise-grade support and security.
Quote (Jack Cavanaugh, 02:06):
"We as a company look at ourselves as the experts in open source, experts in Linux operating system...we can come in with Nvidia to jointly create a platform that's easy to develop on, integrated with all the Nvidia drivers, and just provides a platform which people can use familiar open source tooling..."
4. Ubuntu for AI: Free vs Paid, and the Enterprise Value-Add (02:58–04:33)
- Ubuntu’s Approach: Ubuntu is free for five years on client side devices, but Canonical also delivers scalable solutions for cloud and Kubernetes infrastructure.
- Enterprise Support: Beyond the free OS, Canonical offers paid support, managed services, and integration assistance—crucial for IT decision-makers needing reliability and accountability at scale.
- Unified Experience: The platform arms enterprises with a consistent, open-source environment across endpoints and infrastructure, backed by expert help for troubleshooting and management.
Quote (Jack Cavanaugh, 03:37):
"What we can provide to customers is an environment that they're used to with open source software and applications, but provided by an enterprise...You can call us if you have issues with any of your integrations, any issues with the OS, any issues with the Kubernetes layer..."
Notable Quotes and Memorable Moments
-
Logan Lawler’s Wrap-Up (04:33):
"So you heard it here first. If you're not on Ubuntu, guess what? You probably should be." -
Jack Cavanaugh’s Closing Advice (04:47):
"Do what you want. Do what you want. Do it. Do what you want. Do what you want."
Important Timestamps
- 00:36: Jack Cavanaugh introduces his role at Canonical and focus on Dell partnership
- 01:07: New Canonical developments at NVIDIA GTC 2026— Jetson integration, continued DGX/IGX support
- 01:45: Why Canonical for Jetson and edge robotics—shift towards Ubuntu for a fully open-source device platform
- 02:58: Clarifying Ubuntu’s free/paid offering and the advantages for IT and enterprise environments
- 04:33: Logan’s practical endorsement for Ubuntu
Summary & Takeaways
This episode underscores Canonical’s expanding prominence in the AI hardware ecosystem through robust collaborations with Dell and NVIDIA. Ubuntu’s reach now spans from enterprise data centers to the very edge of AI, providing an open source yet enterprise-ready layer that cultivates innovation, accelerates development, and ensures operational support.
Main takeaway:
If your workflow involves AI development—whether at the edge, on robotics, or across cloud data centers—Ubuntu is positioning itself as the go-to, future-proof, scalable, and support-backed operating system.
End of Summary