Stop Struggling with CUDA: How Ubuntu 26.04 is Fixing AI Development Forever

Stop Wrestling with Drivers: Ubuntu’s Vision for AI-Native Development Think Canonical is just now pivoting to AI? Think again. In this deep dive, Jon Seager (VP of Engineering for Ubuntu) explains why Ubuntu has "been here all along," powering the vast majority of today’s AI workloads across every major cloud provider. From the hardware in your workstation to the instances in your cluster, this talk covers the engineering reality behind the "orange Linux" and its role as the foundational layer for modern machine learning. What you’ll learn in this video: • The 26.04 LTS Breakthrough: Why the upcoming release is a game-changer for developers, enabling you to apt install CUDA or apt install ROCm directly from the base system—no more manual repository wrangling or driver nightmares. • The NVIDIA Partnership: A look at why NVIDIA chose Ubuntu as the exclusive, natively branded OS for the ARM64-only DGX Spark AI workstation.+1 • Silicon-Level Support: How Canonical works with Intel, AMD, and Qualcomm (including the Dragonwing platform) to ensure day-one kernel support for NPUs, TPUs, and accelerators right out of the box. • The 15-Year Promise: How Canonical provides security maintenance for the entire AI stack for up to 15 years, allowing teams to focus on building models rather than patching infrastructure. Whether you’re a hobbyist tinkerer or an enterprise engineer, discover how the next generation of Ubuntu is removing the friction from AI development. Key Timestamps: 0:00 – Ubuntu: The Quiet Powerhouse of AI 1:40 – Why Cloud AI Runs on Ubuntu 3:50 – Working with NVIDIA, AMD, and Intel 5:30 – The "Big Deal": Native apt install for CUDA & ROCm 7:00 – Open Source AI Products & Future Roadmap #Ubuntu #AI #Canonical #MachineLearning #Linux #CUDA #ROCm #NVIDIA #OpenSource #DevOps #Engineering