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Explore the technical collaboration between Canonical, Google, and NVIDIA in this 27-minute conference talk that demonstrates how to deliver optimized Ubuntu Linux images specifically designed for AI workloads on Google Cloud. Learn about the technical intricacies of purpose-built images and discover how essential GPU and networking drivers have been integrated with compute hardware to enhance performance and ease-of-use for AI developers. Examine the strategic business implications of this solution and understand how these specialized images enable AI developers to accelerate development cycles and scale AI workloads more efficiently. Gain insights from Hassan Tasneem, a seasoned technology leader with over 15 years of cloud industry experience who currently leads Operating System technology on Google Compute Engine, Aaron Whitehouse, Senior Public Cloud Enablement Director at Canonical, and Hugo, an expert in cloud computing and business models who leads joint innovation between Canonical and Google with 18 years of experience in digital transformation across open source, cloud computing, 5G, AI, and cybersecurity domains.
Syllabus
Optimizing AI workloads with Ubuntu AI images | Ubuntu Summit 25.10
Taught by
Canonical Ubuntu