This session provides an in-depth look at the Google infrastructure that powers our most demanding AI workloads. We’ll explore the journey from custom silicon, high-bandwidth networking and storage to the software frameworks that enable efficient, large-scale training and inference with industry-leading goodput and uptime across the largest GPUs and TPU clusters. Learn how Google’s unique approach to system design and deployment enables customers to effortlessly achieve Google-level performance and scale for their own applications.

To extract the maximum performance, reliability and security out of every instance from enterprise applications to AI/ML, we built a cutting-edge system of custom silicon, security microcontrollers, and tiered scale-out offloads: Titanium. Titanium already underpins all of our latest compute instances. Join this session to see why Titanium matters, how it works, and how to maximize the benefit in your workloads.

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