Google Cloud infrastructure at NVIDIA GTC Berlin 2026
As enterprises transition to continuous, multi-step agentic workflows, traditional infrastructure is hitting its limits. But raw performance is only part of the equation. To truly scale agentic AI, enterprises also need the flexibility to run the right models for the right tasks, alongside the data and operational sovereignty required to maintain verifiable control over both their sensitive intellectual property and the underlying infrastructure.
Today at NVIDIA GTC Berlin 2026, we are announcing new advancements across the stack to deliver this foundation: minimizing bottlenecks, expanding ecosystem choice, and introducing new sovereign AI and Confidential Computing capabilities to protect your most sensitive workloads with hardware-enforced security.
Architecting for the agentic era
To help you train, serve, and operate models at scale, Google Cloud’s AI Hypercomputeris built on compute, storage, networking, and software that we co-designed as a single system. Today, in collaboration with NVIDIA, we are announcing new updates to this...
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