At NVIDIA GTC 2026, we showcased co-engineered AI infrastructure that technology leaders need to scale their agentic AI workloads.

Google Cloud Platform provides a suite of cloud computing services for building, deploying, and managing applications and infrastructure on Google's global network. Developers can learn about cloud-native development, machine learning, and big data analytics to leverage GCP's scalable and reliable cloud infrastructure for their projects.

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Google Cloud and NVIDIA announced a series of joint AI infrastructure expansions at GTC 2026. Key highlights include strong adoption of G4 VMs powered by NVIDIA RTX Pro 6000 Server Edition, a preview of fractional G4 VMs using NVIDIA vGPU technology (a first for this GPU line), and planned support for the upcoming NVIDIA Vera Rubin NVL72 platform in H2 2026. On the software side, NVIDIA Dynamo is being integrated with GKE Inference Gateway for open-source inference orchestration, and Vertex AI Training now supports A4X VM domains with GB200 NVL72 rack-scale systems plus proactive fault detection. Vertex AI Model Garden is expanding with NVIDIA Nemotron 3 models including a 120B reasoning model. A joint public sector AI startup accelerator program was also announced.

Google Cloud AI infrastructure at NVIDIA GTC 2026

Scaling AI Hypercomputer with NVIDIA Vera Rubin NVL72

Delivering efficiency across the AI infrastructure stack

Advancing Vertex AI training and Model Garden

Co-engineering collaboration powers every layer of the AI stack