- Nvidia and Google Cloud partner to bring agentic AI to the enterprise, enabling on-prem deployment of Gemini models via Google Distributed Cloud
- Integration with Nvidia's Blackwell platforms and Confidential Computing enhances performance while securing sensitive data in regulated industries
- Enterprise use cases include fraud detection, IT automation and AI-driven decision-making, as demand for secure, localized AI infrastructure grows
Nvidia and Google Cloud are joining forces to bring agentic AI capabilities to enterprise customers, combining Google’s Gemini large language models with NVIDIA’s Blackwell-powered infrastructure and Confidential Computing.
The announcement, made during Google Cloud Next 2025, focuses on on-premises AI deployments using Google Distributed Cloud. Enterprises will be able to deploy Gemini models locally on Nvidia DGX and HGX systems, gaining access to high-performance, AI-optimized compute while keeping sensitive data in-house.
The integration is designed for regulated industries like finance, healthcare and telecom — sectors that are increasingly adopting AI-driven automation but face strict data sovereignty and compliance requirements.
Blackwell + Gemini = Agentic AI for the Enterprise
Agentic AI refers to systems that can reason, plan and take autonomous actions. Nvidia and Google’s solution aims to unlock real-world use cases such as:
- Proactive IT troubleshooting
- Real-time fraud detection
- Predictive network maintenance
“By bringing our Gemini models on premises with Nvidia Blackwell’s breakthrough performance and confidential computing capabilities, we’re enabling enterprises to unlock the full potential of agentic AI,” said Sachin Gupta, VP and GM of Infrastructure and Solutions at Google Cloud.
Confidential Computing Enables AI at the Edge
The deployment leverages Nvidia Confidential Computing, which ensures that enterprise data — including patient records, financial transactions and operational telemetry — remains secure during inference and training. This is critical for edge and hybrid cloud deployments where enterprises want AI close to the data.
With Gemini running on Blackwell-based platforms under the control of Google Distributed Cloud, enterprises get the flexibility of public cloud AI with the security and control of local infrastructure.
Bottom Line
As demand for private, high-performance AI infrastructure grows, the Nvidia–Google Cloud partnership positions both companies to serve a wide range of enterprise AI workloads — especially in sectors where trust, control and compliance are non-negotiable.
Read all the news from Google Cloud Next here.
Ed. Note: This article was written with the help of GenAI.