NVIDIA and Google Cloud Bring Agentic AI Reasoning to Enterprises
NVIDIA is working with Google Cloud to bring agentic AI to enterprises looking to utilize the Google Gemini family of AI models using the NVIDIA Blackwell HGX and DGX platforms and NVIDIA Confidential Computing for data safety.
According to the vendors, with the NVIDIA Blackwell platform on Google Distributed Cloud, on-premises data centers can stay aligned with regulatory requirements and data sovereignty laws by locking down access to sensitive information, such as patient records, financial transactions, and classified government information. NVIDIA Confidential Computing also secures sensitive code in the Gemini models from unauthorized access and data leaks.
“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, vice president and general manager of infrastructure and solutions at Google Cloud. “This collaboration helps ensure customers can innovate securely without compromising on performance or operational ease.”
Confidential computing with NVIDIA Blackwell provides enterprises with the technical assurance that their user prompts to the Gemini models’ application programming interface—as well as the data they used for fine-tuning—remain secure and cannot be viewed or modified.
At the same time, model owners can protect against unauthorized access or tampering, providing dual-layer protection that enables enterprises to innovate with Gemini models while maintaining data privacy.
This new offering arrives as agentic AI is transforming enterprise technology, offering more advanced problem-solving capabilities.
Unlike AI models that perceive or generate based on learned knowledge, agentic AI systems can reason, adapt and make decisions in dynamic environments.
With this announcement, Google Cloud will be one of the first cloud service providers to offer confidential computing capabilities to secure agentic AI workloads across every environment—whether cloud or hybrid, according to the companies.
Scaling agentic AI in production requires robust observability and security to ensure reliable performance and compliance.
Google Cloud also announced a new GKE Inference Gateway built to optimize the deployment of AI inference workloads with advanced routing and scalability. Integrating with NVIDIA Triton Inference Server and NVIDIA NeMo Guardrails, it offers intelligent load balancing that improves performance and reduces serving costs while enabling centralized model security and governance.
Looking ahead, Google Cloud is working to enhance observability for agentic AI workloads by integrating NVIDIA Dynamo, an open-source library built to serve and scale reasoning AI models across AI factories, according to the company.
For more information about this news, visit www.nvidia.com.