Enterprise

NVIDIA and Google Cloud Partner to Bring Agentic AI to Enterprises

NVIDIA has announced a strategic partnership with Google Cloud to introduce agentic AI to enterprises. This collaboration enables businesses to utilize the Google Gemini family of AI models locally through NVIDIA’s Blackwell HGX and DGX platforms and NVIDIA Confidential Computing for enhanced data security.

Enabling Compliance and Security with NVIDIA Blackwell

The NVIDIA Blackwell platform, integrated with Google Distributed Cloud, empowers on-premises data centers to meet regulatory requirements and data sovereignty laws. Enterprises can ensure compliance while maintaining operational efficiency by restricting access to sensitive information such as patient records, financial transactions, and classified government data. Additionally, NVIDIA Confidential Computing safeguards sensitive code within the Gemini models, protecting it from unauthorized access and potential data breaches.

Sachin Gupta, Vice President and General Manager of Infrastructure and Solutions at Google Cloud, highlighted that the partnership enables enterprises to securely harness the full potential of agentic AI, combining NVIDIA Blackwell’s performance and confidential computing capabilities with operational simplicity.

Dual-Layer Security

Confidential computing with NVIDIA Blackwell provides enterprises with the technical assurance that user prompts to the Gemini models’ application programming interface (API) and the data used for fine-tuning remain secure. This dual-layer security protects against unauthorized access or tampering, allowing enterprises to innovate confidently with Gemini models while preserving data privacy.

The On-Premises Dilemma

Despite the advancements in multimodal reasoning — integrating text, images, code, and other data types to solve complex problems — enterprises with stringent security or data sovereignty requirements have faced challenges in adopting these technologies. This partnership addresses these challenges by making Google Cloud one of the first providers to offer confidential computing capabilities for securing agentic AI workloads in all environments, whether cloud-based or hybrid.

Powered by the NVIDIA HGX B200 platform featuring Blackwell GPUs and NVIDIA Confidential Computing, this solution enables customers to protect their AI models and data while achieving groundbreaking performance and energy efficiency. Enterprises can now maintain data security and model integrity without compromising on innovation.

AI Observability and Security for Agentic AI

Scaling agentic AI in production requires robust observability and security to ensure reliable performance and compliance. To address this, Google Cloud has introduced the GKE Inference Gateway, designed to optimize the deployment of AI inference workloads through advanced routing and scalability. By integrating with NVIDIA Triton Inference Server and NVIDIA NeMo Guardrails, the gateway provides intelligent load balancing that enhances performance and reduces serving costs. It also enables centralized model security and governance.

Looking ahead, Google Cloud plans to enhance observability for agentic AI workloads by integrating NVIDIA Dynamo, an open-source library designed to serve and scale reasoning AI models across AI factories. This forward-looking approach ensures enterprises can confidently scale their agentic AI applications while maintaining security and compliance.

Harold Fritts

I have been in the tech industry since IBM created Selectric. My background, though, is writing. So I decided to get out of the pre-sales biz and return to my roots, doing a bit of writing but still being involved in technology.

Recent Posts

Intel Launches Xeon 6+ on 18A With 288 E-Cores, E835 200GbE Ethernet, and Crescent Island GPU Details

Intel announced a set of data center updates at Computex 2026 in Taipei spanning compute, networking, and its AI accelerator…

3 days ago

NetApp and Cisco Expand FlexPod With Validated AI Architectures and Splunk SOAR Storage Response

NetApp and Cisco have introduced an expanded set of FlexPod-validated solutions to simplify the deployment of secure, scalable AI infrastructure.…

3 days ago

Nutanix Unified Storage Earns Enterprise-Level NVIDIA Certification for Production AI Workloads

Nutanix announced that its Nutanix Unified Storage (NUS) solution is now NVIDIA-Certified at the enterprise level, validating the platform for…

3 days ago

ZutaCore Raises $100M Series C to Scale Waterless Two-Phase Cooling for AI Data Centers

ZutaCore has secured $100 million in Series C funding, with participation from Mitsubishi Electric, Carrier Ventures, Samsung Electronics, and others…

4 days ago

CoolIT Systems Demonstrates 15kW Coldplate, Extending Single-Phase DLC Beyond 2030

CoolIT Systems has announced the development of what it describes as the first 15kW direct liquid cooling (DLC) coldplate design,…

4 days ago

HPE XD230 STAC-A2 Record: Intel Xeon 6980P and Micron MRDIMMs Lead Financial Risk Benchmarks

Financial services infrastructure continues to be defined by the need to process larger risk models within fixed power and space…

5 days ago