Google Cloud and NVIDIA have announced a groundbreaking collaboration to bring Agentic AI capabilities to enterprises, leveraging NVIDIA’s Blackwell HGX and DGX platforms alongside confidential computing technology. This partnership enables organizations to securely harness the power of Google Gemini AI models, ensuring data safety, regulatory compliance, and unparalleled performance for AI-driven innovation.

Securing AI with NVIDIA Confidential Computing

The NVIDIA Blackwell platform on Google Distributed Cloud allows enterprises to deploy Gemini AI models on-premises while safeguarding sensitive data. This ensures alignment with data sovereignty laws and regulatory requirements, such as the protection of patient records, financial transactions, and government information.

NVIDIA Confidential Computing adds an extra layer of security by locking down sensitive code and user prompts to prevent unauthorized access or data leaks. This dual-layer protection empowers enterprises to securely innovate without compromising operational efficiency.

Sachin Gupta, vice president and general manager of infrastructure and solutions at Google Cloud, highlighted the impact of these advances:

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.  This collaboration helps ensure customers can innovate securely without compromising on performance or operational ease.

Sachin Gupta, vice president and general manager of infrastructure and solutions at Google Cloud.

Agentic AI: Driving New Applications Across Industries

The partnership arrives at a time when agentic AI systems are transforming enterprise technology. Unlike traditional AI models that generate outputs based on learned knowledge, agentic AI systems exhibit advanced problem-solving capabilities—they can reason, adapt, and make autonomous decisions in dynamic environments.

Use Cases of Agentic AI

Enterprise IT Support

• Traditional AI retrieves troubleshooting guides.
• Agentic AI autonomously diagnoses issues, executes fixes, and escalates problems as needed.

Finance

• Standard AI flags fraudulent transactions.
• Agentic AI investigates anomalies, blocks transactions proactively, and adjusts fraud detection rules dynamically.

This revolutionary approach to AI enables organizations to scale intelligent systems for real-world applications that require human-like decision-making.

Addressing On-Premises Security Challenges

While many enterprises have embraced multimodal reasoning AI for cloud-based applications, strict security, and data sovereignty requirements have limited the adoption of such models in on-premises environments. The collaboration between NVIDIA and Google Cloud solves these challenges by providing confidential computing capabilities for hybrid environments.

Powered by NVIDIA HGX B200 with Blackwell GPUs, this solution offers breakthrough performance and energy efficiency while ensuring robust data security. Enterprises can now innovate with Gemini models without compromising sensitive information or model integrity.

Scaling and Securing Agentic AI Workloads

Scaling agentic AI in production requires reliable performance, observability, and security. Google Cloud is addressing these needs with several new tools:

New AI Features

GKE Inference Gateway

• Optimizes AI inference workloads with intelligent routing and scalability.
• Integrates with NVIDIA Triton Inference Server and NeMo Guardrails for enhanced centralized model security and governance.

NVIDIA Dynamo Integration

• Google Cloud is collaborating with NVIDIA to integrate NVIDIA Dynamo, an open-source library that scales reasoning AI models across AI factories. This enhancement fosters observability and reliability for agentic AI workloads.

The collaboration between Google Cloud and NVIDIA marks a significant milestone in the enterprise AI landscape. By combining NVIDIA’s Blackwell platform with Google Gemini models, organizations can deploy AI systems securely on-premises or hybrid environments while unlocking the transformative power of agentic AI.

From IT support to finance, the potential applications of agentic AI are endless. With robust confidentiality and enhanced observability tools, enterprises can now scale AI-driven innovation securely and efficiently.

Google Cloud is set to become one of the first cloud service providers to fully secure agentic AI workloads, setting the stage for a future where AI systems can reason, adapt, and make autonomous decisions in diverse and dynamic environments. For enterprises, this collaboration ultimately paves the way for secure, scalable, and intelligent AI innovation.