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A Partnership Made for Data Control

Bring Google Distributed Cloud Gemini to your data center with Dell Technologies. Leverage Google Gemini in a secure & sovereign environment.
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Key takeaways 6 min read
  • Collaboration: Dell and Google Cloud are collaborating to bring Gemini Flash models on Google Distributed Cloud on Dell PowerEdge XE9780 servers.
  • Integrated Solution: Provides a fully integrated, on-premises environment for running advanced generative AI workloads.
  • Security Features: Leverages secure BIOS and robust security attestation to meet strict data protection, residency, and sovereignty requirements.
  • Latest Gemini Models: Supports expanded 1M+ context windows and advanced AI tools like Gemini CLI.
  • Enterprise Benefits: Delivers the security, control, and compliance modern enterprises demand.

The next era of enterprise AI Is hybrid

The AI revolution is here, bringing powerful opportunities to organizations. But the reality is, for many enterprises, data is their most valuable asset. However, regulations like HIPAA and GDPR means data cannot leave the safety of the building. At the same time, workloads demand real-time processing, bandwidth is not unlimited, and continuity of operations is essential. These factors require AI solutions that move to where the data lives, helping to ensure compliance, resilience, and agility without compromise.

Dell is committed to providing customers with complete AI solutions that enable control over their data, without compromising choice, flexibility, or trust. This approach is built on partnership and innovation, offering organizations more ways to harness the potential of AI and drive meaningful outcomes. Today, we are announcing that Gemini on Google Distributed Cloud will be available on the PowerEdge XE9780 servers in the second half of this year. Dell, Google, and NVIDIA are bringing leading infrastructure and AI models directly to customers to help fundamentally change their business.

Dell and Google Cloud are deepening this collaboration to bring Gemini 3 Flash models on Google Distributed Cloud on Dell PowerEdge XE9780 servers, now enabled by NVIDIA B300 GPUs. This next-generation platform empowers enterprises to run advanced AI workloads in a private confidential computing environment, leveraging secure BIOS and security attestation to help meet data protection, residency, and sovereignty requirements. The collaboration is advancing in lock-step with Google Cloud to support newer Gemini models featuring longer context windows, advanced AI tools like Gemini CLI, and multi-node cluster capabilities, delivering a fully integrated on-premises generative AI solution with the security and control enterprises require.

With Gemini and NVIDIA Blackwell on Google Distributed Cloud (GDC), Dell Technologies and Google Cloud are delivering Gemini models directly into enterprise data centers where customer data lives. This collaboration brings cloud-grade AI capabilities to on-premises environments without compromising data sovereignty or security requirements.

The on-premises AI reality

Organizations across finance, healthcare, manufacturing, and government sectors share common constraints. Their most valuable data cannot leave the premises. Traditional approaches require teams to assemble custom AI stacks from open-source components, manage complex deployments, and compete for scarce AI talent just to maintain basic functionality.

This creates a significant innovation gap. While public cloud users access cutting-edge models and managed services, egress fees and security concerns keep customers from fully unleashing the power of AI on their data. The result is slower decision-making, reduced competitive advantage, and frustrated developers who know better solutions exist but remain out of reach.

Google Distributed Cloud and Dell Technologies change this equation by delivering fully managed AI infrastructure directly to customer data centers. Organizations can run Gemini models locally while maintaining complete control over data residency, network policies, and security protocols.

Dell infrastructure enables sovereign AI

The collaboration combines Google’s AI expertise with Dell’s enterprise infrastructure leadership. Dell AI Factory with NVIDIA provides the foundation through confidential compute-enabled PowerEdge XE9780 servers equipped with NVIDIA B300 GPUs, the latest generation of NVIDIA’s Blackwell architecture, delivering a truly secure and performant solution. This infrastructure delivers the performance density required for complex AI operations while maintaining enterprise-grade reliability, and the platform supports multi-node cluster configurations to scale workloads beyond a single server. The integrated platform helps to ensure seamless lifecycle management at scale.

A critical element of this solution is the confidential computing implementation. This confidential computing solution spanning both CPUs and GPUs with remote security attestation enables AI models and data to remain encrypted in use.. This addresses a critical concern for organizations handling sensitive or regulated data, preventing tampering or exfiltration at every level.

Customers can also leverage Dell AI Data Platform as part of the overall Dell AI Factory to harness their data on-prem. This results in a cohesive ecosystem that enables greater data organization and control.

Real-world applications across industries

  • Financial services organizations can analyze proprietary trading models and generate automated compliance reports without exposing sensitive data. Real-time fraud detection operates on local transaction streams, ensuring rapid response times and regulatory compliance.
  • Healthcare providers can perform HIPAA-compliant analysis of medical imaging and patient records. Research teams can accelerate drug discovery and clinical analysis while maintaining strict privacy controls within laboratory environments.
  • Manufacturing companies can carry out predictive maintenance powered by edge-processed IoT data. Quality control systems can perform ultra-low latency visual inspection while protecting intellectual property around design and production processes.
  • Software companies can generate secure code and perform vulnerability scanning on proprietary codebases without exposing source code to external services. Development teams can embed local AI features into regulated applications while maintaining complete control over the processing environment.

Implementation and management

Getting started requires coordination between Google Cloud representatives for Gemini subscriptions and Dell Technologies for hardware procurement. The prescribed bill of materials includes servers, racks, and networking components specifically configured for AI workloads.

Hardware installation is handled by Dell Services and occurs directly in customer data centers under enterprise security standards. Google Cloud handles the complete software deployment, including the Gemini model stack, unified management interfaces, and cloud integration where connectivity permits.

The managed service model means enterprise teams can focus on application development and business outcomes rather than infrastructure maintenance. Google Cloud provides ongoing updates, optimization, and support while Dell ensures hardware reliability and performance.

Customer value

This collaboration represents more than a technology integration. It provides enterprise customers with a clear path from AI experimentation to production deployment without compromising security or compliance requirements. With support for Gemini Flash 3 models, NVIDIA B300 GPUs, confidential computing with security attestation, and Gemini CLI, this collaboration delivers one of the most comprehensive on-premises generative AI solutions available today.

Organizations no longer need to choose between advanced AI capabilities and data sovereignty. The combination of Google’s Gemini models running on Google Distributed Cloud with NVIDIA’s Blackwell systems and Dell’s enterprise infrastructure creates a solution that matches public cloud innovation with on-premises control.

For enterprise IT leaders evaluating AI strategies, this partnership offers a production-ready path forward. The infrastructure is ready, the models are proven at scale, and the deployment model fits enterprise security and compliance frameworks.

The future of enterprise AI is hybrid, and this partnership makes that future accessible now. To learn more, visit Google Gemini On-Prem | Dell USA and reach out to your Google Cloud or Dell sales representative today. 

 

About the Author: Ihab Tarazi

Ihab Tarazi is the Chief Technology Officer and Senior Vice President at Dell Technologies, Infrastructure Solutions Group Core where he is responsible for technology strategy and next generation architecture for Compute, Storage and Network platforms including Edge, 5G and AI/HPC, as well as engagements with technology vendors and cloud ecosystems.

Prior to this role, Mr. Tarazi served as Chief Technology Officer at Packet Host, Inc. (currently Equinix Metal), a leading bare metal cloud company built for developers, where he was responsible for the company’s Product, Engineering and Technology. Prior to joining Packet, Mr. Tarazi held a number of positions in the telecom and infrastructure space, including Chief Technology Officer at data center and colocation provider Equinix, where he was responsible for developing the Equinix Cloud Exchange and strategic engagements with leading platforms in the Cloud, Security, Storage, Edge and IoT.

Mr. Tarazi previously served as VP Engineering and Technology at Verizon, where he led a global team for the Engineering and Product Development of Global Enterprise Services including MPLS VPN, IP, Ethernet, Security and Managed Services. He has served as a member of the board of directors for NeoPhotonics Corp. since October 2015.  He is also a member of the board for Telecom Infrastructure Project (TIP).

Mr. Tarazi holds a B.S. degree in Electrical Engineering and Telecommunications from the University of Maryland, and an M.S. in Telecommunications Management from Southern Methodist University.