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.

Key takeaways:

    • Google Gemini is coming to Google Distributed Cloud on Dell infrastructure in the second half of 2025, bringing cloud-grade AI models directly into enterprise data centers where customer data lives — with a single, predictable per-server license and no surprise costs.
    • Organizations in regulated industries can now run Gemini models on-premises without compromising data sovereignty, security or compliance, powered by Dell AI Factory with PowerEdge XE9780 servers and NVIDIA Blackwell GPUs.
    • Learn how Dell AI Factory with NVIDIA delivers a comprehensive and secure AI solution customizable for any business.

The next era of Enterprise AI is hybrid

The AI revolution is here, bringing powerful opportunities that organizations can’t afford to miss. But the reality is, for many enterprises, data is their most valuable asset. However, regulations like HIPAA and GDPR mean it 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, ensuring 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 introducing the availability of Google Gemini on Google Distributed Cloud in the second half of this year. Together, Dell and Google are bringing best-of-breed infrastructure and AI models directly to customers to help fundamentally change their business.

Unlike typical AI deployments that use usage-based tokens, Gemini on-prem uses a single, straightforward license. Once you invest, your teams can access Gemini’s full capabilities without limits, tracking or surprise costs. This “all you can eat per server” approach ensures organizations can tap into the true value of AI, all while being confident that their investment is predictable, sustainable and completely under their control.

Google Gemini on Google Distributed Cloud (GDC) and Dell Technologies are bringing Gemini models directly into enterprise data centers where customer data lives. This partnership 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 now run Gemini models locally while maintaining complete control over data residency, network policies and security protocols.

Dell infrastructure powers sovereign AI

The partnership combines Google’s AI expertise with Dell’s enterprise infrastructure leadership. Dell AI Factory provides the compute foundation through PowerEdge XE9780 servers equipped with NVIDIA Blackwell GPUs and NVIDIA’s confidential computing capabilities to deliver a truly secure solution. This infrastructure delivers the performance density required for complex AI operations while maintaining enterprise-grade reliability. The integrated platform ensures seamless lifecycle management at scale.

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 and can feed Google Gemini.

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 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 provides ongoing updates, optimization and support while Dell ensures hardware reliability and performance.

Strategic partnership 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.

Organizations no longer need to choose between advanced AI capabilities and data sovereignty. The combination of Google’s Gemini models, Google Distributed Cloud management, 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 available today, 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 lean 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.