Gemini on Google Distributed Cloud for On-premises Computing with Dell Customers

Bring powerful AI closer to your business with the first-ever on-prem Google Distributed Cloud Gemini for Dell customers.

AI is transforming industries at a remarkable pace, but with this progress comes new challenges—secure data handling, simplified deployment and efficient performance.  Addressing these needs, Dell Technologies and Google Cloud are redefining enterprise AI by introducing Gemini on Google Distributed Cloud for on-premises computing with Dell customers.

This breakthrough solution bridges the gap for companies seeking to harness AI’s power while keeping their data secure and close to home. Leveraging the combined capabilities of Google’s advanced family of Gemini AI models and the confidential compute foundations within Dell PowerEdge XE servers, this solution adds to our Dell AI Factory infrastructure capabilities and positions organizations to accelerate their innovation in a secure and performant environment.

Gemini AI: Enterprise-Grade Intelligence, Elevated

Google Distributed Cloud is a fully managed software and hardware solution for data centers and edge locations to address regulatory, local data processing, survivability and low latency needs. At the heart of this collaboration between Dell and Google Cloud is Gemini, a family of generative AI models known for their sophisticated capabilities. Featuring native multimodality, Gemini model process diverse data formats—text, images, audio and video—within a single system. This makes them an ideal choice for applications in customer engagement, decision-making and creative problem solving across the enterprise.

Key benefits of Gemini family of models include:

    • Dynamic Personalization: Using Retrieval Augmented Generation (RAG), Gemini models adapt outputs based on business-specific contexts without extensive retraining.
    • High-Efficiency Automation: Gemini models improve operational productivity by summarizing extensive data, analyzing sentiment and delivering context-aware outputs in real time.
    • Tailored Intelligence: Enterprises can customize AI to meet unique industry demands, with different Gemini models tailored for different needs and use cases from financial analysis to advanced healthcare applications.

Gemini models’ extensive context window and cutting-edge architecture enable businesses to process vast data volumes seamlessly, extracting actionable insights quicker than ever before.

The Power of Dell PowerEdge XE Servers

A robust AI platform demands powerful infrastructure, enter Dell PowerEdge XE servers.  Engineered for intensive data workloads, these servers deliver exceptional performance when paired with NVIDIA GPUs and provide the security foundation for computational compute and model attestation, allowing Enterprises to trust model integrity.

Key infrastructure highlights include:

    • Unmatched Speed: With up to 1.8 TB/s GPU-to-GPU throughput, model training speeds are exponentially increased¹.
    • Flexible Scalability: Businesses can configure their server infrastructure from single units to expansive racks, meeting their evolving computational demands.
    • Enhanced Security: On-prem deployment with confidential compute prioritizes data privacy, ensuring sensitive information stays within enterprise boundaries and model integrity is maintained.

Bringing AI to Your Data

Different organizations have different needs with their own unique challenges and nuances for AI deployments. This collaboration between Dell Technologies and Google Cloud once again gives customers choice and allows them leverage technology accordingly to achieve success with AI. Bringing AI to your data is the next logical step in AI advancement as enterprises look to bring models to where their data lives and drive better and faster business outcomes.

Industry-leading Security and Data Control

Organizations managing sensitive or regulated data often seek trusted technology partners that offer solutions that allow them to maintain control over their data to meet industry regulations. By deploying AI on-prem via Google Distributed Cloud organizations can meet latency, regulatory and data residency requirements.

Gemini on Google Distributed Cloud with Dell PowerEdge servers takes security to the next step by implementing confidential computing end-to-end. Implementing security end-to-end requires careful design and consideration at each layer of the system including system firmware, operating system and device drivers. The industry-leading security implementation of the system ensures that both the models and data remain encrypted and secure all the way from system memory to GPU memory.

Cost-Effectiveness

The decision to implement AI technologies can be heavily reliant on the cost of technology, model deployment and training. Dell Technologies and Google Cloud provide organizations with the flexibility to choose solutions that align with their unique requirements. Whether leveraging cloud technology, utilizing on-premises infrastructure or both, this partnership ensures businesses can deploy the ideal configuration to meet their specific needs efficiently and securely.

Driving Data Innovation with Agentic AI

Gemini on Google Distributed Cloud with Dell PowerEdge servers introduces the concept of Agentic AI, providing enterprises with self-sufficient systems designed for independent reasoning and decision-making to enable use cases like.

    • Integrate siloed data for unified analytics.
    • Optimize workflows with pre-trained APIs for speech, translation and
      OCR.
    • Enable conversational AI applications for employees and customers.

These capabilities transform AI from a passive tool into an active contributor, driving meaningful innovation tailored to specific business workflows.

Building a Secure AI Future

For businesses navigating the complexities of AI-led transformation, this collaboration signifies a step forward. By integrating Gemini’s breakthrough family of AI models with Dell’s secure, scalable and performant infrastructure, enterprises can overcome obstacles like regulatory concerns and high operational costs, while unleashing the full potential of their data on their terms.

Bringing AI Systems to You

Whether you’re an IT decision-maker, a data scientist seeking advanced tools, or a business leader aiming to unlock AI’s value, Dell and Google have created a fully integrated generative AI solution built for the enterprise to bring AI to your on-premises data.

To find out more about a configuration that is right for your business, contact your Dell account manager.

1 NVIDIA projected performance vs. previous generation. Details.

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.