Dell Expands AI Factory with NVIDIA to Accelerate Enterprise AI Adoption
The company said the latest updates are designed to address what many enterprises now face as an “AI execution problem,” where issues around data quality, governance, infrastructure complexity, and operational costs continue to slow deployment.
Dell Technologies has unveiled a major expansion of the Dell AI Factory with NVIDIA, introducing new infrastructure, data platform enhancements, and enterprise AI solutions aimed at helping organizations accelerate AI adoption and move projects from pilot stages into full-scale production.
The company said the latest updates are designed to address what many enterprises now face as an “AI execution problem,” where issues around data quality, governance, infrastructure complexity, and operational costs continue to slow deployment. Dell noted that more than 5,000 customers are already deploying the Dell AI Factory, with the enhanced portfolio focused on helping organizations scale AI workloads securely while maintaining control over their data and infrastructure.
A key announcement is the launch of Dell Deskside Agentic AI, a solution powered by Dell workstations and NVIDIA NemoClaw technology. The offering allows enterprises to build and run autonomous AI agents locally, ensuring sensitive data remains on-device rather than being processed through public cloud services. Dell said the solution is targeted at sectors such as software engineering, academic research, and highly regulated industries where data sovereignty and predictable infrastructure costs are critical.
Dell also announced support for NVIDIA OpenShell across the entire Dell AI Factory ecosystem, enabling enterprises to build, deploy, and manage AI agents with integrated privacy and governance controls. The company added that its Dell-NVIDIA AI-Q 2.0 Reference Architecture extends these capabilities with production-ready workflows tailored for regulated industries.
To strengthen enterprise AI data readiness, Dell introduced significant upgrades to the Dell AI Data Platform. These include improved orchestration and search capabilities that can index billions of unstructured files and connect them into governed AI data pipelines. The company also highlighted enhancements to the Dell Data Analytics Engine powered by Starburst, which it said can deliver up to six times faster SQL query performance on NVIDIA Blackwell GPUs.
Dell further expanded its storage portfolio with the new ObjectScale X7700 appliance, offering higher storage density and lower total cost of ownership for AI workloads. The platform is also designed to support digital twins and AI-driven simulations through integration with NVIDIA Omniverse libraries, enabling organizations to connect large-scale data repositories into AI training and validation environments.
On the infrastructure side, Dell introduced PowerRack, a fully integrated rack-scale AI system combining compute, networking, storage, cooling, and management into a single architecture optimized for AI and high-performance computing workloads. Additional hardware updates include the Dell Pro Precision 7 R1 compact rack workstation and the PowerCool CDU C7000 cooling distribution unit designed for next-generation AI platforms.
Dell also announced a broad ecosystem expansion through its new Dell AI Ecosystem Program, aimed at helping software vendors validate AI solutions on Dell infrastructure. The company revealed collaborations with several major technology firms, including Google, OpenAI, Palantir Technologies, ServiceNow, and Hugging Face.
Among the collaborations announced, Dell and Google are working to bring Gemini AI models to on-premises Dell PowerEdge servers, while Dell and OpenAI are integrating Codex with the Dell AI Data Platform to help enterprises connect AI systems directly with internal data, workflows, and codebases. Dell also confirmed new partnerships involving AI deployments from Palantir, Reflection AI, SpaceXAI’s Grok, and several cybersecurity and automation vendors.
Michael Dell, Chairman and Chief Executive Officer of Dell Technologies, said organizations are increasingly under pressure to rapidly convert AI capabilities into measurable business outcomes. NVIDIA founder and CEO Jensen Huang added that enterprise AI adoption is accelerating rapidly, with Dell and NVIDIA building end-to-end AI infrastructure spanning desktops to data centers to support the next phase of AI-driven productivity.
