The company says its latest updates are designed to address what many enterprises currently face as “AI execution challenges” where issues around data quality, governance, infrastructure complexity, and operational costs continue to slow adoption.
Dell Technologies We announced a significant expansion of the Dell AI Factory in collaboration with NVIDIA. The goal is to help organizations accelerate AI adoption and move projects from pilot to full-scale operations by introducing new infrastructure, data platform enhancements, and enterprise AI solutions.
The company says its latest updates are designed to address what many enterprises currently face as “AI execution challenges” where issues around data quality, governance, infrastructure complexity, and operational costs continue to slow adoption. Dell said more than 5,000 customers have already deployed Dell AI Factory, and the enhanced portfolio is focused on helping organizations securely scale their AI workloads while maintaining control of 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 service enables businesses to build and run autonomous AI agents locally, ensuring sensitive data remains on the device rather than being processed through public cloud services. Dell says the solution targets sectors such as software engineering, academic research, and highly regulated industries where data sovereignty and predictable infrastructure costs are important.
Dell also announced support for NVIDIA OpenShell across the Dell AI Factory ecosystem. This enables enterprises to build, deploy, and manage AI agents with integrated privacy and governance controls. The company added that the Dell-NVIDIA AI-Q 2.0 reference architecture extends these capabilities with production-ready workflows tailored for regulated industries.
To better support enterprise AI data, Dell introduced significant upgrades to the Dell AI Data Platform. This includes enhanced orchestration and search capabilities that can index billions of unstructured files and connect them to managed AI data pipelines. The company also highlights enhancements to the Dell Data Analytics Engine powered by Starburst, which it says can deliver up to 6x faster SQL query performance on NVIDIA Blackwell GPUs.
Dell further expands its storage portfolio with the new ObjectScale X7700 appliance, increasing storage density for AI workloads and lowering total cost of ownership. The platform is designed to support digital twins and AI-driven simulation through integration with the NVIDIA Omniverse library, allowing organizations to connect large data repositories to AI training and validation environments.
On the infrastructure side, Dell introduced PowerRack, a fully integrated rack-scale AI system that combines 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 PowerCool CDU C7000 cooling distribution unit designed for next-generation AI platforms.
Dell also announced broader ecosystem expansion through the new Dell AI Ecosystem program, designed to help software vendors validate their AI solutions on Dell’s infrastructure. The company revealed collaborations with several leading technology companies, including Google, OpenAI, Palantir Technologies, ServiceNow, and Hugging Face.
Among the announced partnerships, Dell and Google are working to bring Gemini AI models to on-premises Dell PowerEdge servers, and Dell and OpenAI are integrating Codex with the Dell AI Data Platform to help enterprises connect AI systems directly to internal data, workflows, and codebases. Dell also confirmed new partnerships including 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 under increasing pressure to quickly translate AI capabilities into measurable business outcomes. NVIDIA Founder and CEO Jensen Huang added that enterprise AI adoption is rapidly accelerating and that Dell and NVIDIA are building an end-to-end AI infrastructure that spans from the desktop to the data center to support the next phase of AI-driven productivity.
