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Dell expands AI factory with NVIDIA to push enterprise AI beyond experiments
ET Online | May 19, 2026 3:38 AM CST

Synopsis

At Dell Technologies World 2026, Dell Technologies announced a major expansion of its Dell AI Factory with NVIDIA, introducing new infrastructure, AI-ready data platforms, and ecosystem partnerships designed to help enterprises scale AI deployments beyond experimental stages. The company unveiled Dell Deskside Agentic AI for secure local AI operations, expanded support for NVIDIA OpenShell, launched the PowerRack AI infrastructure platform, and introduced new storage and analytics solutions.

Michael Dell, CEO of Dell
At Dell Technologies World 2026, Dell Technologies announced a major expansion of its Dell AI Factory with NVIDIA, introducing new infrastructure, data platform upgrades, and ecosystem partnerships aimed at helping enterprises move AI projects from pilot stages into large-scale deployment.

The announcements focus on four key areas: agentic AI, AI-ready data infrastructure, next-generation rack-scale systems, and a broader partner ecosystem spanning companies including Google Cloud, Hugging Face, OpenAI, Palantir, ServiceNow, and NVIDIA.

Dell says more than 5,000 customers are already deploying solutions through the Dell AI Factory, with the company positioning the platform as a way for enterprises to run AI workloads on infrastructure they directly control.


One of the key launches is Dell Deskside Agentic AI, a local AI deployment solution powered by Dell workstations and NVIDIA NemoClaw. The platform is designed to help enterprises run autonomous AI agents locally without sending sensitive data to external cloud environments. Dell says the solution targets regulated sectors, software engineering teams, and research environments where data governance and predictable infrastructure costs are critical.

Dell also confirmed support for NVIDIA OpenShell across the Dell AI Factory stack, allowing organizations to scale agentic AI workloads from deskside systems to full data center deployments.

On the data side, Dell introduced multiple upgrades to the Dell AI Data Platform. The company says new orchestration and search capabilities can index billions of unstructured files and accelerate AI dataset creation. Dell also announced GPU-accelerated SQL analytics powered by Starburst and NVIDIA Blackwell GPUs, claiming up to six times faster query performance for enterprise AI workloads.

The company additionally expanded its storage portfolio with the new ObjectScale X7700 appliance and deeper integration with NVIDIA Omniverse to support digital twins, simulation workflows, and AI-driven enterprise environments.

Infrastructure remained another major focus. Dell introduced PowerRack, a fully integrated rack-scale platform combining compute, networking, storage, cooling, and management into a single system architecture built for AI and HPC workloads.
Other announcements included the Dell Pro Precision 7 R1 workstation, new rack management software updates, and the PowerCool CDU C7000 cooling distribution unit designed for next-generation NVIDIA AI platforms.
Jensen Huang, President and CEO of NVIDIA
Jensen Huang, President and CEO of NVIDIA

Beyond hardware, Dell also unveiled the Dell AI Ecosystem Program, which aims to help software providers validate AI solutions directly on Dell AI Factory infrastructure.

Among the larger ecosystem announcements, Google and Dell are collaborating to bring Gemini models to on-premise enterprise deployments through Google Distributed Cloud running on Dell PowerEdge servers. OpenAI is also working with Dell to connect Codex with Dell AI Data Platform environments, allowing enterprises to integrate AI agents more closely with internal codebases, workflows, and operational systems.

Dell further announced collaborations with Palantir, Reflection AI, SpaceXAI, and ServiceNow focused on enterprise AI deployment, governance, automation, and sovereign AI infrastructure.

Michael Dell, Chairman and CEO of Dell Technologies, said enterprises now face pressure to rapidly convert AI investments into operational impact while maintaining security, governance, and cost efficiency.

NVIDIA CEO Jensen Huang described enterprise AI adoption as entering a new phase driven by agentic AI workloads, with Dell and NVIDIA positioning the AI Factory as a full-stack infrastructure approach spanning desktops to hyperscale deployments.


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