Dell has expanded its Dell AI Factory with NVIDIA with new software, deskside systems and data-centre infrastructure for agentic AI. More than 6,500 customers have adopted the offering.
The update includes validated models and software, managed services, desktop and workstation configurations, modular data-centre designs and new PowerEdge servers for organisations running AI workloads on their own infrastructure.
Dell is positioning the package around a growing enterprise push to move agentic AI projects beyond the pilot stage. It said businesses want greater control over data, operations and costs as they deploy AI agents more widely across development teams, office environments and core infrastructure.
Among the software additions, Reflection's Beam open-weight model has been validated on the Dell AI Factory with NVIDIA. Dell also added or updated ecosystem programme solutions for AI observability with Dynatrace, a knowledge assistant and agentic AI platform with Mistral, and computer vision with Fogsphere.
SUSE Linux will be added as an operating system option for the stack. Dell also outlined a layered security approach combining Dell infrastructure, the NVIDIA OpenShell Reference Architecture for runtime governance and Red Hat AI Factory software for orchestration.
Alongside the platform changes, Dell introduced Dell Managed Services for AI. The service is intended to help customers govern access to AI resources, manage consumption and monitor costs as projects move from early trials into broader operational use.
Deskside systems
Dell also expanded its deskside agentic AI offering, reflecting its view that AI workloads will increasingly be distributed between central infrastructure and systems used by individual developers and teams.
The expansion includes new validated reference deployment templates for Dell Deskside Agentic AI Solutions for NVIDIA. Dell said the templates set out the hardware, models and software stack for uses including agentic coding, agentic VSS, NVIDIA NemoClaw, Hermes Agent on NemoClaw and a higher education AI lab platform.
According to Dell, the templates are designed to scale from a single developer system to deployments of 1,000 or more systems. It also introduced a 64GB unified memory configuration for Dell Pro Precision with GB10, aimed at individual developers and smaller teams working on local agentic AI development.
The desktop can be linked in clusters of two or four systems to support larger models and more complex workflows. Dell also said Dell Pro Precision with GB300 will be offered with Windows, bringing up to 748GB of coherent memory and 20 petaflops of FP4 compute to deskside environments already managed by enterprise IT teams.
Data-centre buildout
In the data centre, Dell announced a modular reference design called the Dell Modular Data Centre with NVIDIA DSX POD. The containerised design includes compute, storage, networking, rack-level power and liquid cooling, and is intended to reduce on-site integration work by allowing connection to prepared power infrastructure.
Dell also detailed several new server platforms. The Dell PowerEdge M9882 is a CPU-focused system that places 256 NVIDIA Vera CPUs in a single 48U rack for workloads such as orchestration, tool use, code execution and evaluation alongside GPU-based inference systems.
Dell said the aim is to separate CPU resources from GPU clusters rather than rely on mixed-use servers, which can complicate power and cooling management. Another system, the Dell PowerEdge R8822, targets more conventional 19-inch rack environments, with support for agentic AI tasks, reinforcement learning, data processing and analytics, as well as up to four double-wide GPUs.
Dell also announced the Dell PowerEdge XE9810 for rack-scale inference. The server will use 16 direct-liquid-cooled compute trays powered by Groq 3 Language Processing Units for high-throughput inference in production AI deployments.
At the network edge, Dell is working with NVIDIA on Aerial RAN Computer platforms running on Dell PowerEdge servers. These are aimed at communications service providers that want radio access network and AI workloads to run on a shared compute footprint rather than on separate systems.
Michael Dell, chairman and chief executive officer of Dell, said: "Enterprises used to think about AI infrastructure as an IT budget question, but that's changed. AI infrastructure is no longer a cost center. It's a value creation center. Companies are expanding and reallocating budgets because AI infrastructure drives growth, productivity and competitive advantage. Together with NVIDIA, we are giving enterprises the integrated platforms they need to move agentic AI from experimentation to results, on infrastructure they own and control."
Jensen Huang, founder and chief executive officer of NVIDIA, said: "AI agents reason, use tools and learn-and they need a new kind of computer. Together, Dell and NVIDIA are building the computing foundation for the age of AI-from the deskside to the data center-so companies can build and run AI agents securely at industrial scale."
Matt Kimball, vice president and principal analyst at Moor Insights & Strategy, said: "The market is entering a new phase where customers are focused less on building AI infrastructure and more on generating measurable business outcomes. The continued expansion of the Dell AI Factory with NVIDIA reflects a mature approach that combines validated solutions, ecosystem integration, automation and services, helping organizations move from pilots to production with greater confidence and less risk."