Dell expands AI Factory with NVIDIA for enterprise use
Wed, 21st Oct 2026 (Today)
Dell has expanded its Dell AI Factory with NVIDIA with new AI software, deskside systems and server infrastructure. More than 6,500 enterprises have now adopted the offering.
The update includes validated AI models and software partnerships, new deployment templates for deskside agentic AI, and additional PowerEdge systems for larger AI workloads in data centres and at the network edge.
Dell is positioning the additions around a common enterprise concern: how to move AI projects from pilot stage into day-to-day operations while keeping control of data, governance and spending on privately managed infrastructure.
The latest expansion includes a validated version of Reflection's Beam open-weight model for software engineering and longer-horizon agentic tasks. Dell also added new or updated validated solutions through its Dell AI Ecosystem Program, covering AI observability with Dynatrace, a knowledge assistant and agentic AI platform with Mistral, and computer vision with Fogsphere.
SUSE Linux has also been added to the software stack available through the Dell AI Factory with NVIDIA, widening operating system choice for customers building AI environments.
Security focus
Another part of the announcement centres on security and governance for AI agents. Dell is delivering a layered security architecture built on the Dell AI Factory with NVIDIA, combining hardware-rooted infrastructure, the NVIDIA OpenShell Reference Architecture for runtime governance, and Red Hat AI Factory software for orchestration.
The approach is intended to cover runtime, network, data and infrastructure layers as organisations run autonomous AI agents at enterprise scale.
Dell also outlined managed services for AI designed to help organisations allocate resources, govern user access, and monitor AI consumption and costs. The aim is to give development teams self-service access to AI tools while allowing IT departments to retain financial and operational control.
Deskside push
Another area of focus is deskside AI systems for developers and enterprise users. Dell is expanding Dell Deskside Agentic AI with validated reference deployment templates that specify hardware, AI models and software stacks for use cases 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 let customers scale from a single developer setup to enterprise deployments of 1,000 systems or more.
The hardware range is also widening. Dell Pro Precision with GB10 will be offered with 64GB of unified memory, aimed at individual developers and smaller teams working on local agentic AI development. The system can be linked in clusters of two or four machines for larger models and more complex workflows.
Dell Pro Precision with GB300 will also be available with Windows, offering up to 748GB of coherent memory and 20 petaflops of FP4 compute in a desktop form factor intended for enterprise-managed environments.
Data centre systems
For larger-scale deployments, Dell introduced several infrastructure products tied to AI workloads. These include the Dell Modular Data Centre with NVIDIA DSX POD, a containerised reference design that combines compute, storage, networking, rack-level power and liquid cooling.
The system is designed to reduce on-site integration work by allowing customers to connect to prepared power.
Dell also unveiled the PowerEdge M9882 server, which it said packs 256 NVIDIA Vera CPUs into a single 48U rack for agentic AI execution tasks such as orchestration, tool use, code execution and evaluation alongside GPU-based inference systems.
Another new system, the PowerEdge R8822, brings two-socket NVIDIA Vera CPU performance to standard 19-inch air-cooled rack environments. It is aimed at workloads including agent orchestration, sandboxing, reinforcement learning, data processing and analytics, with support for up to four double-wide GPUs.
Dell also announced the PowerEdge XE9810 server, which it said will deliver rack-scale inference using 16 direct-liquid-cooled compute trays powered by Groq 3 Language Processing Units.
At the network edge, new NVIDIA Aerial RAN Computer platforms running on Dell PowerEdge servers are aimed at communications service providers seeking to run radio access network and AI workloads on the same systems rather than on separate infrastructure.
Michael Dell, Chairman and Chief Executive Officer of Dell Technologies, said: "Enterprises used to think about AI infrastructure as an IT budget question, but that's changed. AI infrastructure is no longer a cost centre. It's a value creation centre. 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 centre-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 organisations move from pilots to production with greater confidence and less risk."