How Dell Helps Enterprises Build In-House AI Factories

AI is moving in-house and Dell is paving the way for that transition.  

Dell Technologies has announced significant advancements to the Dell AI Factory with NVIDIA, targeting organisations that are increasingly opting to develop AI capabilities in-house and on-premises rather than relying solely on cloud-based solutions.

The Dell AI Factory with NVIDIA launched in March 2024 and has since achieved more than 4,000 customer deployments, with early adopters reporting up to 2.6 times return on investment (ROI) within just the first year.

The platform is powered by NVIDIA GPUs, networking and AI software designed to handle retrieval-augmented generation and multimodal search for agentic workflows and large-scale data processing.

The updates announced in March are categorised into four key areas: desktop AI development and autonomous agents, production AI at scale, enterprise workloads in the data centre and high-performance networking with emerging technologies.

These enhancements represent a shift towards making enterprise AI more accessible and practical for organisations building their own AI infrastructure.

Desktop AI development capabilities

The Dell Pro Max with GB10 and GB300 are supercomputers designed for desktop deployment.

These systems are purpose-built to handle complex, long-running AI programmes and can learn and adapt as they operate, providing the computing power, memory and reliability needed to develop and test AI at trillion-parameter scale.

Dell has become the first manufacturer to incorporate the NVIDIA GB300 Grace Blackwell chip into a desktop machine.

"We're the first original equipment manufacturer (OEM) to ship the GB300 Grace Blackwell Ultra Desktop Superchip with our Dell Pro Max desktop, bringing enterprise-grade AI computing directly to developers' desks," explains Arthur Lewis, President of Infrastructure Solutions Group for Dell Technologies.

Additionally, the new Dell Pro Precision workstations are designed as next-generation systems for AI developers and data scientists.

They are available in different formats to suit various needs, including a tower configuration that can accommodate up to five NVIDIA RTX PRO Blackwell Desktop Generation GPUs and laptop variants that still deliver significant performance for AI development work.

Production AI at scale

Dell's PowerEdge servers are designed to enhance capabilities at the data centre level.

These systems deliver the performance required for training large language models and running real-time inference for autonomous AI agents.

The PowerEdge XE9812 uses the NVIDIA Vera Rubin NVL72 platform to handle tasks like real-time training and inference, enabling instant results from trained AI models.

Meanwhile, the PowerEdge XE9880L, XE9882L and XE9885L comprise a series of water-cooled servers that utilise the NVIDIA HGX Rubin NVL8.

Their design focuses on improving AI performance within existing server rooms without requiring additional electricity consumption.

Enterprise workloads and networking

The Dell PowerEdge R770, R7715 and R7725 servers allow organisations to integrate AI capabilities into their existing server infrastructure.

By configuring them with the new NVIDIA RTX PRO 4500 Blackwell Server Edition GPU, teams can add specialised AI processing power to their standard equipment.

Dell has also unveiled new components focused on the networking and physical infrastructure required to connect AI servers within a data centre.

The Dell PowerSwitch SN6000-series are high-speed network switches designed to move substantial amounts of data – up to 1.6Tbs – quickly, with water-cooling capabilities for efficient operation.

The PowerSwitch SN5610 and SN2201 offer data centre teams greater flexibility by supporting a wider variety of operating systems, including Cumulus Linux and Enterprise SONiC Distribution by Dell Technologies.

The NVIDIA Quantum-X800 InfiniBand Q3300-LD is a liquid-cooled switch that uses InfiniBand technology to deliver extremely fast, dedicated networking for AI workloads and cloud applications requiring high bandwidth.

The Dell Integrated Rack Scalable Systems provides a physical rack setup where all servers and network equipment are housed together.

"For enterprises still stuck between pilot and production, the lesson is simple: integration matters, data readiness matters, deployment expertise matters," Lewis says.

"A partner who delivers all three is the difference between AI as an experiment and AI as a business driver."

These announcements were made at NVIDIA GTC 2025, taking place from 16 March to 19 March in San Jose, California.