AI
AI
AI
Artificial intelligence is no longer a side project. It has become the foundation of enterprise infrastructure and the next frontier for data center modernization.
Dell Technologies Inc. is responding with a new generation of modular, scalable AI systems designed for real-world enterprise adoption, where reliability, integration and rapid time to value are paramount. By tackling practical challenges with tested full-stack systems and validated designs, Dell is helping organizations embed AI into core operations. In collaboration with partners such as Nvidia Corp., Advanced Micro Devices Inc., Intel Corp., Red Hat Inc. and Hugging Face Inc., Dell provides enterprises with the tools needed to innovate and stay competitive in an AI-first era, according to Adam Glick (pictured), senior director of AI portfolio marketing at Dell Technologies.
“We’ve built the Dell AI Factory with Nvidia,” Glick said. “The whole idea is that you’ve got something that is [so] massively scalable that people can start out with whatever their early workloads are, they can start small and literally just stack that up, not only just within a rack, but create rack-scale deployments.”
With more than 20 years of experience at tech giants such as Amazon Web Services Inc., Microsoft Corp. and Google LLC, Glick has been instrumental in shaping digital transformation strategies, including launching cloud and hybrid cloud solutions. Currently at Dell, he leads AI marketing across ISG products and partners — a role that has expanded significantly with Dell’s 2025 refresh of its AI Factory lineup, including new PowerEdge servers, ObjectScale upgrades and Spectrum-X networking innovations.
Glick previously discussed with theCUBE, SiliconANGLE Media’s livestreaming studio, how Dell Technologies, in partnership with Nvidia, is advancing enterprise AI adoption through scalable infrastructure such as the Dell AI Factory. He outlined how the portfolio has evolved into a next-generation platform supporting agentic AI, real-time inference and multi-accelerator flexibility.
This feature is part of SiliconANGLE Media’s ongoing series exploring the evolution of enterprise AI infrastructure and the systems powering the next generation of intelligent data centers. (* Disclosure below.)
Under Glick’s leadership, Dell unveiled the original Dell AI Factory — and in 2025, that vision expanded with the Dell AI Factory with Nvidia 2.0, a suite of validated solutions designed for enterprises to scale AI quickly and safely. The updated platform now includes new PowerEdge XE9780 and XE9785 servers powered by Nvidia’s Blackwell Ultra GPUs, ObjectScale software-defined storage with RDMA acceleration, and integrated Red Hat OpenShift orchestration.
This adaptability empowers companies to customize their AI capabilities to meet unique operational requirements, from model training to real-time agentic inference across hybrid and multicloud environments, according to Glick.
“The AI transformation that we’re seeing is really a Cambrian explosion,” he told theCUBE. “You’re talking about the people who are on the forefront or not. You need to avoid being left behind because what you can do with AI is just amazing.”
The AI Factory exemplifies Dell’s commitment to seamless integration. Through its partnership with Nvidia, Dell has streamlined AI infrastructure with end-to-end validation — from compute and networking to data pipelines, MLOps frameworks and model deployment workflows, Glick explained.
“We make it super simple to be able to take the hardware,” he said. “There’s a lot of work that’s gone together to integrate these two pieces.”
In addition to hardware, Dell AI Factory solutions include a rigorously tested and optimized software stack. Recent enhancements include support for Nvidia NeMo microservices, Hugging Face open-weight models and Dell’s new Application Catalog for deploying enterprise-ready AI apps directly on-premises. This process ensures that enterprises can deploy their AI initiatives rapidly and at scale. From networking to the software ecosystem, Dell’s comprehensive approach delivers durable, efficient performance tailored to enterprise needs.
“We’ve worked a lot with our friends at Nvidia,” Glick said. “There’s a lot of work that’s gone together to integrate these two pieces. It’s not just the hardware pieces and the machines that go together, but it’s also the networking and the software stack, [which is] tested, integrated [and] optimized to be able to deploy that and deploy it fast and at scale to deliver solutions that our customers are looking for.”
New in 2025, Dell also began offering managed AI Factory services — handling infrastructure operations, upgrades and monitoring — to flatten the learning curve for enterprises adopting AI at scale.
One of Dell’s key objectives is to democratize AI, making it accessible to organizations at every stage of their AI journey. This vision is embodied in the Dell AI Factory, which lowers barriers to entry and enables companies to harness powerful AI tools and technologies, according to Glick.
“You’re going to see greater and greater adoption,” he told theCUBE. “The organizations that get in sooner, they’re going to get the greatest advantage out of that because everything has a learning curve. As much as we try and integrate it, make it fast for people, everyone goes through that curve. We try and flatten that curve for folks, but ultimately you got to get on the curve in order to start get [to] that benefit.”
Dell’s latest enhancements directly address that curve. The AI Factory’s modular approach now supports multi-vendor accelerators (Nvidia, AMD and Intel Gaudi 3) and new deployment models across data centers, edge environments and AI PCs such as the Dell Pro Max and Pro Max Plus. This flexibility lets enterprises start small — even at the device level — and expand to rack-scale or multi-rack clusters when ready.
There is an urgency for embracing AI solutions now, according to Glick. By providing scalable and integrated platforms, Dell enables enterprises to overcome implementation challenges and unlock the full potential of Dell AI solutions, according to Glick.
“Productivity’s going to go through the roof,” he said. “Everyone I know that starts using these tools just sees it. We see it from internal data, what I see from my own teams, what I see from other teams, and we see it from our customers.”
That productivity promise is increasingly supported by customer deployments. Dell’s Infrastructure Solutions Group reported record growth in 2025, driven by enterprise adoption of Dell’s AI-optimized systems and validated designs.
This rapid adoption of AI is creating unprecedented opportunities for transformation across industries. From small startups to global enterprises, the potential for AI-driven innovation is reshaping the competitive landscape. Yet as companies scale these capabilities, new challenges are emerging — from GPU availability and cooling costs to data governance and sustainability.
“People that build their factories now will be able to expand that when the new innovations come out together to be able to continue to grow that and drive the innovation in their organizations,” Glick added.
Collaboration remains a cornerstone of Dell’s AI strategy. By leveraging Nvidia’s expertise in AI hardware and software alongside Dell’s enterprise-focused solutions, and expanding partnerships with Red Hat, Hugging Face and IBM, Dell delivers a comprehensive toolkit for success. These solutions meet businesses wherever they are in their AI journey — whether launching pilot projects or scaling proven concepts to deliver tangible value.
“There’s a number of pieces that go into that,” he explained. “First and foremost, Nvidia’s been creating some incredible software … they work and they help build these things as we come up with our DRDs, our designs for these things. We’re working with them, with the software that’s integrated, with the hardware and the services to help make sure that people can stay up to date on that.”
Today, Dell’s AI Factory architecture is evolving into a distributed platform — one that connects centralized clusters, on-premises data and intelligent edge systems into a unified agentic workflow. As Glick and his team continue refining this ecosystem, Dell is positioning itself not only as a hardware provider but as a full-stack AI infrastructure company.
“We’ve seen the companies on the forefront that dive into that, what a transformational effect it can have on the organization,” he stated. “I think you’re just going to see that multiply, that it’s more and more organizations realize how much this can benefit them, can benefit their customers, can benefit their constituents [and] can benefit their employees.”
As Dell prepares for the next phase of AI infrastructure — integrating Blackwell Ultra GPUs, agentic AI frameworks and open model ecosystems — the company’s long-term bet is clear: to make AI a core, standardized layer of enterprise operations.
(* Disclosure: TheCUBE is a paid media partner. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)
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