With SC25, Dell Technologies and NVIDIA are introducing new updates to their joint AI platform aimed at making it easier for organizations to run a wide range of AI workloads, from older models to newer agent-style systems.
As more companies expand their AI plans, many run into the same issues. They must manage an ever-increasing combination of hardware and software, manage data, and ensure that their systems can scale over time. Recent research shows that most organizations feel safer working with trusted partners when implementing new technology, and many see more value in having AI work closer to their data.
Dell AI Factory and NVIDIA are built on that idea. It combines Dell’s full-stack infrastructure with NVIDIA’s AI tools and is supported by Dell’s Professional Services team. The goal is to help companies move from ideas to real results while reducing technical complexity.
Rapid deployment with unified platform
Dell is expanding storage and AI capabilities to help organizations automate setup, improve performance, and run real-time AI tasks more consistently. ObjectScale and PowerScale, the storage engines behind the Dell AI Data Platform, now work with the NVIDIA NIXL library in NVIDIA Dynamo. This integration supports scalable KV cache storage and sharing, enabling a 1-second first-token time with a context window of 131K tokens, while reducing cost and strain on GPU memory.
Dell AI Factory with NVIDIA also adds support for Dell PowerEdge XE7740 and XE7745 systems with NVIDIA RTX PRO 6000 Blackwell Server Edition GPU and NVIDIA Hopper GPU. According to Dell, these systems enable organizations to run larger multimodal models, agent-style workloads, training tasks, and enterprise inference with stronger performance.
According to Dell, the addition of the Dell Automation Platform is aimed at eliminating guesswork by providing a calibrated and verified deployment through a secure setup. The platform aims to produce reproducible results and give teams a clearer path to building AI workflows. In addition to this, software tools like Tabnine’s AI Code Assistant and Cohere North’s Agent AI Platform are also automated to help teams move workloads into production faster and make operations easier to manage as they scale.
Beyond core data center systems, Dell’s AI PC ecosystem now supports devices with NVIDIA RTX Blackwell GPUs and NVIDIA RTX Ada GPUs, giving organizations more hardware options across Dell laptops and desktops. Dell Professional Services also offers interactive pilots to test AI ideas using customers’ own data before making a larger investment. These pilots focus on clear metrics and results to help teams more confidently determine business value.
Next-generation infrastructure for stronger AI performance
Dell is updating its infrastructure portfolio to support more complex AI and HPC workloads, with a focus on performance, scale, and ease of management. The Dell PowerEdge XE8712, launching next month, will support up to 144 NVIDIA Blackwell GPUs in a standard rack. This makes rack-scale AI and HPC more accessible with integrated monitoring and automation through iDRAC, OpenManage Enterprise, and a unified rack controller.
Dell Technologies’ Enterprise SONiC Distribution now supports the NVIDIA Spectrum-X platform along with NVIDIA’s Cumulus OS. This allows organizations to build open, standards-based AI networks that can operate across different vendors. The latest SmartFabric Manager release also extends support for Dell Enterprise SONiC on the NVIDIA Spectrum-X platform, aiming to reduce deployment time and setup errors through guided automation.
More choices with an expanded AI ecosystem
As organizations continue to adjust their AI budgets and plans, many are looking for flexibility in the tools they choose. Red Hat OpenShift for Dell AI Factory powered by NVIDIA is now validated on more Dell PowerEdge systems, giving teams more ways to run AI workloads at scale.
Support currently includes both Dell PowerEdge R760xa and Dell PowerEdge XE9680 with NVIDIA H100 and H200 Tensor Core GPUs. This combination brings together Red Hat’s control and governance tools with Dell’s secure infrastructure, providing a clearer path for businesses looking to scale AI.
Dell executives said the update is aimed at helping organizations move from small pilots to live deployments. Jeff Clarke, vice chairman and chief operating officer of Dell Technologies, said the Dell AI Factory and NVIDIA address a central challenge for many teams: “How do you go from an AI pilot to production without rebuilding your infrastructure?” He added that he believes Dell has “done the integration work in such a way that customers don’t have to do any integration work,” allowing organizations to deploy and scale with more confidence.
NVIDIA views this shift as part of a broader shift in how enterprises use AI. Justin Boitano, vice president of enterprise AI products, said this is a moment in time when enterprise AI is moving from experimentation to transformation, advancing at a pace that is “redefining how businesses operate.” He said Dell and NVIDIA aim to support this transition with a unified platform that brings together infrastructure, automation, and data tools to help organizations “deploy AI at scale and achieve measurable impact.”
Industry analysts expect similar demand for integrated systems. Ashish Nadkarni, group vice president and general manager of infrastructure systems, platforms and technology at IDC, said many teams are looking for AI-enabled systems that are powerful yet easy to run. He said the combination of Dell’s AI portfolio and NVIDIA’s technology is “a major step forward in delivering enterprise-ready AI.”
(Image provided by Dell Technologies)
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