At SC25, Dell Technologies and NVIDIA introduced new updates to their joint AI platform, aiming to make it easier for organisations to run a wider range of AI workloads, from older models to newer agent-style systems.
As more companies scale their AI plans, many run into the same issues. They need to manage a growing mix of hardware and software, keep control of their data, and make sure their systems can grow over time. Recent research shows that most organisations feel safer working with a trusted partner when adopting new technology, and many see more value when AI can operate closer to their own data.
The Dell AI Factory with NVIDIA is built around that idea. It combines Dell’s full stack of infrastructure with NVIDIA’s AI tools, supported by Dell’s professional services team. The goal is to help companies move from ideas to real results while keeping technical complexity in check.
Faster deployment through integrated platforms
Dell is expanding its storage and AI capabilities to help organisations automate setup, improve performance, and run real-time AI tasks with more consistency. ObjectScale and PowerScale, the storage engines behind the Dell AI Data Platform, now work with the NVIDIA NIXL library from NVIDIA Dynamo. This integration supports scalable KV Cache storage and sharing, enabling a one-second Time to First Token at a 131K-token context window, while helping reduce costs and ease pressure on GPU memory.
The Dell AI Factory with NVIDIA also adds support for Dell PowerEdge XE7740 and XE7745 systems equipped with the NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and NVIDIA Hopper GPUs. According to Dell, these systems give organisations more room to run larger multimodal models, agent-style workloads, training tasks, and enterprise inferencing with stronger performance.
Dell says the addition of the Dell Automation Platform is meant to remove guesswork by delivering tuned and validated deployments through a secure setup. The platform aims to produce repeatable results and give teams a clearer path to building AI workflows. Alongside this, software tools such as the AI code assistant with Tabnine and the agentic AI platform with Cohere North are becoming automated, helping teams move workloads into production faster and keep operations manageable as they scale.
Beyond core data-centre systems, Dell’s AI PC ecosystem now supports devices with NVIDIA RTX Blackwell GPUs and NVIDIA RTX Ada GPUs, giving organisations more hardware options across Dell laptops and desktops. Dell Professional Services is also offering interactive pilots that use a customer’s own data to test AI ideas before large investments. These pilots focus on clear metrics and outcomes so teams can judge business value with more certainty.
Next-generation infrastructure for stronger AI performance
Dell is updating its infrastructure portfolio to support more complex AI and HPC workloads, with an emphasis on performance, scale, and easier management. The Dell PowerEdge XE8712, arriving next month, supports up to 144 NVIDIA Blackwell GPUs in a standard rack. This makes rack-scale AI and HPC more accessible, backed by unified monitoring and automation through iDRAC, OpenManage Enterprise, and the Integrated Rack Controller.
Enterprise SONiC Distribution by Dell Technologies now supports NVIDIA Spectrum-X platforms along with NVIDIA’s Cumulus OS. This helps organisations build open, standards-based AI networks that can operate across different vendors. The latest SmartFabric Manager release also extends support to Dell’s Enterprise SONiC on NVIDIA Spectrum-X platforms, aiming to reduce deployment time and setup errors through guided automation.
More choice through an expanded AI ecosystem
Organisations continue to adjust their AI budgets and plans, and many want flexibility in the tools they choose. Red Hat OpenShift for the Dell AI Factory with NVIDIA is now validated on more Dell PowerEdge systems, giving teams more ways to run AI workloads at scale.
Support now includes both the Dell PowerEdge R760xa and the Dell PowerEdge XE9680 with NVIDIA H100 and H200 Tensor Core GPUs. This pairing brings together Red Hat’s controls and governance tools with Dell’s secure infrastructure, offering a clearer path for companies that need to scale AI.
Dell executives say the updates are meant to help organisations move from small pilots to real deployment. Jeff Clarke, vice chairman and chief operating officer at Dell Technologies, said the Dell AI Factory with NVIDIA addresses a core challenge for many teams: “how to move from AI pilots to production without rebuilding their infrastructure.” He added that Dell has “done the integration work so customers don’t have to,” which he believes will help organisations deploy and scale with more confidence.
NVIDIA sees the shift as part of a broader change in how companies use AI. Justin Boitano, vice president of Enterprise AI products, described the moment as one where enterprise AI is moving from experimentation to transformation, advancing at a speed 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 organisations “deploy AI at scale and realise measurable impact.”
Industry analysts see similar demand for integrated systems. Ashish Nadkarni, group vice president and general manager for Infrastructure Systems, Platforms and Technologies at IDC, said many teams want AI-ready systems that are powerful but also easier to run. He noted that the combination of Dell’s AI portfolio with NVIDIA’s technology represents “a significant step forward in delivering enterprise-ready AI.”
(Image by Dell Technologies)
See also: 10% of Nvidia’s cost: Why Tesla-Intel chip partnership demands attention
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