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…
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