Dell Expands AI Data Platform to Ground Agents in Enterprise Context

Dell AI Data Platform, the data foundation of the Dell AI Factory, expands with new data orchestration and storage capabilities

ROUND ROCK, Texas, Oct. 6, 2026 — Dell Technologies is expanding the Dell AI Data Platform so AI systems deliver better answers, cost less to run and reach production faster, giving applications and agents trusted, current context from a company’s own data.

In most cases the model isn’t the bottleneck to achieving enterprise scale for AI. The data is. A company’s most useful information sits in files, databases, cloud services and systems across multiple sites. Most of it was created long before anyone expected an AI agent to read it. It was never labeled, connected or organized with a machine reader in mind. As a result, agents burn tokens reconstructing answers that should already exist. Every query means more steps, more compute, more cost and slower, less trustworthy results.

The Dell AI Data Platform is built end to end, from where data is stored to where agents use it. Storage moves critical data to accelerated compute without bottlenecks; orchestration connects and prepares it; analytics and search transform and index it. NVIDIA Nemotron Retriever models enable document parsing, embedding and reranking. NVIDIA cuVS accelerates vector indexing and search. Because every layer runs on one platform, everything it produces traces back to governed data the customer already owns. Agents return to the same documents, history and decisions repeatedly, and most systems rebuild their understanding from scratch every time. That means answering the same two questions on every request: what does this term mean and how does it relate to everything else? Dell is extending the Dell AI Data Platform with three new features to answer both at once.

The Unified Semantic Layer, Knowledge Graph and Knowledge Agents hold a customer’s most valuable and sensitive information, so they stay inside the platform in the customer’s data center. The platform builds context from that data, keeps it current as the business changes and shares it across every application and agent, without locking customers into any single model, data or storage provider.

Acceleration and Security Built into the Data Path

Business context is only reliable if data is accurate, current and governed from source to application. Customers should not have to adopt another proprietary layer to accelerate different parts of their data environment. Dell brings acceleration into the data engines themselves, working with NVIDIA across the data path. Data must be transformed and analyzed, then reach accelerated compute fast enough to keep GPUs saturated and stay protected along the way. Dell data and storage advancements include:

Dell is expanding Dell AI Data Platform implementation services across its data and storage engines to move organizations from deployment to production results quickly and reliably. Dell Services establish a production-ready foundation, activating the platform’s analytics, processing, search and orchestration capabilities while keeping the platform tuned to the demands of AI workloads.

“Data without context is just noise. Most enterprises have spent years making their data accessible,” said Arthur Lewis, president of Dell’s Infrastructure Solutions Group. “That’s not the same as making it usable. An agent that can find a customer record but doesn’t know what it means, how it connects to everything else, or whether it can be trusted isn’t intelligent. It’s just fast. The companies that solve it won’t just deploy AI faster or run more agents. They’ll get more out of the data they already have.”

Dell Technologies (NYSE: DELL) helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the AI era.