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Dell Expands AI Data Platform With Semantic Layer, Knowledge Graph and GPU Acceleration

Dell expands AI Data Platform with semantic layer, knowledge graph and GPU acceleration, enabling trusted, faster enterprise AI insights.

Dell Technologies Turns Enterprise Data Into Trusted Context for AI Agents

  • Dell AI Data Platform, the data foundation of the Dell AI Factory, expands with new data orchestration and storage capabilities. 
  • Unified Semantic Layer and Enterprise Knowledge Graph give every application and agent the same trusted view of enterprise data. 
  • Dell AI Data Platform shortens the wait between question and insight with accelerated data processing that processes data nearly 4 times faster on average than CPUs alone. 
  • Dell AI Data Platform storage enhancements improve security and benchmark performance. 
  • New AI-ready data services move organizations from deployment to production quickly and reliably
Dell Technologies (NYSE: DELL) expands 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.

Why it matters

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.

Giving data meaning and context

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.
  • Unified Semantic Layer: Gives structured and unstructured information consistent business meaning with rules, definitions and a searchable glossary, so a term means the same thing everywhere it appears. Users can also import existing ontologies and classification taxonomies. Dell is also enabling NVIDIA Auto-Ontology to extend the Unified Semantic Layer.
  • Enterprise Knowledge Graph: Maps how structured and unstructured data is related, so an application or agent can find the right context. It uses metadata, lineage and query history to keep tuning the graph as activity changes.
  • Knowledge Agents: Put that context to work. Each one acts as a trusted advisor on a single topic, grounded in a defined slice of the Enterprise Knowledge Graph. NVIDIA Nemotron Retriever models provide reasoning and visual understanding.
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
  • cuDF accelerated data processing with Apache Arrow: Dell Data Processing Engine, powered by NVIDIA cuDF, processes data nearly 4 times faster on average than CPUs alone, and up to 20 times faster on batch workloads.
  • Expanded multitenancy and security: Dell PowerScale now supports up to 500 tenants in a single cluster, with mTLS over NFS and granular role-based access control.
  • Benchmark workload performance: Dell Storage Performance Tool helps customers size AI infrastructure, compare vendor solutions and test S3-compatible object storage performance.

Expertise to get to production

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.

Perspectives

Venkat Sitaram, Senior Director and Country Head, Infrastructure Solutions Group, India, Dell Technologies: "Indian enterprises are generating and managing more data than ever before. However, data without context is just noise..."

Jason Hardy, vice president of storage technology at NVIDIA: "AI agents are only as effective as the data they can access, understand, and trust..."

Availability
  • Unified Semantic Layer, Enterprise Knowledge Graph and Knowledge Agents: 1H 2027
  • Dell Data Processing Engine enhancements: December 2026
  • Dell PowerScale security and multitenancy enhancements: November 2026
  • Dell Storage Performance Tool: Available now
  • AI-ready data services: Available now
Additional resources
About Dell Technologies

Dell Technologies (NYSE: DELL) helps organizations and individuals build their digital future and transform how they work, live and play.
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