Dell Technologies Expanded AI Data Platform

The company introduced a semantic layer and knowledge graph to improve enterprise data processing and AI performance.

Updated on Oct. 6, 2026 in Data Centers

Isometric editorial illustration of neatly arranged modular server racks and data pathways, representing structured enterprise information management. — Dell Technologies expanded its enterprise AI platform by introducing a unified semantic layer and knowledge graph to improve data processing performance. AI Illustration. Upload story photo >

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Dell Technologies has updated its AI Data Platform by introducing a Unified Semantic Layer and an Enterprise Knowledge Graph. These tools are designed to organize complex data, allowing AI agents to better understand information stored within customer data centers.

Why it matters

Many organizations struggle to utilize artificial intelligence because their raw data lacks the organization required for effective agent performance. By creating structured connections, Dell aims to reduce token consumption and improve the reasoning capabilities of AI systems.

Dell tested Apache Spark jobs on PowerEdge R770 servers equipped with Nvidia RTX PRO 4500 Blackwell Server Edition GPUs. The platform also leverages Apache Arrow for data movement and Nvidia's cuDF library to accelerate processing tasks.

The players

Dell Technologies

This multinational technology company provides hardware and software solutions for data centers and artificial intelligence workloads.

Nvidia

This semiconductor corporation develops graphics processing units and AI-focused software libraries used in high-performance computing.

The details

The platform incorporates Knowledge Agents that utilize Nvidia Nemotron Retriever models to assist with reasoning and visual understanding. Additionally, Dell is enhancing PowerScale storage to support up to 500 tenants per cluster while adding role-based access control and mutual Transport Layer Security.

September 2026: Dell conducted performance testing on PowerEdge R770 hardware.
October 6, 2026: The Storage Performance Tool and new implementation services were released.
November 2026: Security and multitenancy updates for PowerScale are scheduled to arrive.
December 2026: The accelerated Data Processing Engine is slated for release.
First half of 2027: The semantic layer, knowledge graph, and Knowledge Agents will become available.

The Tech Race

The move reflects the broader industry push to integrate large language models with structured enterprise data to move beyond simple chatbot capabilities. It positions Dell as a provider of private, on-premises infrastructure for firms seeking to avoid the risks of public AI clouds.

Enterprise IT administrators will see improved capabilities for managing data security and performance across large clusters. For developers, these tools offer a more standardized way to structure data, potentially reducing the time spent cleaning information for AI agent use.

The takeaway

Companies looking to implement AI at scale must prioritize the internal structure of their data to gain meaningful insights. Using standardized semantic layers can help organizations maximize the efficiency of their existing hardware investments.

What happens next

Dell plans to roll out the updated PowerScale multitenancy and security features in November 2026, followed by the launch of the accelerated Data Processing Engine in December 2026.