Dell Technologies Turns Enterprise Data Into Trusted Context for AI Agents

Summary:

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
Average than CPUs alone across a range of workloads, and up to 20 times faster on batch processing workloads. Apache Arrow moves data efficiently between Dell storage and processing, so jobs can query data in place. This can reduce data-preparation time and shorten the path from raw enterprise information to trusted context.

Dell Technologies 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.

Expanded multitenancy and security: Dell PowerScale now supports up to 500 tenants in a single cluster, with mTLS over NFS to encrypt and authenticate file traffic and more granular role-based access control for managing each tenant. AI service providers and enterprises running shared AI platforms can serve more teams and customers from one cluster while keeping each tenant’s data isolated and secure
Benchmark workload performance: The new Dell Storage Performance Tool helps customers confidently size AI infrastructure, compare vendor solutions and keep GPUs fed by testing the performance of their S3-compatible object storage across training, inference and checkpointing

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. 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.

Perspectives
“Data without context is just noise. Most enterprises have spent years making their data accessible. 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,” said Arthur Lewis, president, infrastructure solutions group, Dell Technologies.

“AI agents are only as effective as the data they can access, understand, and trust, and Nvidia accelerated computing and AI software help turn governed data into AI-ready context. By bringing Nvidia cuDF acceleration directly into the Dell Data Processing Engine, Dell helps shorten the path from stored data to GPU-accelerated AI-ready data their agents can use to drive real world innovation,” said Jason Hardy, VP, storage technology, Nvidia.

Availability

The Unified Semantic Layer, Enterprise Knowledge Graph and Knowledge Agents will be released in 1H 2027
Dell Data Processing Engine enhancements with the Nvidia acceleration stack will be available in December 2026, with further acceleration using Apache Arrow expected 1H 2027
Dell PowerScale security and multitenancy enhancements will be available in November 2026
The Dell Storage Performance Tool is available
AI-ready data services are available