Dell Technologies has expanded its AI Data Platform with a Unified Semantic Layer, Enterprise Knowledge Graph, and Knowledge Agents to support agentic AI workflows. These updates aim to reduce data movement and improve context delivery for enterprise AI training and inference by integrating storage and data processing engines.
The introduction of a semantic layer and knowledge graph directly addresses the bottleneck of data curation in the agentic era. By moving processing closer to storage engines like PowerScale and ObjectScale, Dell is reducing the latency and cost associated with massive data transfers. This architectural shift signals a move away from human-operated copilots toward autonomous agents that require high-speed access to harmonized enterprise context. For the streaming and media ecosystem, this infrastructure optimization is critical for managing the extreme throughput required for large-scale model training and real-time inference. Watch for how quickly these agentic data centers improve infrastructure utilization and revenue per GPU for enterprise customers.
As organizations scale these deployments, they must also navigate the risks of autonomous agentic actions to ensure data integrity and security within their automated workflows.
Dell has introduced a Unified Semantic Layer and Enterprise Knowledge Graph to its AI Data Platform to support agentic workflows. By integrating a new Data Processing Engine with Nvidia cuDF libraries, Dell aims to minimize data movement and latency, enabling autonomous agents to access harmonized enterprise data more efficiently.
The platform now includes a Unified Semantic Layer, an Enterprise Knowledge Graph, and a new Data Processing Engine that utilizes Nvidia cuDF libraries.
It uses Nvidia cuDF libraries to accelerate enterprise data preparation on GPUs and minimizes data movement during inference by processing closer to storage engines.
The Unified Semantic Layer integrates structured and unstructured data to provide consistent business meaning across an organization.
Knowledge Agents act as specialized advisors that use prompt-based guidance and token cost thresholds to perform tasks.
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