Transforming the data path: Dell’s new releases move enterprises closer to the agentic data center
SiliconANGLE Mark Albertson ● Covered by 4 sources
Dell added new AI data tools for enterprises. It’s about moving data less and turning raw info into context for agentic AI.
Based on reporting by SiliconANGLE, Mark Albertson — read the original for the full story.
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Dell Technologies has pushed deeper into enterprise AI with new pieces for its AI Data Platform, aimed at the part of the stack that usually gets ignored until it hurts: the data path. The company announced additions to its Data Orchestration Engine, plus a new Data Processing Engine capability that runs on GPUs with Nvidia’s cuDF library.
The pitch is simple. Keep data moving less, and AI systems can move faster. Arthur Lewis, who leads Dell’s Infrastructure Solutions Group, said the company wants the processing engine and storage engines closer together, using zero-copy data access, memory-to-memory transfer and distributed processing to cut down on wasted movement.
Dell is also leaning on its storage lineup to support different parts of AI work. PowerScale is meant to support enterprise AI at scale, with support for up to 16,000 GPUs. ObjectScale is aimed at enterprise data as an object foundation, with up to 40 gigabytes per second per node. Lightning File System is being positioned for the toughest jobs: extreme throughput, large-scale training, checkpointing and heavy inference.
The bigger strategic move is around context. Dell added a Unified Semantic Layer, an Enterprise Knowledge Graph and Knowledge Agents to its orchestration engine. The company says the semantic layer is meant to handle structured and unstructured data together, while the knowledge graph uses metadata, lineage, storage metadata and query history to keep context current as data changes. Knowledge Agents then let users build focused agents with permissions, guardrails and token cost thresholds, while staying model agnostic.
Behind all of this is a broader shift in how Dell sees enterprise AI. Gaurav Chawla said the market is moving from “AI factories” to “agentic data centers,” where models, storage and the data stack have to work as one system. That’s the interesting part here. The model is no longer the only star. Dell is betting the real bottleneck is the plumbing, and maybe it’s right.
My take — AI-written commentary, not fact-checked reporting
This is the unglamorous truth of enterprise AI: the winners won’t be the loudest model vendors, they’ll be the ones who make data stop acting like a fax machine. Dell is reading the room correctly and dressing it up in “agentic” language, which is very on-brand for the industry. The boring layer is suddenly the money layer.
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