Dell Technologies just announced a major data platform overhaul - here's what customers can expect

"For storage, Dell's network-attached storage (NAS) component, PowerScale, now integrates with Nvidia GB200 and GB300 NVL71 - much of this update is about reduction as it will use up to five times less rack space, 88% fewer network switches, and up to 72% lower power consumption when compared to rival services. According to Dell, the integration will also deliver 16,000-plus GPU-scale."

"Meanwhile, ObjectScale, Dell's object storage platform, is now available as both an appliance and a software-defined option on Dell PowerEdge servers. This will offer speeds up to eight times faster than previous generations of all-flash storage. It will also include Amazon S3 over RDMA support as a technical preview starting from December. Dell Technologies eyes data engine boost The announcements also included a roll-out of new and improved data engines, in partnership with AI specialist Elastic."

"These are for Dell's Data Search Engine, which integrates with MetadataIQ data discovery software to search billions of files on PowerScale and ObjectScale using granular metadata. For developers, it means they can build smarter RAG applications in tools such as LangChain with the engine. What's more, they save compute time and keep vector databases current by ingesting only updated files."

Dell Technologies expanded its AI Data Platform with storage, data engine, and partnership enhancements to boost enterprise AI performance and scalability. PowerScale now integrates Nvidia GB200 and GB300 NVL71, reducing rack space by up to five times, cutting network switches by 88%, lowering power use up to 72%, and enabling more than 16,000 GPU-scale. ObjectScale becomes available as an appliance and software-defined option on PowerEdge servers, offering up to eight times faster all-flash speeds and an Amazon S3 over RDMA technical preview. Data Search Engine integration with MetadataIQ enables metadata-driven search across billions of files, supports smarter RAG workflows in tools like LangChain, and minimizes compute by ingesting only updated files. Collaboration with Starburst adds Data Analytics Engine features including an Agentic Layer that leverages LLM-based capabilities.

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