Dell Technologies stock in focus after AI platform upgrade

Dell Technologies introduced new capabilities for its AI Data Platform on Monday, November 9, 2026, seeking to help enterprises turn fragmented data into faster AI outcomes. Tagitinews reported the announcement from Dell, which covers storage, data engines and expanded cooperation with NVIDIA, Elastic and Starburst.

Dell Technologies stock traded at 293.60 euros on Lang & Schwarz at 13:30 CET on Monday, November 9, 2026. Investors can follow the real-time quote of Dell Technologies stock for the latest indication.

Storage becomes central to AI deployment

The platform combines storage engines, data engines, cyber resilience and data-management services. Dell said the modular architecture is designed to support training, fine-tuning, retrieval-augmented generation and inference while separating data storage from processing.

PowerScale is being expanded for demanding AI workloads, including integration with NVIDIA GB200 and GB300 NVL72 systems. Dell said the PowerScale F710 can support more than 16,000 GPUs at scale, with up to five times less rack space, 88 percent fewer network switches and up to 72 percent lower power consumption than competing configurations. Those comparisons are based on Dell's internal analysis and reference designs, so investors should treat them as vendor claims rather than independent performance benchmarks.

ObjectScale is also gaining a software-defined option on Dell PowerEdge servers. Dell said the option can be up to eight times faster than its previous-generation all-flash object storage. Planned S3 over RDMA support is intended to raise throughput and cut latency for large AI data environments.

Partners extend search and analytics

The announcement adds a Data Search Engine developed with Elastic, allowing users to search large file collections through natural-language interactions. Dell said the engine is designed for semantic search, retrieval-augmented generation and generative AI pipelines, with MetadataIQ helping identify relevant files.

A Data Analytics Engine developed with Starburst is aimed at querying spreadsheets, databases, cloud warehouses and lakehouses in one environment. Its agentic layer uses large language models to automate documentation and support AI-assisted SQL workflows. Integration with NVIDIA cuVS is intended to accelerate hybrid keyword and vector search while keeping deployment on premises.

Arthur Lewis, president of Dell's Infrastructure Solutions Group, said the platform is designed to simplify data complexity and help customers move from AI pilots to production. The business significance is clear: Dell is positioning storage and data management as complements to its AI server systems, potentially broadening the revenue opportunity beyond compute hardware.

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