Dell Technologies Inc. announced enhancements to its Dell AI Data Platform on Tuesday, including capabilities designed to help organizations convert fragmented data into reliable artificial intelligence (AI)-driven insights as enterprise adoption of AI picks up steam.
The platform is intended to transform distributed, siloed data into actionable intelligence. A cornerstone of Dell’s AI Factory, the platform provides open, modular architecture that decouples data storage from processing, eliminating traditional bottlenecks that slow AI workloads including training, fine-tuning, and retrieval-augmented generation (RAG).
Built in collaboration with NVIDIA Corp.’s AI Data Platform reference design, the solution rests on four fundamental components: storage engines for intelligent data placement, data engines for extracting insights, integrated cyber resiliency, and comprehensive data management services.
“AI is transforming industries and its success depends on unlocking the full potential of enterprise data,” Arthur Lewis, president of Dell’s Infrastructure Solutions Group, said in a statement. The platform aims to help organizations transition from AI pilot projects to full production deployment with reduced risk, he added.
The platform’s storage capabilities center on Dell PowerScale and ObjectScale. PowerScale delivers network-attached storage optimized for AI applications, now featuring integration with NVIDIA’s GB200 and GB300 NVL72 systems. The PowerScale F710 variant has earned NVIDIA Cloud Partner certification, supporting more than 16,000 GPUs while using five times less rack space and consuming up to 72% less power than competing solutions.
ObjectScale, Dell’s object storage platform, introduces a software-defined option running on PowerEdge servers that performs up to eight times faster than previous-generation systems. An upcoming S3 over RDMA feature promises 230% higher throughput and 80% lower latency compared to traditional S3 implementations.
Dell expanded its data engine offerings through partnerships with industry leaders. The new Data Search Engine, developed with Elastic, enables natural language interaction with data across billions of files. It integrates with MetadataIQ discovery software to support retrieval-augmented generation and semantic search operations.
The Data Analytics Engine, created in collaboration with Starburst, allows seamless querying across diverse data sources including spreadsheets, databases, and cloud warehouses, according to Dell. Its Agentic Layer uses large language models to automate documentation and embed AI into SQL workflows, while unified access to vector stores enables advanced search capabilities.
