Dell expands AI Data Platform with NVIDIA, Elastic and Starburst collaborations

As enterprise AI adoption accelerates, Dell’s AI Data Platform—part of the Dell AI Factory—offers an open, modular architecture that decouples storage from processing, eliminating bottlenecks and enabling scalable, secure, and efficient AI workloads across industries

Dell Technologies has announced major advancements to its Dell AI Data Platform, introducing new capabilities designed to help enterprises transform distributed and siloed data into faster, more reliable AI outcomes. The enhancements, developed in collaboration with NVIDIA, Elastic and Starburst, aim to simplify data complexity, improve scalability and enable real-time AI insights across industries.

Unified data foundation for AI

As AI adoption accelerates across enterprises, Dell said its AI Data Platform — a key component of the Dell AI Factory — provides an open, modular foundation that decouples data storage from processing. This approach eliminates bottlenecks and supports AI workloads such as model training, fine-tuning, retrieval-augmented generation (RAG) and inferencing.

The platform is built on four key building blocks: storage engines for intelligent data placement, data engines for actionable insights, built-in cyber resiliency and data management services. Together, these elements form a scalable, secure architecture that helps organizations extract greater value from their data.

Enhanced storage for peak AI performance

At the storage layer, Dell’s PowerScale and ObjectScale engines deliver high-performance, secure and multi-protocol access for AI workloads.

Dell PowerScale, now integrated with NVIDIA GB200 and GB300 NVL72 technologies, has achieved NVIDIA Cloud Partner (NCP) certification for high-performance storage. The PowerScale F710 system supports large-scale GPU clusters with up to five times less rack space, 88% fewer network switches and up to 72% lower power consumption compared to competitors.

Meanwhile, Dell ObjectScale, available as both an appliance and a new software-defined option on Dell PowerEdge servers, offers S3-native object storage with performance up to eight times faster than previous all-flash versions. Upcoming updates include S3 over RDMA support, set to enter tech preview in December 2025, delivering up to 230% higher throughput, 80% lower latency and 98% lower CPU usage compared to traditional S3. ObjectScale will also gain deeper AWS S3 integration, bucket-level compression and small-object performance enhancements.

Next-gen data engines for real-time AI

Dell is expanding its data engine portfolio to enable faster querying, analytics and AI-driven automation.

The new Data Search Engine, developed with Elastic, allows users to interact with data conversationally for tasks such as RAG, semantic search and generative AI. It integrates with MetadataIQ to search billions of files on PowerScale and ObjectScale using granular metadata.

The Data Analytics Engine, developed in collaboration with Starburst, enables seamless querying across spreadsheets, databases, warehouses and lakehouses. Its upcoming Agentic Layer uses large language models (LLMs) to convert raw data into business-ready products and embed AI into SQL workflows. It also unifies access to vector stores, enabling RAG and search tasks across platforms such as Iceberg, PostgreSQL and Dell’s own Data Search Engine.

Additionally, integration with NVIDIA cuVS brings GPU-accelerated hybrid (keyword + vector) search to the platform, providing faster insights and turnkey deployment for enterprise AI environments.

Industry perspectives

"AI is transforming industries and its success depends on unlocking the full potential of enterprise data. The Dell AI Data Platform is purpose-built to simplify data complexity, unify pipelines and deliver AI-ready data at scale,” said Arthur Lewis, President, Infrastructure Solutions Group, Dell Technologies. “From real-time diagnostics in healthcare to predictive maintenance in manufacturing, Dell Technologies and trusted collaborators like NVIDIA, Elastic and Starburst are empowering industries to move from AI pilots to production faster and with reduced risk."

“AI finally gives enterprises a way to transform fragmented data into a strategic, scalable asset,” said Justin Boitano, Vice President of Enterprise AI Products, NVIDIA. “Accelerated by NVIDIA AI, the Dell AI Data Platform delivers a new generation of intelligent storage that is designed to understand the meaning behind the data it holds."

"Data holds the key to incredible breakthroughs and our collaboration with Dell Technologies makes it easier than ever to unlock that potential. By fully integrating the Elasticsearch context engineering platform into the Dell AI Data Platform, we are providing a powerful engine for search and discovery," said Ajay Nair, GM of Platform Engineering, Elastic. “This collaboration empowers organizations to accelerate everything from semantic search to complex generative AI pipelines, turning large amounts of unstructured data into critical insight."

“Access to all of your data is the foundation for enterprise AI success,” said Justin Borgman, CEO, Starburst. “Our expanded collaboration with Dell Technologies unites Starburst’s data federation with Dell’s AI Data Platform, giving organizations the ability to unlock insights from anywhere and accelerate their path to real-world AI outcomes.”

"The collaboration between Maya HTT, Dell Technologies and NVIDIA is transforming industries by turning massive amounts of unstructured data into actionable insights. From accelerating satellite production to enabling real-time telemetry and AI-driven efficiency for marine vessels, our solutions are not only connecting unconnected worlds but also driving sustainability and safety,” said Remi Duquette, Vice President, Industrial AI, Maya HTT. “With Dell PowerScale and NVIDIA AI infrastructure, we’re delivering faster, smarter and more impactful AI outcomes for our clients."

Availability

·         Dell PowerScale integration with NVIDIA GB200 and GB300 NVL72, with NCP validation, is available now.

·         Dell ObjectScale S3 over RDMA and software updates will be available in December 2025.

·         The first release of the Data Analytics Engine Agentic Layer and MCP Server will roll out in February 2026.

·         The Data Search Engine and NVIDIA cuVS integration will be available in the first half of 2026.