Dell has updated its AI Data Platformdesigned to make it easier for companies to transform distributed and isolated data into more agile and reliable AI results. This platform, a key element of Dell AI Factory, provides an open, modular foundation for generating value from dispersed data silos.
By decoupling data storage from processing, the platform eliminates bottlenecks and provides the flexibility needed for AI workloads. Among them, training, fine tuning, recovery augmented generation (RAG) or inference.
The platform, integrated with the NVIDIA AI Data Platform reference design, is built on four pillars: storage engines for intelligent placement and seamless data movement, data engines that turn data into actionable insights, integrated cyber resilience, and data management services. Combined, they offer a scalable and flexible foundation for leveraging AI.
Dell PowerScale and Dell ObjectScale are the platform’s storage engines, providing the performance, security, and multi-protocol access essential for AI data. The former offers NAS storage and parallel performance for AI workloads. With the integration of NVIDIA GB200 and GB300 NVL72 GPUs, and software upgrades, it delivers reliable performance, simplified large-scale management, and full compatibility with applications and solution stacks.
PowerScale F710, certified NVIDIA Cloud Partner for high-performance storage, offers more than 16,000 GPUs with less rack space, fewer network switches, and lower power consumption.
As for Dell ObjectScale, it is an object platform that offers fast and scalable native S3 storage for massive AI workloads. It is available as an appliance or in software defined on Dell PowerEdge servers. Dell’s new AI Data Platform improves the speed, scalability and efficiency of ObjectScale.
Support for S3 over RDMA, with improvements in performance, latency, and CPU usage over traditional S3 storage. It will soon enter the technical testing phase. ObjetcScale also features deeper integration with AWS S3 and bucket-level compression, giving developers and data scientists better tools to store, move, and use large volumes of data.
Dell is also expanding the capabilities of its data engines, the specialized tools in its AI Data Platform that organize, query and activate data for AI. These engines are developed in collaboration with, among others, NVIDIA, Elastic and Starburst.
The new Data Search Engine, developed with Elastic, accelerates decision making by allowing you to interact with data in a natural way, such as asking a question. Designed for tasks such as RAG; semantic search and generative AI pipelines, integrates with MetadataIQ software to search up to billions of files in PowerScale and ObjectScale through granular metadata.
With it, developers can create smarter RAG applications with tools like LangChain, ingesting only updated files. This saves computing power and keeps the vector databases up to date.
Data Analytics Engine, created in collaboration with Starburst, enables seamless data queries across spreadsheets, databases, clouds, and data lakes. With its Data Analytics Engine Agentic layer, you can quickly transform data into business elements, using large language models to automate documentation, draw insights, and integrate AI into SQL workflows.
In addition, it unifies access to vector stores and allows RAG and search tasks in Iceberg, PostgreSQL+ and PGVector, among others. It incorporates monitoring and governance functions for enterprise AI models, as well as MCP Server for Data Analytics Engine, which enables the development of multi-agent applications.
The integration of the Dell AI Data Platform with NVIDIA cuVS offers improved performance in vector search as well as a turnkey implementation for enterprise AI environments. This integration incorporates hybrid, keyword and vector search, accelerated by GPU.
In this way you can offer faster and more efficient information with full control locally. Powered by NVIDIA cuVS and Dell’s secure infrastructure, IT teams can enjoy a fully integrated turnkey solution to deploy and scale GPU-powered search right out of the box.
Arthur Lewis, President, Infrastructure Solutions Group, Dell Technologieshas pointed out that «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. From real-time diagnostics in health to predictive maintenance in manufacturing, Dell and trusted partners like NVIDIA, Elastic and Starburst are helping industries move from AI pilots to production faster and with less risk«.
