Dell Technologies has announced a significant upgrade to its Dell AI Data Platform with the launch of a new unstructured data engine, developed in collaboration with Elastic. The engine offers advanced vector search, semantic retrieval, and hybrid keyword search capabilities, enabling real-time access to large volumes of unstructured data for actionable insights.
The unstructured data engine allows full-text, semantic, and vector searches across documents, videos, and multimedia using natural language. It is powered by GPU acceleration for fast indexing and retrieval and integrates seamlessly with Dell’s federated SQL query engine, large-scale data transformation layer, and AI-ready storage infrastructure.
This addition is part of the Dell AI Data Platform, which combines Dell’s modular data tools with Nvidia’s AI Data Platform reference design to support complete AI workflows. These workflows include data ingestion, transformation, inference, and retrieval, helping enterprises to process and analyse data efficiently.
Arthur Lewis, President of Dell’s Infrastructure Solutions Group, said that breaking down data silos and making access simpler is essential to unlocking the full potential of AI. Ken Exner, Chief Product Officer at Elastic, highlighted that the Elasticsearch vector database at the core of the engine delivers “natural language search, real-time inferencing, and intelligent asset discovery across massive datasets.”
On the hardware side, Dell has upgraded its AI-ready infrastructure. The new PowerEdge R7725 and R770 servers now feature NVIDIA RTX PRO 6000 Blackwell GPUs and are the first to support the Nvidia AI Data Platform reference architecture in a 2U rack format.
These updates are designed to enhance the performance, scalability, and accessibility of both unstructured and structured data, enabling AI-powered use cases such as natural language search, media asset management, and analytics.
The unstructured data engine and the upgraded server infrastructure are expected to be available later this year, providing organisations with a turnkey, GPU-accelerated stack optimised for generative AI, real-time search, and inferencing workloads.
This collaboration addresses one of the biggest challenges in AI adoption: unlocking value from unstructured data such as documents, videos, and logs. By combining vector search, GPU acceleration, and integrated hardware, Dell and Elastic aim to make enterprise AI systems faster, more intuitive, and capable of delivering natural language queries and semantic understanding.
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