Dell, Nvidia, Elastic Partner For Unstructured Data Search, Retrieval

The partnership – announced Monday at SIGGRAPH 2025 in Vancouver – enhances the Dell AI Data Platform by automating data preparation to deliver natural language search capabilities inside data lakes that contain both structured and unstructured files.

Dell Technologies has partnered with Elasticsearch and Nvidia to build server and storage arrays capable of tackling data search and processing within the vast hoards of information which has become a bottle-neck to AI adoption.

The partnership – announced Monday at SIGGRAPH 2025 in Vancouver – enhances Dell’s AI Data Platform by automating data preparation to deliver natural language search capabilities inside data lakes that contain both structured and unstructured files.

“The key to unlocking AI’s full potential lies in breaking down silos and simplifying access to enterprise data,” said Arthur Lewis, president of Dell’s Infrastructure Solutions Group, in a statement. “Collaborating with industry leaders like Nvidia and Elastic to advance the Dell AI Data Platform will help organizations accelerate innovation and scale AI with confidence.”

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The new capabilities are built on the Nvidia AI Data Platform reference design and the Elastic product Elasticsearch. When new data is ingested into the system, these engines immediately index every asset, ensuring it is accessible through natural language search, integrated with dashboards for end users, and processed for quick turnarounds.

It is made possible through a new collaboration with open-source search AI leader Elastic, Dell said. It offers customers advanced vector search, semantic data retrieval — in which the search engine understands the intention behind the queried information — and hybrid keyword search capabilities and takes advantage of GPU acceleration to boost performance.

“Fast, accurate, and context-aware access to unstructured data is key to scaling enterprise AI,” Ken Exner, chief product officer at Elastic, said in a statement provided by Dell. “With Elasticsearch vector database at the heart of the Dell AI Data Platform's unstructured data engine, Elastic will bring vector search and hybrid retrieval to a turnkey architecture, enabling natural language search, real-time inferencing, and intelligent asset discovery across massive datasets.”

The technology is built on three software engines, Dell said.

The first, a federated SQL engine, is for instant queries across multiple data sources — such as data lakes, databases, and object storage — using standard SQL and delivering unified analysis without moving data.

The second is the unstructured data engine which is powered by Elasticsearch. This gives users fast full-text, semantic and vector searches so they can instantly access documents, or video clips across massive archives.

Third is the data processing engine that uses Apache Spark for accurate, real-time analytics around ETL — the extract, transform, load processes used to prepare data for analytics – and the machine learning processes that build models around that data.

To power those engines, Dell has released validated designs for its air-cooled 2U PowerEdge R7725 and R770 servers with Nvidia RTX Pro 6000 Blackwell GPUs and PowerScale and ObjectScale storage arrays.

The PowerEdge R7725 is the first 2U server to integrate the Nvidia AI Data Platform reference design. Once it is paired with the Dell AI Data Platform and its new unstructured data engine, it becomes a turnkey solution for the enterprise, Dell said.

“Enterprises worldwide need infrastructure that handles the growing scale and complexity of AI workloads,” said Justin Boitano, vice president of enterprise AI at Nvidia, in a statement. “With Nvidia RTX PRO 6000 GPUs in new 2U Dell PowerEdge servers, organizations now have a power efficient, accelerated computing platform to power AI applications and storage on NVIDIA Blackwell.”