Elasticsearch 9.4 powers the next phase of the Elastic AI Ecosystem: Dell AI Data Platform with NVIDIA
AI is moving fast. Enterprise adoption needs to move with purpose.

Over the past year, one thing has become clear: Organizations are not looking for more AI hype. They are looking for a path to production — one that connects infrastructure, data, and intelligence in a way that delivers real business value.
That is exactly what the Elastic AI Ecosystem is built to do.
At Elastic, we believe AI is only as powerful as the data foundation behind it. Great models matter. But without fast, relevant, context-rich retrieval, even the most advanced AI systems fall short. That is why search has become one of the most important building blocks in the enterprise AI stack and why our work with ecosystem partners like NVIDIA and Dell matters so much.
With the launch of Elasticsearch 9.4, we are reaching an important milestone: the general availability of our joint offerings with NVIDIA and Dell and a major step forward in helping enterprises move from AI experimentation to scaled implementation.
A year of building the Elastic AI Ecosystem
This milestone did not happen overnight. It is the result of a year of collaboration across the Elastic AI Ecosystem, where partners are working together to help customers build AI applications that are not just impressive, but useful, trusted, and ready for production.
In March 2025, Elastic announced a new collaboration with NVIDIA, outlining our intent to integrate with the NVIDIA Enterprise AI Factory validated design and bring GPU-accelerated Elasticsearch forward as a recommended vector database for enterprise AI deployments.
That was an important signal to the market. Enterprises need more than access to GPUs and models. They need a retrieval layer that can connect AI applications to the right data in the right context at the right time with security and efficiency. They need a platform that can support semantic search, hybrid search, and retrieval augmented generation (RAG) at enterprise scale.
In August 2025, that momentum expanded further when Elastic joined forces with NVIDIA and Dell to support the Dell AI Data Platform — a modular, tightly integrated stack that incorporates the NVIDIA AI Data Platform reference design to support GPU-accelerated workloads across inferencing, hybrid search, and Document Intelligence.
Together, these collaborations reflect what the Elastic AI Ecosystem is all about: bringing leading technologies together to help enterprises build smarter, faster, and more scalable AI solutions.
From vision to execution
Announcements matter. Execution matters more.
Over the past year, engineering and product teams across Elastic, NVIDIA, and Dell have been working side by side to integrate technologies, improve performance, and simplify how customers build and deploy generative AI applications.
We have also brought that story directly to customers and the market through shared events and solution showcases.
At Dell Tech World 2025, we highlighted the Dell Data Search Engine, integrating Elasticsearch as its data search engine. The solution is designed to help customers interact with their data as naturally as asking a question — accelerating decision-making by making enterprise information easier to discover, retrieve, and use.
Built for use cases like Document Intelligence, semantic search, and generative AI pipelines, the Dell Data Search Engine integrates with MetadataIQ data discovery software to search billions of files across PowerScale and ObjectScale using granular metadata. Developers can build more intelligent AI applications with tools like LangChain, while reducing unnecessary compute by ingesting only updated files and keeping vector databases current.
This is what enterprise AI looks like when it starts to mature: not isolated pilots, but integrated systems designed for scale, relevance, and operational efficiency.
Why search is becoming the enterprise AI advantage
As more organizations move from proof of concept to production, the challenge is no longer simply generating output. The challenge is generating output that is grounded, relevant, and useful.
That is where Elastic stands apart.
Elasticsearch gives enterprises the search and vector database foundation they need to power modern AI applications. It helps organizations unify structured and unstructured data, combine lexical and semantic retrieval, and deliver the high-quality context that makes AI applications more accurate and more valuable.
For executive leaders, this is not just a technical detail. It is a business requirement.
AI initiatives succeed when they can connect people to trusted information faster, improve decision-making, and create measurable operational impact. That requires more than a model strategy. It requires a data and retrieval strategy — one that is built for enterprise complexity and enterprise scale.
Within the Elastic AI Ecosystem, our role is clear: help customers turn their data into a strategic advantage for AI.
Explore what’s next with the Elastic AI Ecosystem
As enterprises look to scale AI, success will depend on more than experimentation. It will depend on the ability to connect infrastructure, data, and retrieval into a production-ready foundation.
With Elasticsearch 9.4 and our continued collaboration with NVIDIA and Dell, Elastic is helping customers do exactly that.
We are excited to keep building the Elastic AI Ecosystem and to help enterprises turn AI ambition into business impact.
The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.
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