Dell Technologies has unveiled a major update to its Dell AI Data Platform, aimed at improving how enterprises manage the entire lifecycle of AI workloads, from ingesting and transforming data to deploying advanced AI inferencing and knowledge retrieval systems.
The enhancements, developed in collaboration with NVIDIA and open-source search leader Elastic, are designed to address the growing challenges of managing vast, complex, and increasingly unstructured enterprise data while delivering the performance needed for generative AI at scale.
The updates include a new unstructured data engine that will provide real-time, secure access to large-scale datasets for inferencing, analytics, and intelligent search. Leveraging Elastic’s vector database technology, the engine will support advanced vector search, semantic retrieval, and hybrid keyword search capabilities, all with GPU acceleration for faster processing. This complements the platform’s existing tools, such as its federated SQL engine for distributed structured data queries, high-throughput processing engine for large-scale transformations, and AI-ready storage infrastructure.
The unstructured data engine is intended to address a key pain point in enterprise AI: making vast amounts of unstructured content usable for AI models. Today, only a small fraction of enterprise data can be effectively harnessed by generative AI. Dell’s solution enables continuous indexing and vectorization of this data, allowing AI agents to perform more precise, context-aware searches and deliver reliable, real-time insights.
To support the increasing compute demands of AI workloads, Dell is also introducing the PowerEdge R7725 and R770 servers featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. These air-cooled systems aim to make high-density AI computing more accessible while delivering strong price-to-performance ratios. According to Dell, the RTX PRO 6000 offers up to six times the token throughput for LLM inference, doubles engineering simulation capacity, and supports four times the concurrent users compared to the prior generation when using Multi-Instance GPU (MIG) technology.
The PowerEdge R7725 will be the first 2U server to integrate NVIDIA’s AI Data Platform reference design, creating a turnkey AI infrastructure when combined with Dell’s updated AI Data Platform. This combination promises faster inferencing, more responsive semantic search, and the ability to run larger, more complex AI workloads without the need for extensive in-house hardware/software integration efforts.
Dell will showcase these capabilities at SIGGRAPH 2025 in Vancouver, highlighting how the AI Data Platform, NVIDIA Omniverse software, and Dell infrastructure can accelerate media production pipelines and intelligent asset management. The company will also present its new Dell Pro Max high-performance PC lineup, including a forthcoming compact AI developer workstation.
Executives from Dell, NVIDIA, and Elastic emphasized the strategic importance of simplifying enterprise AI deployment. Arthur Lewis of Dell stressed the need to “break down silos and simplify access to enterprise data” to fully realize AI’s potential. NVIDIA’s Justin Boitano highlighted the energy efficiency gains of pairing Blackwell GPUs with Dell’s infrastructure, while Elastic’s Ken Exner underscored the role of fast, accurate access to unstructured data in scaling AI operations.
The updated Dell AI Data Platform with the unstructured data engine is expected to be available later this year, alongside the new PowerEdge servers equipped with NVIDIA RTX PRO 6000 GPUs. By combining secure, high-performance computing with advanced data retrieval and management capabilities, Dell aims to give enterprises a production-ready foundation for scaling AI across increasingly complex and data-intensive workloads.
