Dell Technologies (NYSE: DELL), a global leader in AI infrastructure, has announced new enhancements to its Dell AI Data Platform aimed at helping businesses optimize the entire AI workload lifecycle—from data ingestion and transformation to agentic inferencing and knowledge recovery with generative AI.
This reinforces the company’s strategy to address one of the biggest challenges in enterprise AI: harnessing the value of large, heterogeneous, and mostly unstructured data, which today is only partially exploited in generative AI environments.
A platform to unify, index, and accelerate AI
The new capabilities of the Dell AI Data Platform improve data ingestion, transformation, retrieval, and computational performance for unstructured data, with the goal of turning large volumes of information into real-time intelligence for AI applications.
At the core of this architecture are specialized data storage and processing engines that securely connect AI agents with high-quality business data. Together with NVIDIA’s AI Data Platform reference design, they provide a validated, GPU-accelerated solution that combines storage, processing, and AI software tailored for generative AI systems.
An unstructured data engine with vector and semantic search
Among the highlights is a new unstructured data engine developed in partnership with Elastic, a leader in open-source search. This engine will feature:
- Advanced vector search for generative AI
- Semantic retrieval for natural language queries
- Hybrid keyword search for precision
- Built-in GPU acceleration to maximize performance
These capabilities are essential for real-time inference, advanced analytics, and intelligent asset discovery across large data sets.
The unstructured data engine complements other tools in the platform:
- Federated SQL engine for querying dispersed structured data
- Massive processing engine for large-scale data transformation
- Optimized storage for fast, AI-ready access
Computing power for agentic AI and physical models
Dell also introduced its PowerEdge R7725 and R770 servers, equipped with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, designed for enterprise AI workloads, visual computing, and engineering simulation. Key features include:
- Up to 6x faster performance in LLM inference
- Double the capacity for engineering simulations
- Support for 4x more concurrent users thanks to MIG (Multi-Instance GPU) technology
The PowerEdge R7725 will be the first 2U server integrating NVIDIA AI Data Platform reference design, delivering a ready-for-production solution without separate hardware and software integration and validation.
Enterprise AI with a global reach
Combining the new data platform, unstructured data engine, and PowerEdge servers will enable organizations to:
- Accelerate the transition from prototypes to production in AI
- Improve semantic and vector search in enterprise data
- Manage larger, more complex workloads with lower latency
- Scale agentic AI and physical AI models like NVIDIA Nemotron or NVIDIA Cosmos
Dell and NVIDIA showcase at SIGGRAPH 2025
At SIGGRAPH 2025 (August 10-14, Vancouver, Canada), Dell will demonstrate how its AI platform, together with NVIDIA Omniverse and its infrastructure, can accelerate multimedia production workflows and enhance large-scale digital asset management. Also featured is the new Dell Pro Max lineup, including AI developer workstations such as the upcoming Dell Pro Max with GB10.
Statements
“Unlocking the full potential of AI hinges on breaking down silos and simplifying access to enterprise data,” said Arthur Lewis, President of Infrastructure Solutions Group at Dell Technologies. “Our partnership with NVIDIA and Elastic will allow organizations to scale AI confidently and rapidly.”
“Businesses need platforms that can handle the growing scale and complexity of AI workloads,” noted Justin Boitano, Vice President of Enterprise AI at NVIDIA. “Dell’s PowerEdge servers with RTX PRO 6000 GPUs provide a fast, efficient, and future-ready AI environment.”
“Fast, accurate, and contextual access to unstructured data is fundamental to scaling AI,” said Ken Exner, Product Director at Elastic. “With Elasticsearch powering the unstructured data engine, we enable vector and hybrid search for demanding enterprise environments.”
Availability
- The unstructured data engine in the Dell AI Data Platform will be available by the end of this year.
- Dell PowerEdge R7725 and R770 servers with NVIDIA RTX PRO 6000 GPUs will also be available worldwide before the close of 2025.
FAQs
What sets Dell’s new unstructured data engine apart?
It integrates vector search, semantic retrieval, and GPU acceleration for faster, more accurate enterprise data queries.What role does NVIDIA play in this solution?
NVIDIA provides compute acceleration through its Blackwell Server Edition GPUs and the NVIDIA AI Data Platform reference design.Why is Elastic important in this collaboration?
Elastic’s Elasticsearch technology enables powerful vector and hybrid search capabilities, crucial for generative AI and natural language search.What benefits does this platform bring to enterprise AI?
It shortens development cycles, improves response quality, and facilitates the scaling of complex AI projects.