Enterprise AI’s next big bottleneck isn’t training models—it’s feeding them the right data, fast. Dell Technologies, the self-proclaimed world’s No. 1 AI infrastructure provider, is aiming to fix that with a major refresh to its Dell AI Data Platform, announced today at SIGGRAPH 2025.
The new release adds a heavyweight unstructured data engine built in collaboration with Elastic, the open-source search AI leader, and ties it all into NVIDIA’s latest RTX PRO 6000 Blackwell GPUs running on Dell’s PowerEdge R7725 and R770 servers. The pitch: turn massive, messy enterprise datasets into searchable, AI-ready intelligence—without the usual patchwork of bespoke tools.
Breaking the Unstructured Data Barrier
Unstructured data—everything from emails to videos to CAD files—makes up the majority of enterprise information, yet most generative AI models can’t use it without extensive prep. Dell’s new unstructured data engine tackles this by:
- Continuous indexing of data across silos
- Vector search and semantic retrieval for context-aware queries
- Hybrid keyword search for precision lookups
- Built-in GPU acceleration for real-time inferencing and analytics
Elastic’s Elasticsearch vector database powers these capabilities, enabling natural language queries and instant knowledge retrieval over huge datasets. This plays directly into the generative AI trend where semantic search isn’t just nice to have—it’s essential for accurate, trustworthy answers.
NVIDIA Inside—And Everywhere
On the hardware side, Dell’s updated PowerEdge R7725 and R770 servers come packed with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. For enterprises, that means:
- Up to 6x faster LLM inference token throughput
- Double the capacity for engineering simulations
- Support for four times more concurrent users than the previous gen
The R7725 also becomes the first 2U server to integrate NVIDIA’s AI Data Platform reference design, creating what Dell calls a “turnkey” AI compute and storage stack. In practical terms: you get GPU-accelerated compute, high-speed storage, and the new data engine pre-validated to work together—no custom integration headaches.
Why It Matters Now
With AI shifting from pilot projects to core business processes, the real competitive advantage lies in reducing the time from data ingestion to insight. This is where Dell’s move mirrors a broader industry push: rivals like HPE, Lenovo, and Supermicro are all rolling out AI-ready hardware tied tightly to data platforms and GPU acceleration. Dell’s edge may be in offering the end-to-end package—data prep, retrieval, and compute—backed by its enterprise support muscle.
SIGGRAPH Showcase
At SIGGRAPH 2025, Dell is demonstrating the AI Data Platform’s role in speeding up media pipelines, intelligent asset management, and real-time collaboration in NVIDIA Omniverse. Also on deck: the Dell Pro Max series, including a compact GB10 AI developer workstation—another sign Dell’s aiming for both datacenter and desktop AI dominance.
Availability:
- Unstructured data engine for Dell AI Data Platform: later this year
- Dell PowerEdge R7725 and R770 with NVIDIA RTX PRO 6000 GPUs: later this year
Power Tomorrow’s Intelligence — Build It with TechEdgeAI
