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Dell unveils AI Data Platform upgrades with NVIDIA & Elastic
Dell unveils AI Data Platform upgrades with NVIDIA & Elastic

Techday NZ

time2 hours ago

  • Business
  • Techday NZ

Dell unveils AI Data Platform upgrades with NVIDIA & Elastic

Dell Technologies has announced enhancements to the Dell AI Data Platform, expanding its support across the full lifecycle of artificial intelligence workloads with new hardware and software collaborations. The updates to the Dell AI Data Platform aim to address the challenges enterprises face with massive, rapidly growing, and unstructured data pools. Much of this data is unsuitable for generative AI applications unless it can be properly indexed and retrieved in real time. The latest advancements are designed to streamline data ingestion, transformation, retrieval, and computing tasks within enterprise environments. Lifecycle management The Dell AI Data Platform now provides improved automation for data preparation, enabling enterprises to move more quickly from experimental phases to deployment in production environments. The architecture is anchored by specialised storage and data engines, designed to connect AI agents directly to quality enterprise data for analytics and inferencing. The platform incorporates the NVIDIA AI Data Platform reference architecture, providing a validated, GPU-accelerated solution that combines storage, compute, networking, and AI software for generative AI workflows. New partnerships An important component of the update is the introduction of an unstructured data engine, the result of collaboration with Elastic. This engine offers customers advanced vector search, semantic retrieval, and hybrid keyword search capabilities, underpinned by built-in GPU acceleration for improved inferencing and analytics performance. The unstructured data engine operates alongside other data tools, including a federated SQL engine for querying structured data, a large-scale processing engine for data transformation, and fast-access AI-ready storage. The array of tools is designed to turn large, disparate datasets into actionable insights for AI applications. Server integration Supporting these software advancements are the new Dell PowerEdge R7725 and R770 servers, fitted with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. Dell claims these air-cooled servers provide improved price-to-performance for enterprise AI workloads, supporting a diverse range of use cases from data analytics and visual computing to AI inferencing and simulation. The NVIDIA RTX PRO 6000 GPU supports up to six times the token throughput for large language model inference, offers double the capacity for engineering simulations, and can handle four times the number of concurrent users compared to the previous generation. The integration of these GPUs in a 2U server chassis is positioned to make high-density AI calculations more accessible to a wider base of enterprise users. The Dell PowerEdge R7725 will be the first 2U server platform to deliver the NVIDIA AI Data Platform reference design, allowing organisations to deploy a unified hardware and software solution without the need for in-house architecture and testing. This is expected to enable enterprises to accelerate inferencing, achieve more responsive semantic searching, and support larger and more complex AI operations. Industry perspectives "The key to unlocking AI's full potential lies in breaking down silos and simplifying access to enterprise data," said Arthur Lewis, president, Infrastructure Solutions Group, Dell Technologies. "Collaborating with industry leaders like NVIDIA and Elastic to advance the Dell AI Data Platform will help organisations accelerate innovation and scale AI with confidence." Justin Boitano, Vice President of Enterprise AI at NVIDIA, added, "Enterprises worldwide need infrastructure that handles the growing scale and complexity of AI workloads. With NVIDIA RTX PRO 6000 GPUs in new 2U Dell PowerEdge servers, organisations now have a power efficient, accelerated computing platform to power AI applications and storage on NVIDIA Blackwell." Ken Exner, Chief Product Officer at Elastic, commented, "Fast, accurate, and context-aware access to unstructured data is key to scaling enterprise AI. 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. Dell's deep presence in the enterprise makes them a natural partner as we work to help customers deploy AI that's performant, precise, and production-ready." Availability The unstructured data engine for the Dell AI Data Platform is scheduled for availability later in the year. The Dell PowerEdge R7725 and R770 servers with NVIDIA RTX PRO 6000 GPUs will also become globally available in the same period.

Dell AI Data Platform Advancements Help Customers Harness Data to Power Enterprise AI with NVIDIA and Elastic
Dell AI Data Platform Advancements Help Customers Harness Data to Power Enterprise AI with NVIDIA and Elastic

Business Wire

time12 hours ago

  • Business
  • Business Wire

Dell AI Data Platform Advancements Help Customers Harness Data to Power Enterprise AI with NVIDIA and Elastic

ROUND ROCK, Texas--(BUSINESS WIRE)--Dell Technologies (NYSE: DELL), the world's No. 1 provider of AI infrastructure,1 today announced updates to the Dell AI Data Platform to help customers better support the full lifecycle of AI workloads from ingestion and transformation to agentic inferencing to AI-powered knowledge retrieval. Why it matters Enterprise data is massive, growing rapidly and increasingly unstructured, but only a fraction of it is usable for generative AI today. To unlock its value, organizations need continuous indexing and a vector retrieval engine that converts content into embeddings for fast, precise semantic search. As workloads grow, organizations need infrastructure that streamlines data preparation, unifies data access across silos and delivers end-to-end enterprise-grade performance. The latest updates to the Dell AI Data Platform enhance unstructured data ingestion, transformation, retrieval and compute performance to streamline AI development and deployment – turning massive datasets into reliable, high quality real-time intelligence for generative AI. Accelerating AI inferencing and analytics The Dell AI Data Platform helps customers quickly move from AI experimentation to production by automating data preparation. At the core of the Dell AI Data Platform's architecture are specialized storage and data engines that help seamlessly connect AI agents to high quality enterprise data. Together, the Dell AI Data Platform and the NVIDIA AI Data Platform reference design provide a validated, GPU-accelerated solution that integrates storage engines and data engines with NVIDIA accelerated computing, networking and AI software to power generative AI systems. Expanding the capabilities of the Dell AI Data Platform is the new unstructured data engine, designed to provide real-time, secure access to large-scale unstructured datasets for inferencing, analytics, and intelligent search. This engine, made possible through a new collaboration with open-source Search AI leader Elastic, will offer customers advanced vector search, semantic retrieval and hybrid keyword search capabilities—key capabilities for powering AI applications. Additionally, the unstructured data engine will leverage built-in GPU acceleration to deliver breakthrough performance. The unstructured data engine works alongside the platform's other tools, like a federated SQL engine for querying scattered structured data, a processing engine for handling large-scale data transformation, and storage designed for fast, AI-ready access. Powering enterprise AI discovery As AI becomes increasingly crucial for business-as-usual operations, Dell PowerEdge R7725 and R770 servers featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs provide the mainstream computing foundation for accelerated enterprise workloads, from visual computing, data analytics and virtual workstations, to physical AI and agentic inference. These servers are ideal for running NVIDIA AI reasoning models such as the latest NVIDIA Nemotron models for agentic AI, as well as NVIDIA Cosmos world foundation models for physical AI. Offering better price for performance for a wide range of enterprise use cases, these air-cooled systems make flexible high-density AI compute more attainable. The NVIDIA RTX PRO 6000 offers enterprises up to six times the token throughput for LLM inference,2 double the capacity for engineering simulation performance3 and can support four times the number of concurrent users compared to the previous generation with support for MIG. The Dell PowerEdge R7725 server will also be the first 2U server platform to integrate the NVIDIA AI Data Platform reference design. When the Dell PowerEdge R7725 server featuring NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs is paired with the Dell AI Data Platform and its new unstructured data engine, enterprises can take advantage of a turnkey solution without the need to architect and test their own hardware and software platforms. The combination of the two delivers faster inferencing, more responsive semantic search and support for larger, more complex AI workloads. See innovation in action at SIGGRAPH 2025 Dell Technologies is showcasing how customers can accelerate media production pipelines and power intelligent asset management at scale using the Dell AI Data Platform, NVIDIA Omniverse software and Dell infrastructure at this year's SIGGRAPH conference (August 10-14) in Vancouver, Canada. Dell will also feature the new Dell Pro Max high-performance PC portfolio, including laptops, desktops and the upcoming Dell Pro Max with GB10, a compact AI developer workstation. Perspectives 'The key to unlocking AI's full potential lies in breaking down silos and simplifying access to enterprise data,' said Arthur Lewis, president, Infrastructure Solutions Group, Dell Technologies. '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.' 'Enterprises worldwide need infrastructure that handles the growing scale and complexity of AI workloads,' said Justin Boitano, vice president of enterprise AI at NVIDIA. '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.' 'Fast, accurate, and context-aware access to unstructured data is key to scaling enterprise AI,' said Ken Exner, Chief Product Officer at Elastic. '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. Dell's deep presence in the enterprise makes them a natural partner as we work to help customers deploy AI that's performant, precise, and production-ready.' Availability Unstructured data engine in Dell AI Data Platform will be available later this year. Dell PowerEdge R7725 and R770 servers with NVIDIA RTX PRO 6000 GPUs will be globally available later this year. Additional Resources Blog: Dell AI Data Platform Gets a Boost with NVIDIA and Elastic Connect with Dell on X and LinkedIn About Dell Technologies Dell Technologies (NYSE: DELL) helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry's broadest and most innovative technology and services portfolio for the AI era. Copyright © 2025 Dell Inc. or its subsidiaries. All Rights Reserved. Dell Technologies and Dell are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. _____________________________ 1 IDC Semiannual Artificial Intelligence Infrastructure Tracker, 2024H1 (Feb 2025) 2 Llama3 70B Inference; 8K/256, 20 tokens/s/user ; RTX PRO 6000 Blackwell Server Edition vs NVIDIA L40S 3 Ansys Fluent (2025.2), FP32; RTX PRO 6000 Blackwell Server Edition vs NVIDIA L40S Expand

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