Latest news with #NVIDIAAIDataPlatform
Techday NZ
2 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.
Business Wire
12 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
Techday NZ
22-05-2025
- Business
- Techday NZ
NetApp & NVIDIA join forces to streamline AI data management
NetApp has announced a partnership with NVIDIA to integrate the NVIDIA AI Data Platform reference design into its AIPod solution. The collaboration aims to help organisations build secure, governed, and scalable AI data pipelines for retrieval-augmented generation (RAG) and AI inferencing. This will enable businesses to further leverage AI as they address increasingly complex business challenges. According to NetApp's 2025 Data Complexity Report, 79% of technology and business leaders agree that unifying data estates is critical for achieving successful AI outcomes. NetApp AIPod deployments that are built on the NVIDIA AI Data Platform will utilise NetApp's ONTAP data management capabilities. This combination is intended to support the development of high-performance AI systems that can access data without the issues caused by siloed storage. NetApp is recognised as an NVIDIA-Certified Storage partner, which equips AIPod users with data infrastructure designed for enterprise needs and scalable multi-tenancy. This infrastructure is aimed at enabling the deployment of agentic AI, which can be used to address real-world business problems. Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp, commented on the importance of a unified approach to data management for AI applications. "A unified and comprehensive understanding of business data is the vehicle that will help companies drive competitive advantage in the era of intelligence, and AI inferencing is the key," he said. Singh added, "We have always believed that a unified approach to data storage is essential for businesses to get the most out of their data. The rise of agentic AI has only reinforced that truly unified data storage goes beyond just multi-protocol storage. Businesses need to eliminate silos throughout their entire IT environment, whether on-premises and in the cloud, and across every business function, and we are working with NVIDIA to deliver connected storage for the unique demands of AI." The NetApp AIPod solution with the NVIDIA AI Data Platform incorporates NVIDIA accelerated computing and NVIDIA NeMo Retriever microservices, linking these resources to scalable storage. This architecture allows for the real-time scanning, indexing, classification, and retrieval of large stores of both private and public documents, with the intention of augmenting AI agents in their reasoning and problem-solving abilities. Rob Davis, Vice President of Storage Technology at NVIDIA, highlighted the importance of fast, quality data access for AI applications. "Agentic AI enables businesses to solve complex problems with superhuman efficiency and accuracy, but only as long as agents and reasoning models have fast access to high-quality data," he said. Davis continued, "The NVIDIA AI Data Platform reference design and NetApp's high-powered storage and mature data management capabilities bring AI directly to business data and drive unprecedented productivity." The integration of the NVIDIA AI Data Platform is aligned with NetApp's vision to enhance data management capabilities for AI projects. The platform's use of continuously updated metadata and vectorisation is specifically designed to accelerate AI pipelines by enabling more timely, relevant, and accurate queries.
Yahoo
21-05-2025
- Business
- Yahoo
NetApp Builds AI Infrastructure On NVIDIA AI Data Platform
NetApp, Inc. (NASDAQ:NTAP) has moved to capitalize on the growing need for intelligent data infrastructure amid the ever-increasing adoption of AI to solve complex business challenges. On May 19, it inked a strategic partnership with Nvidia to accelerate NVIDIA AI Data Platform integration in the NetApp AIPod solution. The ultimate goal is to accelerate agentic AI adoption. A laptop and a computer monitor display a detailed stock market technical analysis chart. Photo by Jakub Zerdzicki on Pexels Integrating NVIDIA AI Data Platform in NetApp AIPod should help businesses build secure, governed, scalable AI data pipelines. By utilizing continually updated metadata and vectorization, the NVIDIA AI Data Platform supports NetApp's ambition for better data management capabilities to speed up AI pipelines and enable queries to yield more accurate, fast, and relevant results. Consequently, NetApp customers will benefit from enterprise data management capabilities and scalable multi-tenancy to strengthen their competitive edge in the era of AI inferencing. The strategic partnership with Nvidia comes on the heels of Barclays upgrading NetApp to an Overweight from Equal Weight. The bullish rating comes amid growing confidence that NetApp is capitalizing on its leadership in cloud storage, which is depicted by substantial recurring revenue and improved product margins. According to Barclays analysts, investors underappreciated NetApp's fast-growing cloud business and high-margin services. That's clear given that the stock has been down by about 12% in the year. While we acknowledge the potential of NetApp, Inc. (NASDAQ:NTAP) as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than NTAP and that has 100x upside potential, check out our report about the cheapest AI stock. READ NEXT: and . Disclosure: None. Sign in to access your portfolio
Yahoo
20-05-2025
- Business
- Yahoo
NetApp (NasdaqGS:NTAP) Partners With NVIDIA To Enhance AI Data Management Solutions
NetApp recently announced a significant partnership with NVIDIA to enhance the NVIDIA AI Data Platform using the NetApp AIPod solution, aiming to accelerate enterprise adoption of AI. This collaboration occurred alongside the launch of the NetApp AIPod Mini with Intel, designed to simplify enterprise AI inferencing. These strategic movements may have contributed to the company's share price increase of 23% over the past month. The price move aligns with the broader positive market trend, as major indices such as the S&P 500 also experienced gains during the same period, despite recent minor fluctuations. Buy, Hold or Sell NetApp? View our complete analysis and fair value estimate and you decide. Explore 22 top quantum computing companies leading the revolution in next-gen technology and shaping the future with breakthroughs in quantum algorithms, superconducting qubits, and cutting-edge research. The partnership between NetApp and NVIDIA is poised to strengthen the company's position in the rapidly growing AI sector. With the launch of innovative solutions like the NetApp AIPod and the AIPod Mini with Intel, NetApp aims to capitalize on the enterprise demand for AI capabilities. This collaboration is expected to positively influence NetApp's revenue and earnings forecasts, leveraging enhanced AI and cloud solutions to capture a larger market share. Over the past five years, NetApp's total shareholder return, which includes share price appreciation and dividends, was 159.68%. This reflects a robust growth trajectory, outperforming its recent one-year performance where it did not keep pace with the broader US market return of 11.7%. Despite this, the long-term performance underscores the company's ability to generate significant shareholder value over time. The recent developments could support the projected growth trajectory, given the estimated revenue increase of 4.5% annually and earnings growth of 5.9% per year, both driven by strategic advancements in the company's product offerings. However, challenges like sales execution inconsistencies and divestiture-related impacts on revenue remain potential hurdles. Currently, with NetApp's share price at US$92.26, it stands at an approximate 19% discount to the consensus price target of US$113.65. This suggests room for potential appreciation, assuming the company meets or exceeds the optimistic analyst expectations, including a PE ratio of 20.7x by 2028. As always, it's vital for investors to carefully assess their assumptions and the associated risks when evaluating potential investments. Learn about NetApp's future growth trajectory here. This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned. Companies discussed in this article include NasdaqGS:NTAP. This article was originally published by Simply Wall St. Have feedback on this article? Concerned about the content? with us directly. Alternatively, email editorial-team@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
