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NetApp & NVIDIA join forces to streamline AI data management
NetApp & NVIDIA join forces to streamline AI data management

Techday NZ

time22-05-2025

  • 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.

NetApp Builds AI Infrastructure On NVIDIA AI Data Platform
NetApp Builds AI Infrastructure On NVIDIA AI Data Platform

Yahoo

time21-05-2025

  • 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

NetApp (NasdaqGS:NTAP) Partners With NVIDIA To Enhance AI Data Management Solutions
NetApp (NasdaqGS:NTAP) Partners With NVIDIA To Enhance AI Data Management Solutions

Yahoo

time20-05-2025

  • 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

NetApp partners with NVIDIA to boost AI data storage in Australia
NetApp partners with NVIDIA to boost AI data storage in Australia

Techday NZ

time20-05-2025

  • Business
  • Techday NZ

NetApp partners with NVIDIA to boost AI data storage in Australia

NetApp has entered a strategic partnership with NVIDIA to support the NVIDIA AI Data Platform reference design in NetApp AIPod solutions, aiming to help Australian enterprises and government agencies improve their data infrastructure for artificial intelligence applications. This partnership is designed to address the challenges faced by organisations in managing fragmented data environments, a barrier to adopting AI technologies. NetApp AIPod deployments built on the NVIDIA AI Data Platform will aim to provide secure, governed, and scalable data pipelines for retrieval-augmented generation (RAG) and inference tasks. According to NetApp, a recent Data Complexity report found that 79 percent of technology and business leaders believe that unifying their data estates is critical for attaining top AI outcomes by 2025. The partnership is positioned as a response to this need, supporting enterprises in breaking down data silos across both cloud and on-premises environments. Sandeep Singh, Senior Vice President and General Manager of Enterprise Storage at NetApp, said, "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. 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 integrated solution incorporates NVIDIA accelerated computing to run NVIDIA NeMo Retriever microservices, connecting these processing nodes to scalable storage via NetApp's platform. This enables customers to scan, index, classify, and retrieve large quantities of documents in real time, supporting more accurate and effective AI agents that can undertake complex, multi-step tasks in enterprise settings. Rob Davis, Vice President of Storage Technology at NVIDIA, commented, "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. 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 NVIDIA AI Data Platform is designed to align with NetApp's approach to advanced data management by making use of continuously updated metadata and vectorisation. This facilitates the delivery of timely, relevant, and accurate results in AI queries, supporting industries where data governance and security are particularly important. The solution is being positioned for government agencies and highly regulated sectors in Australia, where the management of secure and governed data access is frequently a requirement. This, according to NetApp, will help these organisations prepare their data environments and infrastructure for current and future AI initiatives. NetApp's collaboration with NVIDIA is part of its broader intent to supply enterprise-grade infrastructure that supports advanced use cases and the operational scaling of AI across business functions. With the increasing adoption of AI by enterprises addressing complex challenges, the partnership aims to ensure that the necessary storage, data management, and computational resources are available in the Australian and New Zealand markets.

DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value
DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value

Yahoo

time19-05-2025

  • Business
  • Yahoo

DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value

CHATSWORTH, Calif., May 19, 2025--(BUSINESS WIRE)--DDN®, the global leader in AI and data intelligence solutions, today announced it is redefining enterprise infrastructure by turning storage into an intelligent, AI-native platform that fuels real-time insight, faster decisions, and measurable impact with the NVIDIA AI Data Platform reference design. DDN solutions built with the design in collaboration with NVIDIA empower organizations to unlock the business potential of generative AI by simplifying how they store, access, and activate their most valuable asset: unstructured data. In the age of agentic AI platforms and scalable AI factories, enterprises must fundamentally reimagine their relationship with data. It's no longer just about storing information—it's about activating it. Data has become the fuel, the fabric, and the foundation of competitive advantage. "At DDN, we are not just keeping pace with this transformation—we're defining it," said Santosh Erram, Global Head of Partnerships—NVIDIA and Hyperscaler, at DDN. "If your data infrastructure isn't purpose-built for AI, then your AI strategy is already at risk. DDN is where data meets intelligence, and where the future of enterprise AI is being built." Turning Unstructured Data into Action With more than 90% of new data being unstructured—ranging from documents and videos to code and conversations—organizations are sitting on a goldmine of insights. But traditional systems weren't designed to support the speed, scale, and intelligence that AI now demands. The solution from DDN and NVIDIA solves this by combining DDN Infinia™, an AI-native data platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA Networking. This enables enterprises to deploy Retrieval-Augmented Generation (RAG) pipelines and intelligent AI applications grounded in their own proprietary data—securely, efficiently, and at scale. "Intelligent storage is key to transforming enterprise data into real-time intelligence for agentic AI reasoning," said Pat Lee, vice president, Enterprise Strategic Partnerships at NVIDIA. "Together, DDN and NVIDIA are building storage systems with accelerated computing, networking, and software to drive AI applications that can automate operations and amplify people's productivity." Business Outcomes That Matter Across industries—from finance and healthcare to telecom and manufacturing—organizations using DDN and NVIDIA solutions are realizing transformative results: Accelerated decision-making through conversational access to internal knowledge Enhanced customer engagement with domain-specific chatbots and digital assistants Lower total cost of ownership by reducing infrastructure sprawl and maximizing AI throughput Stronger data governance through on-prem, hybrid, or sovereign deployment models Infrastructure for the AI Factory Era Leading AI adopters are no longer just running pilots—they are building AI factories: repeatable, scalable pipelines that turn data into decisions. This next phase of enterprise AI requires a new foundation—one where storage is intelligent, high-performance, and seamlessly connected to AI pipelines. "AI has changed the rules—and DDN is redefining what enterprise data infrastructure must look like," said Sven Oehme, CTO and President at DDN. "Our work with NVIDIA accelerates time-to-value and allows enterprises to move faster and smarter in the AI economy." Learn More: Explore NVIDIA's AI Data Platform at or learn more about the DDN and NVIDIA partnership at About DDN DDN is the world's leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN's proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns. Follow DDN: LinkedIn, X, and YouTube. View source version on Contacts DDN Media Contact:Amanda LeeVP, Marketing – Analyst and Media Relationsamlee@ 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

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