NetApp and Intel Partner to Redefine AI for Enterprises
SAN JOSE, Calif.--(BUSINESS WIRE)--NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced the release of NetApp AIPod Mini with Intel, a joint solution designed to streamline enterprise adoption of AI inferencing. This collaboration addresses the unique challenges businesses face when deploying AI, such as cost and complexity, at the department and team level.
To thrive in the era of intelligence, enterprises have adopted AI to enhance efficiency and data-driven decision making across their businesses. A study by Harvard Business School found that consultants given access to AI tools were able to increase their productivity, completing 12.2 percent more tasks and completing them 25.1 percent more quickly. However, individual business units may find that the broadly available general purpose AI applications are not able to meet their specific needs, but do not have the technical expertise or budget to customize an AI application from scratch. NetApp and Intel have partnered to provide businesses with an integrated AI inferencing solution built on an intelligent data infrastructure framework that allows specific business functions to leverage their distinct data to create outcomes that support their needs. NetApp AIPod Mini streamlines the deployment and use of AI for specific applications such as automating aspects of document drafting and research for legal teams, implementing personalized shopping experiences and dynamic pricing for retail teams, and optimizing predictive maintenance and supply chains for manufacturing units.
'Our mission is to unlock AI for every team at every level without the traditional barriers of complexity or cost,' said Dallas Olson, Chief Commercial Officer at NetApp. 'NetApp AIPod Mini with Intel gives our customers a solution that not only transforms how teams can use AI but also makes it easy to customize, deploy, and maintain. We are turning proprietary enterprise data into powerful business outcomes.'
NetApp AIPod Mini enables businesses to interact directly with their business data through pre-packaged Retrieval-Augmented Generation (RAG) workflows, combining generative AI with proprietary information to deliver precise, context-aware insights that streamline operations and drive impactful outcomes.
By integrating Intel® Xeon® 6 processors and Intel® Advanced Matrix Extensions (Intel® AMX) with NetApp's all-flash storage, advanced data management, and deep Kubernetes integration, NetApp AIPod Mini delivers high-performance, cost-efficient AI inferencing at scale. Built on an open framework powered by Open Platform for Enterprise AI (OPEA), the solution ensures modular, flexible deployments tailored to business needs. Intel Xeon processors are designed to boost computing performance and efficiency, making AI tasks more attainable and cost-effective, empowering customers to achieve more. To best serve customers, this solution is designed to be:
Affordable: Designed for departmental or business-unit budgets, NetApp AIPod Mini delivers enterprise-grade performance at a low entry price. Designed with scalability in mind, the solution enables organizations to achieve AI advancements without wasting resources on unnecessary overhead or costs.
Simple: With a pre-validated reference design, NetApp AIPod Mini makes AI implementation streamlined and effective. Its pre-packaged workflows enable quick setup, seamless integration, and customization without extra overhead. By focusing on ease of use and reliability, the solution helps enterprises deploy AI faster and more confidently, enabling smarter and more efficient operations.
Secure: By leveraging NetApp, the most secure storage on the planet, and processing data on-premises, NetApp AIPod Mini enhances privacy and protects sensitive data. Customers can leverage the built-in cyber resiliency and governance capabilities of NetApp ONTAP®, including access controls, versioning, and traceability, to embed compliance directly into AI workflows with traceability and ethical safeguards.
'A good AI solution needs to be both powerful and efficient to ensure it delivers a strong return on investment,' said Greg Ernst, Americas Corporate Vice President and General Manager at Intel. 'By combining Intel Xeon processors with NetApp's robust data management and storage capabilities, the NetApp AIPod Mini solution offers business units the chance to deploy AI in tackling their unique challenges. This solution empowers users to harness AI without the burden of oversized infrastructure or unnecessary technical complexity.'
NetApp AIPod Mini with Intel will be available in the summer of 2025 from strategic distributors and partners around the world. These initial launch partners will include NetApp distributor partners Arrow Electronics and TD SYNNEX as well as integration partners Insight Partners, CDW USA, CDW UK&I, Presidio and Long View Systems, who will provide dedicated support and service to ensure a seamless purchasing and deployment experience for customers' unique AI use cases.
Additional Resources
About NetApp
NetApp is the intelligent data infrastructure company, combining unified data storage, integrated data, operational and workload services to turn a world of disruption into opportunity for every customer. NetApp creates silo-free infrastructure, harnessing observability and AI to enable the industry's best data management. As the only enterprise-grade storage service natively embedded in the world's biggest clouds, our data storage delivers seamless flexibility. In addition, our data services create a data advantage through superior cyber resilience, governance, and application agility. Our operational and workload services provide continuous optimization of performance and efficiency for infrastructure and workloads through observability and AI. No matter the data type, workload, or environment, with NetApp you can transform your data infrastructure to realize your business possibilities. Learn more at www.netapp.com or follow us on X, LinkedIn, Facebook, and Instagram.
NETAPP, the NETAPP logo, and the marks listed at www.netapp.com/TM are trademarks of NetApp, Inc. Other company and product names may be trademarks of their respective owners.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
19 minutes ago
- Yahoo
Why Digital Turbine Stock Skyrocketed This Week
Digital Turbine stock rocketed higher after the company posted stronger-than-anticipated quarterly results on Tuesday. The company also issued guidance for its new fiscal year that topped Wall Street's targets. Digital Turbine's cost-cutting moves and increased focus on AI appear to have the business moving in the right direction. 10 stocks we like better than Digital Turbine › Digital Turbine (NASDAQ: APPS) stock saw explosive gains after reporting quarterly results earlier this week. The company's share price closed out the week up 23.1% from the previous week's market close. Before the market opened on Tuesday, Digital Turbine published its results for the fourth quarter of its last fiscal year, which wrapped up on March 31. While the stock saw significant pullbacks later in the week, it still ended the stretch with big gains. Digital Turbine's fiscal Q4 report arrived with sales and earnings that came in ahead of Wall Street's expectations. The business posted non-GAAP (adjusted) earnings per share of $0.10 on sales of $119.15 million, beating the average analyst estimate's call for adjusted per-share earnings of $0.04 on revenue of $116.64 million. While its adjusted per-share profit was down roughly 16.7% year over year, sales were up by around 6.2%. Investors were happy to see stronger-than-anticipated sales and earnings performance in the period. In addition to reporting Q4 results that beat Wall Street's targets, the adtech specialist also issued forward guidance that came in better than anticipated. With guidance for sales between $515 million and $525 million this year, Digital Turbine's midpoint target calls for annual revenue growth of roughly 6%. Meanwhile, the company is targeting adjusted earnings before interest, taxes, depreciation, and amortization (EBITDA) of between $85 million and $90 million. Hitting the midpoint of that guidance range would mean posting annual growth of 21%. Digital Turbine's business appears to be stabilizing, and its efforts to integrate artificial intelligence (AI) tools into its services for app promotions appear to be yielding beneficial results. The company's heavy exposure to the Chinese market poses a significant risk factor if geopolitical tensions with the U.S. continue to rise, but the company's cost-cutting moves and strategic shifts have been bearing fruit. Before you buy stock in Digital Turbine, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Digital Turbine wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $664,089!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $881,731!* Now, it's worth noting Stock Advisor's total average return is 994% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Keith Noonan has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy. Why Digital Turbine Stock Skyrocketed This Week was originally published by The Motley Fool
Yahoo
43 minutes ago
- Yahoo
VivoPower Closes First Phase of US$121 Million Private Placement
LONDON, June 20, 2025 (GLOBE NEWSWIRE) -- VivoPower International PLC (NASDAQ: VVPR) ('VivoPower' or the 'Company') today announced that it has closed the first phase of the previously announced US$121 million investment round led by His Royal Highness Prince Abdulaziz bin Turki bin Talal Al Saud, and including a consortium of non-U.S. investors pursuant to Regulation S under the U.S. Securities Act of 1933. This first phase is equivalent to gross proceeds of US$60.5 million. The closing was completed within existing authorized share capital parameters. The remaining 50% is expected to close shortly subject to shareholder approval to increase authorized share capital. Proceeds will support VivoPower's Ripple and XRP-focused treasury and decentralized finance solutions strategy and broader transformation initiatives. The private offering was made only to persons other than 'U.S. persons' in compliance with Regulation S under the Securities Act of 1933, as amended (the 'Securities Act'). Any securities described in this press release have not been registered under the Securities Act and may not be offered or sold in the United States or to U.S. persons (as defined in Regulation S under the Securities Act) except in transactions registered under the Securities Act or exempt from, or not subject to, the registration requirements of the Securities Act and applicable U.S. state securities laws. Any share issuance under Regulation S cannot be sold for at least 40 days post registration and consummation of the transactions contemplated hereby are conditioned upon the sale and purchase agreements (Subscription Agreements) not having been validly terminated in accordance with their terms, which include but are not limited to material adverse change for the Company including in relation to its securities, delisting or suspension of the Company's shares and non-performance of obligations by either the Company or the investors. This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities in the United States or any other jurisdiction. About VivoPower VivoPower International PLC (NASDAQ: VVPR) is undergoing a strategic transformation into the world's first XRP-focused digital asset enterprise. The Company's new direction centers on the acquisition, management, and long-term holding of XRP digital assets as part of a diversified digital treasury strategy. Through this shift, VivoPower aims to contribute to the growth and utility of the XRP Ledger (XRPL) by supporting decentralized finance (DeFi) infrastructure and real-world blockchain applications. Originally founded in 2014 and listed on Nasdaq since 2016, VivoPower operates with a global footprint spanning the United Kingdom, Australia, North America, Europe, the Middle East, and Southeast Asia. An award-winning global sustainable energy solutions B Corporation, VivoPower has two business units, Tembo and Caret Digital. Tembo is focused on electric solutions for off-road and on-road customized and ruggedized fleet applications as well as ancillary financing, charging, battery and microgrids solutions. Caret Digital is a power-to-x business focused on the highest and best use cases for renewable power, including digital asset mining. Forward-Looking Statements This communication includes certain statements that may constitute 'forward-looking statements' for purposes of the U.S. federal securities laws. Forward-looking statements include, but are not limited to, statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions. The words 'anticipate,' 'believe,' 'continue,' 'could,' 'estimate,' 'expect,' 'intends,' 'may,' 'might,' 'plan,' 'possible,' 'potential,' 'predict,' 'project,' 'should,' 'would' and similar expressions may identify forward-looking statements, but the absence of these words does not mean that a statement is not forward-looking. Forward-looking statements may include, for example, statements about the achievement of performance hurdles, or the benefits of the events or transactions described in this communication and the expected returns therefrom. These statements are based on VivoPower's management's current expectations or beliefs and are subject to risk, uncertainty, and changes in circumstances. Actual results may vary materially from those expressed or implied by the statements herein due to changes in economic, business, competitive and/or regulatory factors, and other risks and uncertainties affecting the operation of VivoPower's business. These risks, uncertainties and contingencies include changes in business conditions, fluctuations in customer demand, changes in accounting interpretations, management of rapid growth, intensity of competition from other providers of products and services, changes in general economic conditions, geopolitical events and regulatory changes, and other factors set forth in VivoPower's filings with the United States Securities and Exchange Commission. The information set forth herein should be read in light of such risks. VivoPower is under no obligation to, and expressly disclaims any obligation to, update or alter its forward-looking statements whether as a result of new information, future events, changes in assumptions or otherwise. Contact Shareholder Enquiries media@
Yahoo
2 hours ago
- Yahoo
1 AI Super Stock Is Starting to Rebound, but Shares Still Look Cheap
Datadog stock remains more than 35% below the all-time high it reached four years ago. Many organizations are rapidly adopting AI-powered tools, which presents an opportunity for Datadog. The shares are trading near their cheapest price-to-sales ratio ever. 10 stocks we like better than Datadog › The rise of artificial intelligence (AI) is generating plenty of wealth on Wall Street -- and the winners won't be limited to just semiconductor stocks like Nvidia. Tech stocks across several subsectors will benefit, too. Let's take a look at one such stock, Datadog (NASDAQ: DDOG). Between 2019 and 2021, Datadog was one of the hottest names in the stock market. Shares advanced by more than 400% in only three years. However, as the stock market soured on tech stocks and speculative companies in 2022, Datadog shares plummeted. All told, the shares cratered by 68%, erasing the majority of their earlier gains. As of this writing, Datadog stock remains more than 35% off of the all-time high it touched in late 2021. Yet sentiment regarding the stock appears to have shifted. Datadog, which provides cloud monitoring services for enterprises, now boasts strong ratings from the analyst community. According to data compiled by Yahoo! Finance, there are 46 analysts covering Datadog. Of those, 10 rate it as a strong buy, 28 rate it a buy, and eight call it a hold. None of them rate it a sell or strong sell. Moreover, the average 12-month price target for Datadog shares is nearly $139. That's about 9% higher than the stock trades as of this writing. Datadog's business model is to sell monitoring services to organizations with significant cloud assets. This type of monitoring is critical to enterprises today, as operational downtime can result in serious consequences, including lost revenue, customer dissatisfaction, and even legal action. It already serves tens of thousands of clients across a range of industries, including e-commerce, gaming, and finance. While the type of monitoring that Datadog offers isn't new, what it is monitoring is changing. New large language models (LLMs) powered by AI algorithms have become much more important to organizations. Use of these models is rapidly spreading into the day-to-day operations of countless organizations. As this happens, their performance must be monitored, too. That has created a new source of revenue for Datadog, which is helping boost its growth. Consider the company's first-quarter results. Datadog noted that about 8.5% of its total revenue came from AI-native customers. That was up from 3.5% one year earlier -- showing meaningful growth for this new source of revenue. Management also raised its revenue guidance for the year by about $40 million, or 1%, on the back of this fast-growing new source of sales. Ultimately, these figures aren't game changers for Datadog, but they demonstrate that the AI revolution is benefiting the company. If it can continue to deliver on its higher guidance -- or even surpass it -- the stock should respond positively. In part, that's because Datadog's valuation remains near multiyear lows. Though Datadog's stock price has recovered significantly from its 2022 low point, its valuation -- as measured by its price-to-sales (P/S) ratio -- remains near the bottom of its range. As of this writing, Datadog shares trade at a P/S ratio of around 16. That's well below the peak levels above 60 that it reached in 2020 and 2021. It's also far below the stock's average of 28. Granted, a P/S ratio of 16 is still high compared to many stocks -- even within the tech sector. However, for long-term investors who want to establish a position in Datadog shares, it should be comforting that it doesn't appear to be overvalued. The stock appears to be rebounding after a steep decline. The AI revolution is playing a role in that comeback, and the analyst community is moderately bullish on the company's prospects. Finally, its current valuation is well below its long-term average. Overall, that suggests that this could be a good time for long-term investors to buy. Before you buy stock in Datadog, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Datadog wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $664,089!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $881,731!* Now, it's worth noting Stock Advisor's total average return is 994% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 Jake Lerch has positions in Nvidia. The Motley Fool has positions in and recommends Datadog and Nvidia. The Motley Fool has a disclosure policy. 1 AI Super Stock Is Starting to Rebound, but Shares Still Look Cheap was originally published by The Motley Fool 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
