Nvidia earnings call

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Nvidia earnings call

Use limited data to select advertising. Create profiles for personalised advertising. Use profiles to select personalised advertising. Create profiles to personalise content. Use profiles to select personalised content. Measure advertising performance. Measure content performance. Understand audiences through statistics or combinations of data from different sources. Develop and improve services. Use limited data to select content. List of Partners vendors. After Nvidia's NVDA fourth-quarter results for the fiscal year handily beat analysts' expectations, company executives, speaking on an earnings call, discussed artificial intelligence AI contributing to record-high data center revenue, its AI enterprise software opportunities, the company's expansive AI ecosystem and declining revenue in China. The software segment represented a small portion of Nvidia's earnings, but Huang said that he believes that "every enterprise in the world, every software enterprise company that [is] deploying software, in all the clouds and private clouds and on-prem will run on Nvidia AI enterprise. The fundamental reason that Nvidia will be successful in software" is because the company manages the "complicated stack of software that's involved in accelerated computing" for its enterprise cloud service provider CSP customers, Huang said, adding that AI only amplifies the demand for these services. He explained that Nvidia AI enterprise is like "an operating system for artificial intelligence" that the company will charge customers per graphics processing unit GPU running the system.

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Vertical industries — led by auto, financial services and healthcare — are now at a multibillion-dollar level. The year ahead will bring major new product cycles with exceptional innovations to help propel our industry forward. Conference Call and Webcast Information NVIDIA will conduct a conference call with analysts and investors to discuss its fourth quarter and fiscal financial results and current financial prospects today at 2 p. Pacific time 5 p. Eastern time.

Conference Call and Webcast Information NVIDIA will conduct a conference call with analysts and investors to discuss its first quarter fiscal financial results and current financial prospects today at 2 p. Pacific time 5 p. Eastern time. These reconciliations adjust the related GAAP financial measures to exclude acquisition termination costs, stock-based compensation expense, acquisition-related and other costs, IP-related costs, legal settlement costs, other, losses from non-affiliated investments, interest expense related to amortization of debt discount, and the associated tax impact of these items where applicable. Free cash flow is calculated as GAAP net cash provided by operating activities less both purchases of property and equipment and intangible assets and principal payments on property and equipment and intangible assets. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. All rights reserved. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability, and specifications are subject to change without notice.

Nvidia earnings call

Automotive is becoming a tech industry and is on track to be our next billion-dollar business. Advances in AI are driving our Data Center business while accelerating breakthroughs in fields from drug discovery to climate science to robotics. Conference Call and Webcast Information NVIDIA will conduct a conference call with analysts and investors to discuss its second quarter fiscal financial results and current financial prospects today at 2 p. Pacific time 5 p. Eastern time. These reconciliations adjust the related GAAP financial measures to exclude acquisition termination costs, stock-based compensation expense, acquisition-related and other costs, contributions, IP-related costs, legal settlement costs, gains and losses from non-affiliated investments, interest expense related to amortization of debt discount, the associated tax impact of these items where applicable, domestication tax benefit, and foreign tax benefit. Free cash flow is calculated as GAAP net cash provided by operating activities less both purchases of property and equipment and intangible assets and principal payments on property and equipment and intangible assets. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. All rights reserved.

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Cash and cash equivalents at beginning of period. Weighted average shares used in per share computation:. Similar to Q4, Q1 gross margins are benefiting from favorable component costs. These choices will be signaled to our partners and will not affect browsing data. Company News Earnings Reports and News. Email Alert Sign Up Confirmation. Long-term operating lease liabilities. Q3 FY Three Months Ended. Compute revenue grew more than 5x and networking revenue tripled from last year. Powered By Q4 Inc.

Our new AI supercomputer, with H and its Transformer Engine and Quantum-2 networking fabric, is in full production.

We are now entering the ethernet networking space with the launch of our new Spectrum-X end-to-end offering designed for an AI-optimized networking for the data center. Twelve Months Ended. GAAP operating expenses. These include white papers, government data, original reporting, and interviews with industry experts. In regions outside of the U. Powered By Q4 Inc. Prepaid expenses and other assets. Starting with data center. It can't be reproduced or transcribed without our prior written consent. Change in cash and cash equivalents. Investopedia requires writers to use primary sources to support their work. At the same time, companies have started to build the next generation of modern data centers, what we refer to as AI factories, purpose built to refine raw data and produce valuable intelligence in the era of generative AI. Email Alerts To receive notifications via email, enter your email address and select at least one subscription below. You must click the link in the email to activate your subscription.