Latest news with #JensonHuang
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Business Standard
4 days ago
- Business
- Business Standard
Andhra govt, Nvidia sign MoU to launch AI university, train 10K students
The Government of Andhra Pradesh on Friday announced that it has signed a memorandum of understanding (MoU) with American chipmaker Nvidia to set up a proposed Artificial Intelligence (AI) university in the state. The agreement focuses on skills training, research, infrastructure development, and support for start-ups. The announcement follows a meeting between Andhra Pradesh IT and Electronics Minister Nara Lokesh and Nvidia CEO Jenson Huang in Mumbai in October 2024, during which suggestions for establishing the university were discussed. Creating an AI ecosystem Under the MoU, the government and Nvidia aim to train 10,000 engineering students across Andhra Pradesh over the next two years. Nvidia will also provide curriculum support and technical training materials to assist engineering colleges in delivering AI education. To enhance research and development activities, Nvidia will help identify and establish AI research centres across the state. These centres will address key technological challenges and foster the development of practical applications. 'This partnership with Nvidia marks a decisive step in our vision to position Andhra Pradesh as a national leader in artificial intelligence. By equipping 10,000 students with cutting-edge AI skills and supporting our startup ecosystem, we are laying the foundation for a future-ready economy driven by innovation, research, and entrepreneurship,' said Lokesh. Vishal Dhupar, managing director for Asia South at Nvidia, said, 'We are proud to collaborate with the Government of Andhra Pradesh in building a strong and inclusive AI ecosystem. This initiative reflects our commitment to democratising access to AI education, accelerating research, and enabling startups to innovate at scale. Together, we aim to create a model that can inspire similar efforts across the country.' AI factories to be established Nvidia will also advise on establishing AI factories — hubs focused on innovation and talent development. The state government, in turn, plans to support up to 500 AI-focused start-ups in applying to Nvidia's Inception Programme.
Yahoo
28-02-2025
- Business
- Yahoo
Here's How Generative AI Factors Into Nvidia's Plan for Growth
A handful of companies seem to be at the center of the artificial intelligence (AI) universe, and Nvidia (NASDAQ: NVDA) is certainly one of them. The company's unique ability to design some of the most advanced processors for AI has vaulted its status, not to mention its share price, over the past several years. Nvidia's management has talked extensively about generative AI on recent earnings calls, according to research from The Motley Fool. But what, exactly, are Nvidia's long-term prospects from generative AI? Here are three of the biggest opportunities. You've probably noticed a lot of technology companies talk about AI spending lately. The figures are often in the billions of dollars, but what is most of that money being spent on? In many cases, data center infrastructure. The world's largest tech companies are in an AI race and almost all of them have pulled out their checkbooks to try to win it. Nvidia benefits no matter where the money is coming from because it designs processors that work perfectly for training advanced AI models. To continue developing new AI models and processing all of the requests being made by current ones, companies need to upgrade their data centers to accelerate their computing power. That means, according to Nvidia's earnings calls, that tech giants are transitioning from general-purpose data centers to AI ones. The opportunity here is massive. Nvidia CEO Jenson Huang thinks AI data center spending will reach $2 trillion in the next five years alone. The spending is already paying off for the company, with Nvidia's data center revenue more than doubling to $30.8 billion in the fiscal third quarter (which ended Oct. 27). This opportunity goes hand in hand with data center spending, but I want to break it out into its own category because I think it's important to distinguish between AI data center spending and AI cloud services. Some data center spending will go to building and training new AI models. But some of it will go to building out new AI cloud services, like conversational AI, enterprise AI services, artificial intelligence agents, and video and image generation. Global cloud revenue could reach $2 trillion by 2035 because of AI, according to Goldman Sachs, and as more of these AI cloud services come online, they'll likely be powered by Nvidia's processors. Nvidia develops its own technology for autonomous vehicles and has partnered with many automakers to bring its hardware and software components to the road. Most recently, Uber Technologies and Nvidia announced a new partnership that will utilize Nvida's generative AI tech to "supercharge the timeline for safe and scalable autonomous driving solutions for the industry," Uber CEO Dara Khosrowshahi said. This is in addition to Nvidia's other partnerships, which include Toyota Motor, Volvo, BYD, and others. The market potential for autonomous vehicles is significant, with Move Strategy Consulting estimating it could be worth $2.3 trillion by 2030. And Nvidia is already benefiting. The company's automotive segment generated $449 million in the first quarter of fiscal year 2025 (which ended Oct. 31, 2024), an increase of 72% year over year. The current autos segment growth gives Nvidia an estimated $5 billion annual run rate for its automotive segment sales this year. And Huang is very optimistic that there's plenty more opportunity. Speaking about autonomous vehicles at the recent CES conference, Huang said, "I predict that this will likely be the first multitrillion-dollar robotics industry." Nvidia's stock has a forward price-to-earnings multiple of 32.5, compared to the S&P 500's forward P/E of 24.5. That means you're not getting Nvidia at a discount if you buy its shares right now, but it's still relatively well priced amid a sea of AI stocks with much less potential. Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $776,055!* Now, it's worth noting Stock Advisor's total average return is 892% — a market-crushing outperformance compared to 174% 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 February 24, 2025 Chris Neiger has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Goldman Sachs Group, Nvidia, and Uber Technologies. The Motley Fool recommends BYD Company. The Motley Fool has a disclosure policy. Here's How Generative AI Factors Into Nvidia's Plan for Growth was originally published by The Motley Fool Sign in to access your portfolio
Globe and Mail
27-02-2025
- Business
- Globe and Mail
Here's How Generative AI Factors Into Nvidia's Plan for Growth
A handful of companies seem to be at the center of the artificial intelligence (AI) universe, and Nvidia (NASDAQ: NVDA) is certainly one of them. The company's unique ability to design some of the most advanced processors for AI has vaulted its status, not to mention its share price, over the past several years. Nvidia's management has talked extensively about generative AI on recent earnings calls, according to research from The Motley Fool. But what, exactly, are Nvidia's long-term prospects from generative AI? Here are three of the biggest opportunities. 1. Data center spending is through the roof You've probably noticed a lot of technology companies talk about AI spending lately. The figures are often in the billions of dollars, but what is most of that money being spent on? In many cases, data center infrastructure. The world's largest tech companies are in an AI race and almost all of them have pulled out their checkbooks to try to win it. Nvidia benefits no matter where the money is coming from because it designs processors that work perfectly for training advanced AI models. To continue developing new AI models and processing all of the requests being made by current ones, companies need to upgrade their data centers to accelerate their computing power. That means, according to Nvidia's earnings calls, that tech giants are transitioning from general-purpose data centers to AI ones. The opportunity here is massive. Nvidia CEO Jenson Huang thinks AI data center spending will reach $2 trillion in the next five years alone. The spending is already paying off for the company, with Nvidia's data center revenue more than doubling to $30.8 billion in the fiscal third quarter (which ended Oct. 27). 2. AI cloud computing services are on the rise This opportunity goes hand in hand with data center spending, but I want to break it out into its own category because I think it's important to distinguish between AI data center spending and AI cloud services. Some data center spending will go to building and training new AI models. But some of it will go to building out new AI cloud services, like conversational AI, enterprise AI services, artificial intelligence agents, and video and image generation. Global cloud revenue could reach $2 trillion by 2035 because of AI, according to Goldman Sachs, and as more of these AI cloud services come online, they'll likely be powered by Nvidia's processors. 3. The autonomous vehicle market could be huge Nvidia develops its own technology for autonomous vehicles and has partnered with many automakers to bring its hardware and software components to the road. Most recently, Uber Technologies and Nvidia announced a new partnership that will utilize Nvida's generative AI tech to "supercharge the timeline for safe and scalable autonomous driving solutions for the industry," Uber CEO Dara Khosrowshahi said. This is in addition to Nvidia's other partnerships, which include Toyota Motor, Volvo, BYD, and others. The market potential for autonomous vehicles is significant, with Move Strategy Consulting estimating it could be worth $2.3 trillion by 2030. And Nvidia is already benefiting. The company's automotive segment generated $449 million in the first quarter of fiscal year 2025 (which ended Oct. 31, 2024), an increase of 72% year over year. The current autos segment growth gives Nvidia an estimated $5 billion annual run rate for its automotive segment sales this year. And Huang is very optimistic that there's plenty more opportunity. Speaking about autonomous vehicles at the recent CES conference, Huang said, "I predict that this will likely be the first multitrillion-dollar robotics industry." Nvidia isn't cheap, but its AI potential remains high Nvidia's stock has a forward price-to-earnings multiple of 32.5, compared to the S&P 500 's forward P/E of 24.5. That means you're not getting Nvidia at a discount if you buy its shares right now, but it's still relatively well priced amid a sea of AI stocks with much less potential. Should you invest $1,000 in Nvidia right now? Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $776,055!* Stock Advisor provides investors with an easy-to-follow blueprint for success, including guidance on building a portfolio, regular updates from analysts, and two new stock picks each month. The Stock Advisor service has more than quadrupled the return of S&P 500 since 2002*. Learn more » *Stock Advisor returns as of February 24, 2025
