Latest news with #BlackwellUltraGPU


Business Insider
13 hours ago
- Business
- Business Insider
CoreWeave (CRWV) Begins Using Nvidia's Blackwell Ultra GPUs
CoreWeave (CRWV) has become the first cloud provider to deploy Nvidia's (NVDA) next-generation artificial intelligence (AI) chip called the Blackwell Ultra GPU. Don't Miss TipRanks' Half-Year Sale Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. Make smarter investment decisions with TipRanks' Smart Investor Picks, delivered to your inbox every week. Dell Technologies (DELL) is providing the servers to run the Nvidia Blackwell chips on, said the companies in a joint statement. The launch features liquid-cooled Dell servers that incorporate 72 Nvidia Blackwell Ultra GPUs and 36 Nvidia Grace CPUs. CoreWeave said this is just the beginning and that it plans to deploy more Nvidia Blackwell Ultra GPUs on Dell servers later this year. 'We're proud to be the first to operationalize this transformative platform at scale and deliver it into the hands of innovators building the next generation of AI,' said CoreWeave's Chief Technology Officer (CTO) Peter Salanki in the news release. Seamless Transition CoreWeave was founded in 2017 and provides large-scale access to graphics processing units, or GPUs, via the cloud. With GPUs in demand, it has become a much needed service for both AI start-ups and established companies alike. The Blackwell Ultra GPU is a follow-up to the earlier Blackwell chip from Nvidia and offers 50% more performance compared to its predecessor. Earlier this year, Nvidia CEO Jensen Huang said the upgrade to Blackwell Ultra GPUs would be seamless compared with the difficult transition to Blackwell from earlier Hopper chips. Dell has become a leading provider of computers and servers for AI microchips and processors. Is CRWV Stock a Buy? CoreWeave's stock has a consensus Moderate Buy rating among 18 Wall Street analysts. That rating is based on six Buy, 11 Hold, and one Sell recommendations issued in the last three months. The average CRWV price target of $78.53 implies 52.17% downside risk from current levels.


Globe and Mail
22-03-2025
- Business
- Globe and Mail
1 Trillion Reasons to Buy Nvidia's Stock Right Now
At its GTC conference, Nvidia (NASDAQ: NVDA) gave investors 1 trillion potential reasons to buy its stock. That came in the form of CEO Jensen Huang projecting that data center infrastructure capital expenditure (capex) would hit $1 trillion or more by 2028. Investors, nonetheless, largely shrugged off the robust forecast and other upbeat news from the event. That said, if Nvidia's projections come to fruition, the stock has a lot more upside from here. More growth to come $1 trillion in data center infrastructure capex by 2028 would be a continued acceleration of spending in the space, which would be great news for Nvidia. The company's graphics processing units (GPUs) have become the backbone of the artificial intelligence (AI) infrastructure buildout, due to their powerful data processing abilities and ease of use. In a chart from the presentation, Nvidia estimated 2024 data center infrastructure spending to be around $400 billion in 2024. For its past fiscal year (fiscal year 2025 ended in January), the company produced total revenue of $130.5 billion, of which $115.2 billion was from its data center segment. Meanwhile, research company Dell'Oro Group just estimated that 2024 data center infrastructure spending reached $455 billion. That translates into Nvidia currently capturing around 25% to 30% of this spending. If Nvidia was able to keep its current share of this spending, that would translate into between $250 billion to $300 billion in data center infrastructure revenue alone in 2028. The company plans to continue to lead the way with both its chips and its software. It introduced the new Blackwell Ultra GPU at the event, which will begin shipping in the second half of this year. The new Blackwell chips are more powerful, making them great for more time-sensitive services. Nvidia predicted Blackwell revenue would be much greater than the revenue it generated from its earlier Hopper architecture. Continuing with its chip innovation, the company is also set to introduce its new Vera Rubin chip, which will combine a GPU with its next-generation Rubin architecture and a custom-designed central processing unit (CPU), using Arm 's technology. It said the CPU will be twice as fast as the off-the-shelf one used in its earlier Grace Blackwell chips. Meanwhile, it will look to increase the number of GPU dies in its current Blackwell chips from two to four with the "Rubin Next" chip that it plans to launch in the second half of 2027. Nvidia isn't just innovating on the hardware side. It also revealed a new open-source software system called Nvidia Dynamo that will help increase inference throughput and reduce costs. The company said the new software will help orchestrate and accelerate inference communication across thousands of GPUs. It said that Dynamo is not just an operating system for a data center, but for an entire AI factory. Nvidia doesn't just have its sights set on data centers, though. It's looking to tackle the robotics and autonomous driving markets as well. Huang proclaimed that "the age of generalist robotics is here" with the introduction of Isaac GROOT N1, which he called the world's first "open Humanoid Robot foundation model." The model can be trained on real or synthetic data to help humanoid robots master tasks. The company thinks these robots will be able to fill menial labor jobs and help with a global 50-million-job shortage. The company will also team up with General Motors to help the automaker develop its own autonomous driving system. The move is somewhat surprising, since GM scrapped its prior attempt at a robotaxi business last year. The unit became mired in controversy when one of its Cruise robotaxis dragged a pedestrian down the road after the person was originally hit by another vehicle. Nvidia said that in addition to supplying GPUs, it will help GM build custom AI systems. GM will also use Nvidia's GPUs and software to train AI manufacturing models in order to build next-generation factory robots. This follows Nvidia striking a deal with Toyota last month to provide chips and software to help run its advanced driver-assistance features. Is the stock a buy? While Nvidia has been the biggest winner of the AI infrastructure buildout, it still has a very large opportunity in front of it. AI infrastructure spending is still increasing, and Nvidia is not resting on its laurels. It continues to drive innovation and is looking to make sure it's the winner in AI inference, not just AI training. Meanwhile, it's looking for growth beyond the data center into other large potential markets. At the same time, Nvidia's stock remains attractively valued following the recent market sell-off. The stock trades at a forward price-to-earnings (P/E) ratio of under 26 times this year's analyst estimates and a price/earnings-to-growth (PEG) below 0.5. A PEG of 1 is typically the threshold for a stock being considered undervalued, and Nvidia's multiple is way below this mark. As such, Nvidia looks like a solid long-term buy at these levels. Don't miss this second chance at a potentially lucrative opportunity Ever feel like you missed the boat in buying the most successful stocks? Then you'll want to hear this. On rare occasions, our expert team of analysts issues a 'Double Down' stock recommendation for companies that they think are about to pop. If you're worried you've already missed your chance to invest, now is the best time to buy before it's too late. 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Yahoo
22-03-2025
- Business
- Yahoo
1 Trillion Reasons to Buy Nvidia's Stock Right Now
At its GTC conference, Nvidia (NASDAQ: NVDA) gave investors 1 trillion potential reasons to buy its stock. That came in the form of CEO Jensen Huang projecting that data center infrastructure capital expenditure (capex) would hit $1 trillion or more by 2028. Investors, nonetheless, largely shrugged off the robust forecast and other upbeat news from the event. That said, if Nvidia's projections come to fruition, the stock has a lot more upside from here. $1 trillion in data center infrastructure capex by 2028 would be a continued acceleration of spending in the space, which would be great news for Nvidia. The company's graphics processing units (GPUs) have become the backbone of the artificial intelligence (AI) infrastructure buildout, due to their powerful data processing abilities and ease of use. In a chart from the presentation, Nvidia estimated 2024 data center infrastructure spending to be around $400 billion in 2024. For its past fiscal year (fiscal year 2025 ended in January), the company produced total revenue of $130.5 billion, of which $115.2 billion was from its data center segment. Meanwhile, research company Dell'Oro Group just estimated that 2024 data center infrastructure spending reached $455 billion. That translates into Nvidia currently capturing around 25% to 30% of this spending. If Nvidia was able to keep its current share of this spending, that would translate into between $250 billion to $300 billion in data center infrastructure revenue alone in 2028. The company plans to continue to lead the way with both its chips and its software. It introduced the new Blackwell Ultra GPU at the event, which will begin shipping in the second half of this year. The new Blackwell chips are more powerful, making them great for more time-sensitive services. Nvidia predicted Blackwell revenue would be much greater than the revenue it generated from its earlier Hopper architecture. Continuing with its chip innovation, the company is also set to introduce its new Vera Rubin chip, which will combine a GPU with its next-generation Rubin architecture and a custom-designed central processing unit (CPU), using Arm's technology. It said the CPU will be twice as fast as the off-the-shelf one used in its earlier Grace Blackwell chips. Meanwhile, it will look to increase the number of GPU dies in its current Blackwell chips from two to four with the "Rubin Next" chip that it plans to launch in the second half of 2027. Nvidia isn't just innovating on the hardware side. It also revealed a new open-source software system called Nvidia Dynamo that will help increase inference throughput and reduce costs. The company said the new software will help orchestrate and accelerate inference communication across thousands of GPUs. It said that Dynamo is not just an operating system for a data center, but for an entire AI factory. Nvidia doesn't just have its sights set on data centers, though. It's looking to tackle the robotics and autonomous driving markets as well. Huang proclaimed that "the age of generalist robotics is here" with the introduction of Isaac GROOT N1, which he called the world's first "open Humanoid Robot foundation model." The model can be trained on real or synthetic data to help humanoid robots master tasks. The company thinks these robots will be able to fill menial labor jobs and help with a global 50-million-job shortage. The company will also team up with General Motors to help the automaker develop its own autonomous driving system. The move is somewhat surprising, since GM scrapped its prior attempt at a robotaxi business last year. The unit became mired in controversy when one of its Cruise robotaxis dragged a pedestrian down the road after the person was originally hit by another vehicle. Nvidia said that in addition to supplying GPUs, it will help GM build custom AI systems. GM will also use Nvidia's GPUs and software to train AI manufacturing models in order to build next-generation factory robots. This follows Nvidia striking a deal with Toyota last month to provide chips and software to help run its advanced driver-assistance features. While Nvidia has been the biggest winner of the AI infrastructure buildout, it still has a very large opportunity in front of it. AI infrastructure spending is still increasing, and Nvidia is not resting on its laurels. It continues to drive innovation and is looking to make sure it's the winner in AI inference, not just AI training. Meanwhile, it's looking for growth beyond the data center into other large potential markets. At the same time, Nvidia's stock remains attractively valued following the recent market sell-off. The stock trades at a forward price-to-earnings (P/E) ratio of under 26 times this year's analyst estimates and a price/earnings-to-growth (PEG) below 0.5. A PEG of 1 is typically the threshold for a stock being considered undervalued, and Nvidia's multiple is way below this mark. As such, Nvidia looks like a solid long-term buy at these levels. 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 $721,394!* Now, it's worth noting Stock Advisor's total average return is 839% — a market-crushing outperformance compared to 164% 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 March 18, 2025 Geoffrey Seiler has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Nvidia. The Motley Fool recommends General Motors. The Motley Fool has a disclosure policy. 1 Trillion Reasons to Buy Nvidia's Stock Right Now was originally published by The Motley Fool
Yahoo
18-03-2025
- Business
- Yahoo
Nvidia's GTC event could be a 'wake-up moment' for investors as the AI trade falters
Nvidia (NVDA) stock slid about 3% Tuesday morning ahead of the AI chipmaker's annual GTC event in California on Tuesday. CEO Jensen Huang was expected to kick off a keynote previewing what's ahead for the company. His commentary will likely be closely watched by investors evaluating whether the AI trade still has room to run. Nvidia stock has experienced significant volatility in 2025. Shares started the year with a bang, hitting a record close above $149 in early January. They tumbled when a new AI model from Chinese firm DeepSeek reignited concerns over an AI bubble and shaved nearly $600 billion from the chipmaker's market cap in a single day. In its most recent rout, following its fourth quarter earnings and heightened macroeconomic uncertainty, Nvidia saw its market cap losses from its record close reach $1 trillion. But Nvidia bull and Wedbush analyst Dan Ives wrote in a note to investors Tuesday that he believes the company's GTC event in San Jose, Calif., this week will be "a wake-up moment for the tech bulls." Huang is expected to debut the company's upcoming Blackwell Ultra GPU (graphics processing unit, or AI chip), a successor to Nvidia's current-generation Blackwell AI chip, which the company said achieved full-scale production in the most recent quarter. Huang is also expected to preview Nvidia's Vera Rubin superchip, the next-gen version of its latest Grace Blackwell superchips. Overall, tech stocks have led the stock market's recent downturn. The Nasdaq (^IXIC) entered correction territory on March 6, and the S&P 500 (^GSPC) followed suit a week later, as Trump's tariffs and DOGE-driven cuts to federal jobs fueled concerns over inflation. Read more: How does Nvidia make money? "We clearly need stable Trump policy and investors need to know the rules of the game ... but that will all happen over the coming months and we do not believe this dramatically changes the trajectory of the AI Revolution," wrote Ives, later adding, "We believe this week's Nvidia GTC Conference will be a turning point for tech stocks as the Street starts to refocus on the AI Revolution and the massive tech spending ahead for the coming years." Ives wrote that he expects Huang to highlight Nvidia's "lingering worries about DeepSeek, and also focus on the physical AI future with autonomous and robotics," among other topics. Truist analyst Will Stein also stayed bullish on Nvidia ahead of GTC, reiterating his Buy rating and $205 price target on the stock in a note to investors Tuesday. Stein acknowledged bearish arguments against the AI trade: "The biggest investor concern (that was magnified by DeepSeek (private)) is that NVDA's customers are deploying too much AI compute capacity today, and that customers will subsequently enter a period of digestion, causing a cyclical downturn. To us, this dynamic is a certainty; the only question is on timing." He continued: "The way NVDA might counter this narrative is to borrow a page from AVGO's [Broadcom's (AVGO)] playbook by highlighting customer 'commitments' to build large GPU clusters several years in the future [in other words, commitments to buying Nvidia's AI chips for the next few years]." Stein continued: 'We continue to view NVDA as *the* AI company. Its leadership position is owing less to the architecture, speed, or performance of its chips, and more to the results of its culture of innovation, ecosystem of incumbency, and massive ongoing investment in software, training models, and services." Laura Bratton is a reporter for Yahoo Finance. Follow her on Bluesky @ Email her at
Yahoo
18-03-2025
- Business
- Yahoo
Nvidia's GTC conference could be a 'wake-up moment' for investors as the AI trade falters
Nvidia (NVDA) stock slid about 3% Tuesday morning ahead of the AI chipmaker's annual GTC conference in California on Tuesday. CEO Jensen Huang was expected to kick off a keynote previewing what's ahead for the company. His commentary will likely be closely watched by investors evaluating whether the AI trade still has room to run. Nvidia stock has experienced significant volatility in 2025. Shares started the year with a bang, hitting a record close above $149 in early January. They tumbled when a new AI model from Chinese firm DeepSeek reignited concerns over an AI bubble and shaved nearly $600 billion from the chipmaker's market cap in a single day. In its most recent rout following its fourth quarter earnings and heightened macroeconomic uncertainty, Nvidia saw its market cap losses from its record close reach $1 trillion. But Nvidia bull and Wedbush analyst Dan Ives wrote in a note to investors Tuesday that he believes the company's GTC conference in San Jose this week will be 'a wake-up moment for the tech bulls.' Huang is expected to debut the company's upcoming Blackwell Ultra GPU [graphics processing unit, or AI chip], a successor to its current-generation Blackwell AI chip, which the company said achieved full-scale production in the most recent quarter. Huang is also expected to preview Nvidia's Vera Rubin superchip, the next-gen version of its latest Grace Blackwell superchips. Overall, tech stocks have led the stock market's recent downturn. The Nasdaq (^IXIC)entered correction territory March 6, and the S&P 500 (^GSPC) followed suit a week later, as Trump's tariffs and DOGE-driven cuts to federal jobs fueled concerns over inflation. 'We clearly need stable Trump policy and investors need to know the rules of the that will all happen over the coming months and we do not believe this dramatically changes the trajectory of the AI Revolution,' wrote Ives, later adding, 'We believe this week's Nvidia GTC Conference will be a turning point for tech stocks as the Street starts to refocus on the AI Revolution and the massive tech spending ahead for the coming years.' Ives wrote that he expects Huang to highlight Nvidia's 'lingering worries about DeepSeek, and also focus on the physical AI future with autonomous and robotics,' among other topics. Truist analyst Will Stein also stayed bullish on Nvidia ahead of GTC, reiterating his Buy rating and $205 price target on the stock in a note to investors Tuesday. Stein acknowledged bearish arguments against the AI trade: 'The biggest investor concern (that was magnified by DeepSeek (private)) is that NVDA's customers are deploying too much AI compute capacity today, and that customers will subsequently enter a period of digestion, causing a cyclical downturn. To us, this dynamic is a certainty; the only question is on timing.' He continued, 'The way NVDA might counter this narrative is to borrow a page from AVGO's [Broadcom's (AVGO)] playbook by highlighting customer "commitments" to build large GPU clusters several years in the future [in other words, commitments to buying Nvidia's AI chips for the next few years].' Stein continued: 'We continue to view NVDA as *the* AI company. Its leadership position is owing less to the architecture, speed, or performance of its chips, and more to the results of its culture of innovation, ecosystem of incumbency, and massive ongoing investment in software, training models, and services.' Laura Bratton is a reporter for Yahoo Finance. Follow her on Bluesky @ Email her at Sign in to access your portfolio