Nvidia CEO Jensen Huang announced plans for annual AI accelerator upgrades, introducing the Blackwell Ultra chip for 2025 and the Rubin platform for 2026. At the Computex trade show in Taiwan, Huang emphasized Nvidia’s role in the generative AI revolution, highlighting new tools and software models. Nvidia aims to expand its market beyond cloud giants to various industries, promising substantial cost and energy savings with their technology. Nvidia’s advancements are bolstering its position as a key player in AI, pushing the company toward potentially surpassing Apple in market value.
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By Ian King and Vlad Savov
Nvidia Corp. Chief Executive Officer Jensen Huang said the company plans to upgrade its AI accelerators every year, announcing a Blackwell Ultra chip for 2025 and a next-generation platform in development called Rubin for 2026. ___STEADY_PAYWALL___
The company — now best known for its artificial intelligence data center systems — also introduced new tools and software models on the eve of the Computex trade show in Taiwan. Nvidia sees the rise of generative AI as a new industrial revolution and expects to play a major role as the technology shifts to personal computers, the CEO said in a keynote address at National Taiwan University.
Nvidia has been the main beneficiary of a massive flood of AI spending, helping turn the company into the world’s most valuable chipmaker. But it now looks to broaden its customer base beyond the handful of cloud-computing giants that generate much of its sales. As part of the expansion, Huang expects a larger swath of companies and government agencies to embrace AI — everyone from shipbuilders to drug developers. He returned to themes he set out a year ago at the same venue, including the idea that those without AI capabilities will be left behind.
“We are seeing computation inflation,” Huang said on Sunday. As the amount of data that needs to be processed grows exponentially, traditional computing methods cannot keep up and it’s only through Nvidia’s style of accelerated computing that we can cut back the costs, Huang said. He touted 98% cost savings and 97% less energy required with Nvidia’s technology, saying that constituted “CEO math, which is not accurate, but it is correct.”
Shares of Taiwan Semiconductor Manufacturing Co. and other suppliers rose after the announcement. TSMC’s stock climbed as much as 3.9%, while Wistron Corp. gained 4%.
Huang said the upcoming Rubin AI platform will use HBM4, the next iteration of the essential high-bandwidth memory that’s grown into a bottleneck for AI accelerator production, with leader SK Hynix Inc. largely sold out through 2025. He otherwise did not offer detailed specifications for the upcoming products, which will follow Blackwell.
“I think teasing out Rubin and Rubin Ultra was extremely clever and is indicative of its commitment to a year-over-year refresh cycle,” said Dan Newman, CEO and chief analyst at Futurum Group. “What I feel he hammered home most clearly is the cadence of innovation, and the company’s relentless pursuit of maximizing the limit of technology including software, process, packaging and partnerships to protect and expand its moat and market position.”
Nvidia got its start selling gaming cards for desktop PCs, and that background is coming into play as computer makers push to add more AI functions to their machines.
Microsoft Corp. and its hardware partners are using Computex to show off new laptops with AI enhancements under the branding of Copilot+. The majority of those devices coming to market are based on a new type of processor that will enable them to go longer on one battery charge, provided by Nvidia rival Qualcomm Inc.
While those devices are good for simple AI functionality, adding an Nvidia graphics card will massively increase their performance and bring new features to popular software like games, Nvidia said. PC makers such as Asustek Computer Inc. are offering such computers, the company said.
To help software makers bring more new capabilities to the PC, Nvidia is offering tools and pretrained AI models. They will handle complex tasks, such as deciding whether to crunch data on the machine itself or send it out to a data center over the internet.
Separately, Nvidia is releasing a new design for server computers built on its chips. The MGX program is used by companies such as Hewlett Packard Enterprise Co. and Dell Technologies Inc. to allow them to get to market faster with products that are used by corporations and government agencies. Even rivals Advanced Micro Devices Inc. and Intel Corp. are taking advantage of the design with servers that put their processors alongside Nvidia chips.Â
AMD CEO Lisa Su took the stage at Computex the day after Huang’s comments, sketching out her company’s progress in AI chips. AMD is speeding up the introduction of its AI processsors as it seeks to close the gap with Nvidia in the fast-growing field.
Nvidia’s earlier-announced products, such as Spectrum X for networking and Nvidia Inference Microservices — or NIM, which Huang called “AI in a box” — are now generally available and being widely adopted, the company said. It’s also going to offer free access to the NIM products. The microservices are a set of intermediate software and models that help companies roll out AI services more quickly, without having to worry about the underlying technology. Companies that deploy them then have to pay Nvidia a usage fee.
Huang also promoted the use of digital twins in a virtual world that Nvidia calls the Ominverse. To show the scale possible, he showed a digital twin of planet Earth, called Earth 2, and how it can help conduct more sophisticated weather pattern modeling and other complex tasks. He noted that Taiwan-based contract manufacturers such as Hon Hai Precision Industry Co., also known as Foxconn, are using the tools to make plans and operate their factories more efficiently.
© 2024 Bloomberg L.P.
Nvidia set to overtake Apple as world’s second-most valuable company
By Medha Singh
Nvidia could soon surpass Apple to become the world’s second-most valuable company, as the biggest beneficiary of the surge in adoption of AI applications takes on the iPhone maker that has been the largest Wall Street firm by market value for years.
The reliance of virtually all artificial intelligence applications such as OpenAI’s ChatGPT on Nvidia’s high-end chips has helped the stock nearly triple in value over the past year to $2.68 trillion.
In contrast, Apple ceded its No. 1 spot to Microsoft earlier this year as the once high-flying company grapples with weak demand for its iPhones and tough competition in China. It was last valued at $2.92 trillion.
“It is certainly notable because Apple has been so dominant for so long, especially on the growth and innovation front. Recently though, Apple’s innovation curve seems to have flattened, showing slower future growth,” said Brian Mulberry, client portfolio manager at Zacks Investment Management.
“On the other hand, Nvidia has been able to catch wave upon wave of growth. Beginning with gaming demand, then crypto and now AI, they have been able to perfectly match innovation with demand and that equals explosive growth.”
The semiconductor company is heavily weighted on the S&P 500 and the Nasdaq and has been pivotal in driving U.S. stocks to record highs. It accounted for more than a third of the S&P 500’s gains this year.
Nvidia also became the fastest company to grow from $1 trillion to $2 trillion in 2024, zooming past Amazon.com , Google-parent Alphabet and Saudi Aramco .
Since its blowout forecast about a year ago, the company has consistently breezed past Wall Street’s lofty expectations for revenue and profit, with demand for its graphic processors far outstripping supply as Big Tech rushes to embed AI applications.
Sharp increases in analysts’ earnings estimates have resulted in a fall in the stock’s forward earnings valuation, even with the share price racing higher.
It traded at 37 times forward earnings, compared with 48 times earnings a year ago, LSEG data showed.
Nvidia is also popular in the derivatives market. GraniteShares 2x Long NVDA Daily ETF, which tracks twice the daily percentage change in Nvidia, is the largest single stock ETF.
The fund clocked $1 billion in daily turnover for the first time ahead of Nvidia’s results last week and its total net assets have hit a record $2.82 billion this week, according to Lipper data.
Options traders are bullish as Nvidia’s volumes, particularly for calls, has picked up in recent sessions after the surge in its stock price.
Thursday marked the fifth straight session where more than a million Nvidia call options changed hands, the longest such streak in the stock’s history, according to a Reuters analysis of Trade Alert data.
SOURCE: REUTERS
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