NVIDIA Financial News

Subscribe to enjoy similar stories.It has been a sad few years for the venerable central processing unit. The one-time standard-bearer of the computing revolution has been pushed aside in recent years with the rise of generative artificial intelligence powered by graphics processing units, or GPUs, which are used for a lot more than graphics these days.But now attention is swinging back to the main brain of data-center computing, the CPU.

Subscribe to enjoy similar stories.Nvidia is no longer the only AI chip game in town. But it is the largest by far, and the likelihood that it will be that way for the foreseeable future should count for something.It hasn’t counted for much lately.

Subscribe to enjoy similar stories.It all happened in one day.Three of the hottest startups in history moved closer Wednesday to becoming trillion-dollar companies. With a fresh filing, SpaceX showed the path to a landmark IPO likely to mint Elon Musk as the world’s first trillionaire.

Subscribe to enjoy similar stories.Investors’ pursuit of the companies supplying key materials to the artificial intelligence build-out is powering an epic rally in shares of chip makers. Other companies caught in the frenzy include a 175-year-old glass manufacturer, a heavy machinery giant and Japan’s leading maker of toilets.The AI trade has boosted stocks’ record run, with the S&P 500 climbing 1.5% to new highs on Wednesday after signs of progress on a Middle East peace deal and strong earnings from Advanced Micro Devices.

Subscribe to enjoy similar stories.Eli Lilly Chief Executive Dave Ricks was on stage with Nvidia founder Jensen Huang earlier this year in San Francisco touting the company’s tech prowess when Huang teased him about the painstaking process of developing new drugs.“I’m really hoping that your industry moves from drug discovery which is kind of like wandering around the forest looking for truffles,” Huang said, in front of a crowd of biotech and pharma investors.Indeed, Ricks and the rest of the pharmaceutical industry are looking to expand beyond collecting soil samples and bark pieces to find new drugs and are instead turning their hopes—and investment dollars—to AI. Lilly first announced a partnership with chip-maker Nvidia in October to build what it called the industry’s most powerful supercomputer, and expanded that in January with a $1 billion, five-year collaboration mixing their scientists and engineers in a new Bay Area lab aimed at discovering new medicines with AI tools.They aren’t alone.

Subscribe to enjoy similar stories.Memory prices have been going “parabolic,” a big investment bank wrote this past week. I gripped my TI-84 graphing calculator in outrage. My email inbox has turned into a parabo-looza, with misuse of that term up sixfold from last year.

Subscribe to enjoy similar stories.Intel CEO Lip-Bu Tan became the latest technocrat to embrace quantum computing on Thursday as privately held PsiQuantum announced he would be joining the company’s board.It’s a big step for someone who has previously cited quantum computing as a strategic priority. Back in February, Tan described quantum as “another big area coming up is around the corner” in relation to how large amounts of data are processed.Even before then, the executive had ties to PsiQuantum and other players in the industry.

Subscribe to enjoy similar stories.A public feud that played out on social media for years is now having its day in court. Tech billionaire Elon Musk took the stand this week and described OpenAI as a “stolen charity”, escalating a legal battle that is at the heart of the global artificial intelligence (AI) race.The lawsuit, filed by Musk against OpenAI and its chief executive, Sam Altman, also a billionaire, seeks damages of around $150 billion and challenges the company’s shift from a non-profit research lab to a commercial AI powerhouse.The case comes at a time when OpenAI is updating its guiding principles, reworking key partnerships, and expanding its footprint across cloud platforms.

Subscribe to enjoy similar stories.With everyone’s attention fixed on powerful chatbots like ChatGPT and Claude, it’s been easy to overlook the growth of another field of artificial intelligence: world models. These systems can grasp three-dimensional space and physics, providing the foundation for everything from robots to smart glasses to self-driving cars—and a capability that today's chatbots lack.

Subscribe to enjoy similar stories.Intel still has a long way to go to reclaim its former glory. The problem is that investors are acting like that’s already happened.The storied chip maker’s stock price has soared 88% so far this year, and more than tripled over the last 12 months.

Subscribe to enjoy similar stories.The artificial-intelligence trade came roaring back to life this week, with the Nasdaq Composite closing at a fresh high on Thursday, marking 12 straight days of gains. Underneath the optimism, however, are some of the same concerns about circular finance that plagued the stocks at the start of the year.Those are valid concerns ahead of a flurry of Big Tech earnings reports due out next week, including Google parent Alphabet, Facebook parent Meta Platforms, Microsoft, and Apple.

The Iran war has laid bare a paradox: Gulf money is helping underwrite America’s effort to win the artificial intelligence race, and now the US has started a conflict that could destabilize those investments. Some estimates have projected $2 trillion in long-term pledges from Middle Eastern nations to the AI boom, money that now looks precarious.

Can the U.S. pivot from a military deterrent to a more integrated strategy? Write to me at [email protected]. Include your full name and location, and I might publish your response in a coming issue (if you’re reading this in your inbox, you can just hit reply).This is an edition of the WSJ China newsletter, a weekly dispatch of exclusive insights on the contest between the U.S.

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Mint explains.Nvidia launched a new generation of its Vera Rubin chips, and an all-new Nvidia Groq 3 chip—designed after it signed a $20-billion partnership deal with the founder of Google’s custom chip.These focus on power efficiency, thereby significantly reducing the cost of AI. Huang referred to ‘inferencing’ or the cost of running AI, which he said will fall drastically when these new chips hit data centres in three years.The new chips, for the first time, took the spotlight away from building AI and onto running it, suggesting that Nvidia sees AI at a stage of mass adoption.Training AI is becoming templatized, while running AI will bring the bulk of the demand for specialized chips.

semiconductor maker also established a global coalition of companies, Nemotron. It includes the likes of Perplexity and Cursor to build large language models (LLMs) that will act as a reference point for enterprises globally.

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Two of the world’s largest pharmaceutical companies, a chemical manufacturer, and an auto giant have established internal artificial intelligence (AI) teams and opened centres to increase automation across their businesses, as the technology’s rapid pace continues to upend business operations worldwide.Over the last 18 months, Swiss life sciences major Novartis International AG and Texas-based chemical manufacturer Celanese Corporation started AI councils to identify segments that can be automated. Indiana-based Eli Lilly and Co.

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