All posts tagged: Nvidia

Corning Shares Erupt On Nvidia Deal To Supercharge Fiber Optics Output By 10x

Corning Shares Erupt On Nvidia Deal To Supercharge Fiber Optics Output By 10x

Published by Jenni Sidey

U.S.-based glass company Corning soared in premarket trading in New York after announcing a new mega deal with Nvidia to expand manufacturing capacity for fiber optic production used in AI data centers. “Corning will increase its U.S.-based optical connectivity manufacturing capacity by 10x and expand its U.S. fiber production capacity by more than 50% to meet the accelerating demand driven by AI factory buildouts,” Nvidia wrote in a press release.  The expansion includes three new manufacturing plants in North Carolina and Texas and is expected to create more than 3,000 high-paying U.S. jobs. In a filing, Corning disclosed that Nvidia is making a $500 million equity-linked investment. Under the deal, Corning issued Nvidia two warrants: Traditional warrant: Nvidia can buy up to 15 million Corning shares at $180 per share. Pre-funded warrant: Nvidia can buy up to 3 million Corning shares at a nominal exercise price of $0.0001 per share. Both warrants are exercisable immediately and expire within three years, unless earlier triggered by the termination of the partnership agreement or a major M&A transaction. …

ASML CEO Christophe Fouquet: No one is coming for us

ASML CEO Christophe Fouquet: No one is coming for us

Published by skeptic

Every time you use AI, you are, in some small way, depending on a 42-year-old, 44,000-person Dutch company that spends €4.5 billion each year to advance its technology. ASML, headquartered in the Netherlands, makes the machines that make the chips that make AI possible. More specifically, it makes the only machines in the world capable of printing the microscopic patterns on silicon wafers that define the most advanced semiconductors — a process called extreme ultraviolet lithography, or EUV. The machines are roughly the size of a school bus, take months to assemble, involve hundreds of suppliers, and cost anywhere from $200 million to upwards of $400 million apiece depending on the generation (prices that give even ASML’s biggest customers pause occasionally). That monopoly has made ASML the most valuable company in Europe, worth over $530 billion. And with the four largest American tech companies — Microsoft, Meta, Amazon and Google — committing more than $600 billion in AI infrastructure spending this year alone, demand for ASML’s machines has surged to the point where the company …

As workers worry about AI, Nvidia’s Jensen Huang says AI is ‘creating an enormous number of jobs’

As workers worry about AI, Nvidia’s Jensen Huang says AI is ‘creating an enormous number of jobs’

Published by skeptic

When it comes to the specter of AI’s labor-displacing potential, Jensen Huang thinks that the American worker has nothing to fear. During a conversation Monday night with MSNBC’s Becky Quick hosted by the Milken Institute — an economic policy think tank, the jovial Nvidia CEO said that AI was an industrial-scale generator of jobs, not the harbinger of mass unemployment that so-called “AI doomers” have often accused it of being. A number of different topics were broached during the talk, but a central theme that kept coming back was the ongoing economic anxiety surrounding the AI industry and whether it was something Americans should be legitimately worried about. At one point Quick noted: “This is happening so quickly. Is there a bigger dislocation than we’ve seen in the past that leads to greater inequality? And what do we do about that?” Throughout the night, Huang struck an optimistic note. “AI creates jobs,” Huang asserted during the discussion, adding that “AI is [the] United States’ best opportunity to re-industrialize” itself. Huang noted that the AI industry …

Pentagon inks deals with Nvidia, Microsoft, and AWS to deploy AI on classified networks

Pentagon inks deals with Nvidia, Microsoft, and AWS to deploy AI on classified networks

Published by skeptic

After landing agreements with Google, SpaceX, and OpenAI, the U.S. Defense Department said on Friday that it has signed deals with Nvidia, Microsoft, Amazon Web Services, and Reflection AI that allow it to deploy their AI tech and models on its classified networks for “lawful operational use.” “These agreements accelerate the transformation toward establishing the United States military as an AI-first fighting force and will strengthen our warfighters’ ability to maintain decision superiority across all domains of warfare,” the statement reads. The deals come as the U.S. Department of Defense has accelerated its diversification of AI vendors in the wake of its controversial dispute with Anthropic over usage terms of its AI models. The Pentagon wanted unrestricted use of Anthropic’s AI tools, but the AI lab insisted on guardrails to prevent Anthropic’s tech from being used for domestic mass surveillance and autonomous weapons. The two are fighting it out in court at the moment, though Anthropic in March won an injunction against the Pentagon’s move to brand the company a “supply-chain risk.” “The Department will …

Lutnick grilled on Nvidia chip sales to China by Sen. Chris Coons

Lutnick grilled on Nvidia chip sales to China by Sen. Chris Coons

Published by Sam Flores

U.S. Commerce Secretary Howard Lutnick testifies during Senate Appropriations Subcommittee on Commerce, Justice, Science, and Related Agencies hearing on fiscal year 2027 budget requests on Capitol Hill in Washington, DC, on April 22, 2026. Saul Loeb | AFP | Getty Images Sen. Chris Coons, D-Del., pressed Commerce Secretary Howard Lutnick about allowing Nvidia‘s H200 chips for artificial intelligence to be sold to China in a letter first reported by CNBC. The letter follows Coons questioning Lutnick at a Senate Appropriations subcommittee hearing last week. Lutnick said it was his understanding the U.S. had not sold any H200 to Chinese companies. “We have not sold them any chips as of yet,” Lutnick said in response to a question from Coons at the April 22 hearing. Lutnick’s statement contradicted remarks from Nvidia CEO Jensen Huang, who told reporters in March that Nvidia had gotten approvals from both the US and Chinese government to sell H200 chips to China. “Your statements before the committee appear to contradict Huang’s comments,” Coons said in the letter sent Thursday. Coons, who …

Legal AI startup Legora hits .6B valuation and its battle with Harvey just got hotter

Legal AI startup Legora hits $5.6B valuation and its battle with Harvey just got hotter

Published by skeptic

Nvidia has laid a new brick in its AI empire. NVentures, its corporate VC fund, has backed Legora, reportedly its first legal AI investment. Leveraging AI to help lawyers streamline their work, the Swedish-born legal tech startup is competing with U.S. player Harvey. Alongside Atlassian and other new financial investors, NVentures joined Legora’s cap table as part of a $50 million Series D extension that comes a month after the startup’s $550 million Series D.  In the interval, this Y Combinator alum crossed $100 million in annual recurring revenue (ARR) — a milestone that contributed to its new $5.6 billion post-money valuation.  This brings Legora’s valuation just a tad closer to Harvey’s, which reached $11 billion last month when Sequoia tripled down on its investment. Andreessen Horowitz, Coatue, Conviction Partners, Elad Gil, Matt Miller’s Evantic, and Kleiner Perkins also participated in that round. Legora, too, is backed by high-profile VCs, but it puts even more emphasis on the big names it secured as clients, such as Bird & Bird, Cleary Gottlieb, and Linklaters. According to …

Google doesn’t pay the Nvidia tax. Its new TPUs explain why.

Google doesn’t pay the Nvidia tax. Its new TPUs explain why.

Published by skeptic

Every frontier AI lab right now is rationing two things: electricity and compute. Most of them buy their compute for model training from the same supplier, at the steep gross margins that have turned Nvidia into one of the most valuable companies in the world. Google does not. On Tuesday night, inside a private gathering at F1 Plaza in Las Vegas, Google previewed its eighth-generation Tensor Processing Units. The pitch: two custom silicon designs shipping later this year, each purpose-built for a different half of the modern AI workload. TPU 8t targets training for frontier models, and TPU 8i targets the low-latency, memory-hungry world of agentic inference and real-time sampling. Amin Vahdat, Google’s SVP and chief technologist for AI and infrastructure (pictured above left), used his time onstage to make a point that matters more to enterprise buyers than any individual spec: Google designs every layer of its AI stack end-to-end, and that vertical integration is starting to show up in cost-per-token economics that Google says its rivals cannot match. “One chip a year wasn’t …

Nvidia CEO Says AI Will Be a Permanent Micromanaging Boss Who Never Stops Nagging You

Nvidia CEO Says AI Will Be a Permanent Micromanaging Boss Who Never Stops Nagging You

Published by José Betancourt

Sign up to see the future, today Can’t-miss innovations from the bleeding edge of science and tech As fear over an AI-driven jobs apocalypse continues to simmer, some tech leaders remain adamant that the wide proliferation of AI will lead to more employment opportunities, not fewer. Consider a recent panel at Stanford University, when Nvidia CEO Jensen Huang painted an unusual picture of an AI agent-dominated future. Instead of getting ready to clear their desks, the centibillionaire argued that instead, human workers’ productivity will instead go through the roof — with the minor tradeoff that you’ll be overseen by a nagging AI boss that won’t ever leave you alone. “Your [AI] agents are harassing you, micromanaging you, and you’re busier than ever,” Huang said. “And yet our company is able to do more.” As a result, “we’re gonna create more jobs in the end,” he argued. “There’ll be more people working at the end of this industrial revolution than at the beginning of it.” Huang has previously argued that company leaders are thinking too small …

Nvidia CEO Loses His Cool at Tough Question

Nvidia CEO Loses His Cool at Tough Question

Published by José Betancourt

Sign up to see the future, today Can’t-miss innovations from the bleeding edge of science and tech Look, being CEO of the largest company by market cap in the world isn’t a cakewalk. It takes a tough person not to crack under that kind of pressure — just ask Nvidia CEO Jensen Huang, who blew his stack when asked about China on a recent podcast appearance. During a taping of tech guy Dwarkesh Patel’s podcast spotted by Tom’s Hardware, the Nvidia CEO became agitated when questioned about whether selling advanced AI chips to China poses national security risks to the United States. Playing devil’s advocate, Patel referenced Anthropic’s Claude Mythos model as evidence that giving China access to Nvidia’s high-powered chips could fuel America’s competition in the global tech space. “The premise that — even if we competed in China, that we’re going to lose that market anyways — you’re not talking to somebody who woke up a loser,” Huang said indignantly. “And that loser attitude, that loser premise makes no sense to me.” “You’re …

NPL deploys NVIDIA Ising AI to scale quantum computing

NPL deploys NVIDIA Ising AI to scale quantum computing

Published by skeptic

The UK’s National Physical Laboratory (NPL) has deployed NVIDIA Ising AI to streamline quantum calibration. NPL is introducing NVIDIA-powered artificial intelligence into the measurement and calibration of quantum computers, in a step designed to support the technology’s progression from experimental systems to scalable platforms. At the centre of this effort is the integration of NVIDIA Ising tools into NPL’s existing quantum measurement infrastructure. As the UK’s National Metrology Institute, NPL is responsible for establishing reliable, precise measurement standards for emerging technologies. Within its Institute for Quantum Standards and Technology (IQST), researchers are focused on improving the characterisation, calibration, and benchmarking of quantum devices – particularly quantum computers. Automating a bottleneck in quantum calibration A key challenge in quantum computing lies in managing qubits, the fundamental units of quantum information. These systems are highly sensitive, with performance influenced by environmental noise, instability, and device-level imperfections. As quantum processors scale up, the complexity of maintaining stable qubit behaviour increases significantly. NPL’s adoption of NVIDIA Ising technology targets this issue directly. By embedding AI-driven tools into calibration workflows, …