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Meta builds world's largest AI superclusters for the future
Meta builds world's largest AI superclusters for the future

Fox News

time21-07-2025

  • Business
  • Fox News

Meta builds world's largest AI superclusters for the future

What happens when one of the world's richest companies decides to go all-in on artificial intelligence? If you're Meta Platforms CEO Mark Zuckerberg, it means launching superclusters so large they could rival the footprint of Manhattan. Recently, Zuckerberg unveiled plans to invest "hundreds of billions of dollars" into next-generation AI infrastructure, including some of the largest compute clusters the world has ever seen. Meta's first supercluster, called Prometheus, is slated to go live in 2026. But that's just the beginning. Another cluster, Hyperion, is being designed to scale up to a mind-blowing 5 gigawatts of compute power over the next few years. "We're building multiple titan clusters," Zuckerberg said in a Facebook post. "Just one of these covers a significant part of the footprint of Manhattan." Sign up for my FREE CyberGuy ReportGet my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox. Plus, you'll get instant access to my Ultimate Scam Survival Guide - free when you join my The answer is simple: compute power is now the most valuable resource in AI development. As generative AI, robotics and large language models become more sophisticated, they demand exponentially more data and processing capacity. Meta's planned superclusters, beginning with Prometheus, will be capable of training ultra-large AI models faster and more efficiently than ever before. According to industry publication SemiAnalysis, Meta could become the first AI company to launch a supercluster exceeding one gigawatt of compute power. That's a serious leap and a direct shot at competitors like OpenAI, Google DeepMind and Anthropic. To supercharge this effort, Meta recently launched Meta Superintelligence Labs, a new elite division focused entirely on next-gen AI development. The lab is being led by Alexandr Wang, former CEO of Scale AI, and Nat Friedman, ex-GitHub chief. In a major signal of intent, Meta invested $14.3 billion in Scale AI and has reportedly poached top talent from Apple, OpenAI and Anthropic to join the effort. "I'm focused on building the most elite and talent-dense team in the industry," Zuckerberg said. He's putting his money where his mouth is, literally. Meta is offering some AI recruits up to $100 million in compensation as it rushes to assemble a dream team of AI researchers and engineers. It's no secret that Meta has struggled to keep pace with the AI breakthroughs happening at rival labs. The company's Llama 4 large language models received a lukewarm reception earlier this year. Now, Meta is retooling. The investment in infrastructure, talent, and research is Zuckerberg's way of leveling the playing field-and possibly pulling ahead. In April, Meta increased its 2025 capital expenditures to $64-72 billion, a massive chunk of which will go toward AI development. These numbers aren't just headline-grabbing, they're a clear signal that Meta is done playing catch-up. You might be wondering how Meta's massive investment in AI superclusters actually affects your life. As Meta builds out these enormous compute clusters, the AI systems they train will become faster, smarter and more deeply integrated into the apps and services you already use. Everything from your Instagram feed to your Facebook search results will be powered by increasingly intelligent algorithms. Virtual assistants will respond more naturally, recommendations will become eerily accurate, and features in Meta's AR and VR platforms, like Meta Quest, will get significantly more advanced. Even the ads you see will be more personalized, based on AI's growing ability to predict what you might want before you even search for it. In short, while you might not see these superclusters, you'll definitely feel their impact, every time you scroll, swipe, tap or speak to an AI-powered device. Meta isn't just investing in AI. It's reshaping the future of it. With billions earmarked for superclusters, an elite team of researchers and cutting-edge infrastructure, the company is placing one of the largest tech bets in history. If it succeeds, Meta could lead the next era of AI. If it fails, it will have spent unprecedented sums chasing a dream that others already control. Is Meta building the future of AI or just trying to buy its way back into the race? Let us know by writing us at Sign up for my FREE CyberGuy ReportGet my best tech tips, urgent security alerts, and exclusive deals delivered straight to your inbox. Plus, you'll get instant access to my Ultimate Scam Survival Guide - free when you join my Copyright 2025 All rights reserved.

Priscilla Chan's recruiting pitch? We can't pay as well as tech companies, but we've got GPUs
Priscilla Chan's recruiting pitch? We can't pay as well as tech companies, but we've got GPUs

Yahoo

time21-07-2025

  • Business
  • Yahoo

Priscilla Chan's recruiting pitch? We can't pay as well as tech companies, but we've got GPUs

Mark Zuckerberg's Meta is betting on GPUs and compute power to help attract top talent. His philanthropic organization, the Chan Zuckerberg Initiative, is doing the same. His wife, Priscilla Chan, talked about CZI's recruitment efforts on a recent podcast episode. Compute power is a big draw for top talent, but not just in the world of AI. Priscilla Chan, Mark Zuckerberg's wife and the cofounder of the couple's philanthropic organization, the Chan Zuckerberg Initiative, spoke about the appeal of massive GPU clusters for biology researchers during a recent episode of Ashlee Vance's "Core Memory" podcast. "The other thing researchers really care about is access to GPUs," she said. "You're not going to make the most of someone if you don't actually have the GPUs for them to work from." Chan said, "We have that at CZI," adding that the organization has roughly 1,000 GPUs in its cluster, with plans to keep growing. In short, Chan said the pitch is: "Come work with us because we're going to have the computing power to support the research that you want to do." Another important factor is compensation, which she said is "obviously important," though she added that "we cannot compete with tech companies on this." CZI has in recent years narrowed its mission to focus on its "next phase" with a "bolder, clearer identity as a science-first philanthropy." The change marks a strategic shift, as the organization previously also supported education and other causes. "While CZI remains committed to our work in education and our local communities, we recognize that science is where our biggest investments and bets have been and will be made moving forward," Chan, a pediatrician by training, wrote in a memo to staff last year. Zuckerberg made a similar point about the importance of GPUs in recruiting on a recent episode of The Information's TITV show. Meta is spending billions to build an AI division it calls Superintelligence Labs. "Historically, when I was recruiting people to different parts of the company, people are like, 'Okay, what's my scope going to be?'" the Meta CEO said. "Here, people say, 'I want the fewest number of people reporting to me and the most GPUs.'" Meta, of course, has significantly more GPUs than CZI. Zuckerberg has said the company will have 1.3 million GPUs for AI by the end of 2025. "Having basically the most compute per researcher is definitely a strategic advantage, not just for doing the work but for attracting the best people," he said. Read the original article on Business Insider Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Priscilla Chan's recruiting pitch? We can't pay as well as tech companies, but we've got GPUs
Priscilla Chan's recruiting pitch? We can't pay as well as tech companies, but we've got GPUs

Yahoo

time20-07-2025

  • Business
  • Yahoo

Priscilla Chan's recruiting pitch? We can't pay as well as tech companies, but we've got GPUs

Mark Zuckerberg's Meta is betting on GPUs and compute power to help attract top talent. His philanthropic organization, the Chan Zuckerberg Initiative, is doing the same. His wife, Priscilla Chan, talked about CZI's recruitment efforts on a recent podcast episode. Compute power is a big draw for top talent, but not just in the world of AI. Priscilla Chan, Mark Zuckerberg's wife and the cofounder of the couple's philanthropic organization, the Chan Zuckerberg Initiative, spoke about the appeal of massive GPU clusters for biology researchers during a recent episode of Ashlee Vance's "Core Memory" podcast. "The other thing researchers really care about is access to GPUs," she said. "You're not going to make the most of someone if you don't actually have the GPUs for them to work from." Chan said, "We have that at CZI," adding that the organization has roughly 1,000 GPUs in its cluster, with plans to keep growing. In short, Chan said the pitch is: "Come work with us because we're going to have the computing power to support the research that you want to do." Another important factor is compensation, which she said is "obviously important," though she added that "we cannot compete with tech companies on this." CZI has in recent years narrowed its mission to focus on its "next phase" with a "bolder, clearer identity as a science-first philanthropy." The change marks a strategic shift, as the organization previously also supported education and other causes. "While CZI remains committed to our work in education and our local communities, we recognize that science is where our biggest investments and bets have been and will be made moving forward," Chan, a pediatrician by training, wrote in a memo to staff last year. Zuckerberg made a similar point about the importance of GPUs in recruiting on a recent episode of The Information's TITV show. Meta is spending billions to build an AI division it calls Superintelligence Labs. "Historically, when I was recruiting people to different parts of the company, people are like, 'Okay, what's my scope going to be?'" the Meta CEO said. "Here, people say, 'I want the fewest number of people reporting to me and the most GPUs.'" Meta, of course, has significantly more GPUs than CZI. Zuckerberg has said the company will have 1.3 million GPUs for AI by the end of 2025. "Having basically the most compute per researcher is definitely a strategic advantage, not just for doing the work but for attracting the best people," he said. Read the original article on Business Insider Sign in to access your portfolio

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