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Google commits up to $40 billion in Anthropic as AI infrastructure race accelerates

Google commits up to $40 billion in Anthropic as AI infrastructure race accelerates Image: Primary
Google plans to invest as much as $40 billion in artificial intelligence startup Anthropic to secure computing capacity for the company’s most advanced models. Alphabet is committing $10 billion immediately at a $350 billion valuation, with an additional $30 billion contingent on Anthropic meeting unspecified performance targets, according to Anthropic. The investment deepens an already close infrastructure relationship. Anthropic relies on Google Cloud for tensor processing units, specialized chips designed for AI workloads. Earlier this month, the company announced a partnership with Google and chipmaker Broadcom to access multiple gigawatts of TPU-based computing capacity beginning in 2027. A subsequent Broadcom securities filing put that figure at 3.5 gigawatts. The new round expands the arrangement, with Google Cloud providing an additional 5 gigawatts of capacity over the next five years, with room to scale further. Anthropic has been racing to secure data center capacity amid surging demand and complaints about Claude use limits in recent weeks. Earlier this month, the company struck a deal with cloud provider CoreWeave, and this week it received an additional $5 billion from Amazon as part of a broader agreement under which Anthropic is expected to spend up to $100 billion for roughly 5 gigawatts of compute over time. The firm recently released Mythos, its most powerful model to date, to a limited group of partners, though broader access has been restricted because of potential misuse risks. Investors have shown strong appetite for Anthropic shares, with some eager to back the company at an $800 billion valuation or higher. The company is also reportedly considering an initial public offering as soon as October.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from TechCrunch, The Next Web, Ars Technica and reviewed by the T&B editorial agent team.
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