Infrastructure & Chips · AI News Briefing

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2026-10-28 AI Times

Wall Street lines up $63 billion to finance Anthropic's AI chips

Bank of America, Citigroup, Morgan Stanley and Blackstone have arranged $63 billion (about 83 trillion won) in financing for Anthropic's AI chips, AI Times reports. A special purpose vehicle buys Broadcom's AI accelerators and networking equipment and leases them to Anthropic, which therefore does not pay for the hardware up front. Senior secured loans are about $43.5 billion, roughly 69% of the total, and Broadcom provides a residual value guarantee against the equipment losing value.

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2026-10-27 Wired AI

Why Anthropic’s IPO Prospectus Is Missing So Many Key Figures

Anthropic's IPO prospectus (an S-1) leaves figures such as third-quarter revenue and total compute lease commitments blank as "$_____." The blanks cluster around results for the quarter that ended September 30 and around data center lease agreements. Adding up the commitments the filing does state, Anthropic would owe at least about $808 billion if it follows through on all of them. That breaks down into about $417 billion of leases started or amended since December 31, 2025, another $245 billion added since June 30, $125 billion to $150 billion of expansions not yet finalized, and $21 billion of short-term agreements.

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2026-10-27 The Verge AI

Anthropic is burning gas to feed the AI boom

Anthropic's IPO filing says some of its planned data centers rely on electricity from on-site natural gas turbines. The same filing warns that rising global temperatures will push up the cost of electricity and the water used to cool servers. It acknowledges that competition from hyperscalers for gas and pipeline capacity could drive up gas prices, and that failing to secure supply could force it to delay or abandon data center projects. Anthropic announced a $50 billion plan last year to expand data centers in Texas and New York.

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2026-10-27 TechCrunch AI

SpaceX locks in $40B GPU financing deal with Apollo

SpaceX disclosed in a regulatory filing on Monday that it has reached a binding commitment for roughly $40 billion in financing for AI chips and data center equipment. An entity managed by the private equity firm Apollo Global Management will buy the chips and servers and lease them to SpaceX for about five to five and a quarter years. The deal is expected to close by year-end, with leases starting in the first half of 2027 as each tranche is delivered. SpaceX's AI segment, which includes the Grok chatbot, the Cursor coding tool, and cloud compute, brought in $7.6 billion of the company's $14.6 billion third-quarter revenue, more than Starlink and launches combined.

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2026-10-26 Wired AI

What the US Movement Against Data Centers Can Learn From Abroad

Paris Marx, a longtime Big Tech critic who has tracked data centers for years, told Wired that the US backlash is repeating things other countries have already lived through. In Ireland, he said, the grid operator warned it had no capacity left, Dublin passed a moratorium in 2021, and the industry turned to building its own gas power plants. In The Dalles, Oregon, Google tried to keep its water use secret through the city council, and the numbers showed it was using 29% of the community's water once they came out. Marx, whose new book is "Hyperscale," believes we are in an AI bubble and expects the gas plants to hunt for new customers if it bursts.

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2026-10-25 Wired AI

The PHP Meltdown Shows How AI Makes Bugs More Exploitable

Within hours of the PHP2Shell vulnerabilities in the PHP web scripting language being published, Cloudflare saw millions of exploitation attempts. Some of the underlying flaws had been known since 2024 but were left unfixed because they were judged too complex for a human attacker to exploit. Researchers at security firm Calif first showed in early August that they could be exploited, using AI tools together with deep PHP expertise. The PHP Foundation says it has seen no successful exploitation, and many circulating exploits appear not to work.

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2026-10-22 The Verge AI

Meta to create a new class of shares to fund AI push

Meta said in its third-quarter earnings report that it will issue a new class of shares to fund AI initiatives, acquisitions, and employee compensation. The shares are non-voting and will begin trading in 2027. CFO Susan Li said the scale of investment needed to compete and expand infrastructure is significant and that the new class will expand Meta's funding tools and flexibility. Meta now expects capital expenditures of $135 billion to $145 billion this year, up from the earlier $130 billion to $145 billion range.

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2026-10-22 Wired AI

Jensen Huang’s Vision for Europe Runs on Plug-In Data Centers

Nvidia CEO Jensen Huang unveiled DSX Pod, a plug-and-play modular AI data center, at Nvidia's GTC in Berlin on Wednesday. It arrives preassembled in a large metal container packed with Nvidia's latest Vera Rubin compute racks and can be brought online in 14 days instead of the months or years a conventional build takes. Nvidia says that cuts the time compute sits idle. In a 90-minute talk to 4,000 people, Huang also announced a full-stack humanoid robotics platform, a reference robot called Agile One due in the first quarter of next year, and autonomous-driving partnerships with Volkswagen and Mercedes.

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2026-10-21 TechCrunch AI

Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers

Google released TorchTPU on October 20, an open-source project that lets apps built on the AI toolkit PyTorch run on its own AI chips, TPUs. Existing apps can move to TPUs and Google Cloud with a configuration change instead of a rewrite, according to the report. A day earlier Amazon released TorchNeuron, the same idea for its Trainium chip. Google worked directly with Meta, Hugging Face, Inferact (maker of vLLM), and RadixArk (maker of SGLang), and posted a TPU agent suite on GitHub to help developers move apps and fix errors.

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2026-10-20 TechCrunch AI

Amazon is taking its biggest shot at Nvidia yet with new TorchNeuron dev tool

AWS on Monday released TorchNeuron, a developer tool that lets AI apps built with PyTorch run on Amazon’s own AI chip, Trainium, by changing one line of configuration with no code rewrite. Amazon says about 85% of AI apps are written with PyTorch. The AI voice company Deepgram says it processes 70% more audio per dollar at production-grade accuracy after moving to Trainium. AWS pitches handling both training and inference on one chip, and contrasts itself with “neoclouds” such as CoreWeave and Nebius, which it says are tied to Nvidia hardware.

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