Tag: GPUs

Google Is Buying Nuclear Power for 20 Years. That’s a Very Long Bet on AI.
AI Industry • October 13, 2026

Google Is Buying Nuclear Power for 20 Years. That’s a Very Long Bet on AI.

Google does not know what Gemini will look like in 2046. It does not know which chips will train its models, how efficient those chips will become, whether today’s transformer architectures will still dominate artificial intelligence, or even whether people will still describe the technology using the same vocabulary. It is nevertheless buying electricity as […]

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The AI Boom Is Quietly Reopening the Cloud Wars
AI Industry • September 11, 2026

The AI Boom Is Quietly Reopening the Cloud Wars

Artificial intelligence was supposed to reinforce the cloud hierarchy. Instead, it may be starting to destabilize it. For years, the infrastructure market looked increasingly settled. Amazon Web Services established a huge early lead, Microsoft Azure turned enterprise relationships into cloud scale, and Google Cloud built a formidable third platform. Everyone else was fighting for considerably […]

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The Building That Cannot Think Until Someone Gives It Power
AI Industry • September 9, 2026

The Building That Cannot Think Until Someone Gives It Power

A room full of GPUs sits in the dark. Not because the model failed. Not because the chips are late. Not because someone discovered a fatal flaw in the architecture. There is simply not enough power to switch the building on. For most of the AI boom, the industry has talked about compute as if […]

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Your AI Prompt Has a Capital Expenditure Problem
AI Explained • August 29, 2026

Your AI Prompt Has a Capital Expenditure Problem

You type a prompt. A few seconds later, an answer appears. From the user’s side, the transaction feels almost absurdly lightweight: a text box, a handful of tokens, perhaps a monthly subscription. There is no visible factory, no delivery truck and no machine humming on your desk. But generative AI is one of the most […]

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Nvidia Earnings Are Becoming AI’s Quarterly Season Finale
AI Industry • August 17, 2026

Nvidia Earnings Are Becoming AI’s Quarterly Season Finale

Every three months, Wall Street gets its own version of a prestige-TV season finale. The theories pile up. Expectations become absurdly specific. Everyone has a prediction. And then, for a few hours, one company is expected to explain where the entire artificial intelligence story goes next. That company is Nvidia. On August 26, Nvidia is […]

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Meta’s Cloud Pivot Turns AI Costs Into Infinity Stones
AI • July 3, 2026

Meta’s Cloud Pivot Turns AI Costs Into Infinity Stones

The AI race has been sold to investors like a cosmic arms race: whoever collects the most GPUs, data centers, models, and talent gets to snap their fingers and reshape the future. Very Marvel. Very expensive. For Meta, that story has also carried a darker subplot. The company has poured billions into AI infrastructure while […]

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When FAANG Becomes MANGOS, Wall Street Gets a New Boss
Big Tech • June 11, 2026

When FAANG Becomes MANGOS, Wall Street Gets a New Boss

Some market acronyms are useful. Others are just Wall Street cosplay with a Bloomberg terminal. FAANG started as a clean way to talk about the internet giants that ate advertising, e-commerce, mobile, streaming, and attention. Then came GAFAM, because Europe loves regulatory symmetry. Then the Magnificent Seven rode into town like the Avengers after a […]

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Broadcom vs NVIDIA: Who Really Controls AI Infrastructure?
AI Industry • June 8, 2026

Broadcom vs NVIDIA: Who Really Controls AI Infrastructure?

NVIDIA is the face of the AI boom. Broadcom is the plumbing. For the last three years, the market story has been brutally simple: buy NVIDIA, buy the GPUs, build the cluster, train the model, repeat. Hopper, H100, H200, Blackwell, Rubin — every new NVIDIA platform has felt like another brick in the company’s AI […]

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Broadcom Is the Hidden AI Hardware Boss Behind AVGO
AI Industry • June 7, 2026

Broadcom Is the Hidden AI Hardware Boss Behind AVGO

Everyone is watching NVIDIA’s GPUs and Micron’s high-bandwidth memory. Fair enough: those are the shiny weapons in the AI arms race. But inside the data center, raw compute is only half the fight. The harder problem is moving oceans of data between thousands of accelerators without turning the whole system into a very expensive traffic […]

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