
Chips: CPU, GPU, TPU, NPU... The guide to not lose your mind
Every day a new chip acronym pops up in tech. CPU, GPU, TPU... It sounds like alphabet soup, but each hides a specific superpower.
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Tuesday, September 15, 2026
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13 results for "processori"

Every day a new chip acronym pops up in tech. CPU, GPU, TPU... It sounds like alphabet soup, but each hides a specific superpower.

It seemed AI's future was all about raw power for training models. But big investors are now shifting gears, pouring $400 million into "inference" chips.

While everyone cheers Micron's skyrocketing AI-driven earnings, there's a detail most traders conveniently overlook: the real price of the intelligence revolution isn't just processors—it's memory chips and the energy bill that comes with them. Stephanie Guild, Robinhood's Chief Investment Officer, just exposed this blind spot in a Bloomberg interview that reveals the hidden cost of the AI boom.

Intel just pulled off the kind of stock market bounce that seemed impossible months ago. The reason: Trump announces the chipmaker will team up with Apple to design and manufacture chips domestically — a move that could actually flip the script on decades of Asian supply chain dominance.
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Nvidia has ruled the AI chip market for years, but absolute dominance is ending. OpenAI, Google, Apple, and SpaceX are building their own processors to break free from single-supplier dependency.

Apple is skipping the M6 generation entirely and jumping straight to M7 chips focused on AI. A strategic move that signals how seriously Cupertino is taking artificial intelligence.
While Nvidia prints money like it's going out of style, someone in Seattle had a radical thought: why not sell them our chips instead? AWS is about to flood the market with its own AI processors, a move that could reshape who actually controls the brains behind AI.
Apollo Global Management and Blackstone just closed a $35 billion check for Anthropic—which means exactly one thing: the race to AI dominance isn't a competition anymore, it's a spending war. While ChatGPT and other models burn through electricity and processors, whoever can afford to build the infrastructure wins.

While everyone obsesses over faster chips, the CEO of DigitalBridge just dropped the thing nobody wanted to hear: AI's real problem isn't computing power—it's electricity. And that romantic vision of data centers floating in space? More Hollywood than reality.

While everyone's arguing about who has the best AI chips, Google just did something louder than words: it ordered Intel to manufacture 3 million specialized processors starting in 2028. Interesting timing, especially from a company that usually builds its own silicon — what's really going on here?

As the processor market heats up, Nvidia and SK Hynix are cementing a partnership set to turbocharge the next generation of chips. Nvidia's CEO Jensen Huang just confirmed that the new Vera central processors will rely on SK Hynix's memory — and trust us, that's not random.