The AI Data Center Crisis: Why Power Will Decide the Next Tech Superpower
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YouTubeRonald van Loon
The AI Data Center Crisis: Why Power Will Decide the Next Tech Superpower
AI is growing faster than our infrastructure can handle. By 2030, AI will drive 50% of global data center workloads, but power shortages, 1MW racks, and grid limitations are pushing companies toward microgrids and local generation. Hyperscalers can’t deliver GPUs fast enough, and most organizations still fail due to bad prompts, weak use ...
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These are the SQL questions that I practiced to pass technical rounds for data science interviews at both meta and Netflix. While the questions here and in the interviews were not technically challenging, they do test your attention to detail and your thought process. Be sure to talk through your work as you code! #datascience #dataanalyst #sql #codinginterview #techinterview
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Dumb on Instagram: "Storage problems aren’t just frustrating — they actually reveal how our devices organize and manage data. Computers, phones, and cloud services all divide memory into blocks, and when those blocks fill up, the system slows down or refuses new data. Even deleting files doesn’t always free space efficiently because of temporary caches and hidden system files. The wild part? Studies in tech psychology show that people often overestimate free space or forget about old downloads,
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An AI data center is being advanced in Saline, Michigan, and DTE provided only a heavily redacted contract with the most important parts hidden. If data centers are “good for Michigan” (debatable!) then why can’t we have transparency? #michigan #saline #datacenter #fupシ
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