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Every AI News story tagged with both AI Compute and AI Hardware — the two topics side by side, updated as new articles publish.
6 articles
A wafer-scale chip turns an entire silicon wafer into one giant processor instead of cutting it into hundreds of separate chips. Here's how it works, and why it's built for fast AI inference.
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A single AI chat reply uses a fraction of a watt-hour, but billions of daily queries and the data centers behind them add up to a fast-growing power and water bill.
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A GPU is a chip built to do thousands of simple calculations at once. That's exactly what training and running AI models requires, which is why GPUs became the AI industry's most valuable hardware.
Read more →Monzo co-founder Tom Blomfield is taking leave from Y Combinator to join Anthropic's compute team, as the AI lab races to secure the computing power it needs to keep scaling Claude.
Read more →Meta plans to begin manufacturing its in-house "Iris" AI chip in September, aiming to double its data center computing capacity to 14 gigawatts by 2027, an internal memo reviewed by Reuters shows.
Read more →AI compute is the specialized processing power needed to train and run AI models. Demand has far outpaced supply — here is why the shortage persists and what it means for the industry.
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