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The Economist
The Economist
19 Sep 2024


NextImg:China’s AI firms are cleverly innovating around chip bans
Science & technology | The mother of invention

China’s AI firms are cleverly innovating around chip bans

Tweaks to software blunt the shortage of powerful hardware

TODAY’S TOP artificial-intelligence (AI) models rely on large numbers of cutting-edge processors known as graphics processing units (GPUs). Most Western companies have no trouble acquiring them. Llama 3, the newest model from Meta, a social-media giant, was trained on 16,000 H100 GPUs from Nvidia, an American chipmaker. Meta plans to stockpile 600,000 more before year’s end. XAI, a startup backed by Elon Musk, has built a data centre in Memphis powered by 100,000 H100s. And though OpenAI, the other big model-maker, is tight-lipped about its GPU stash, it had its latest processors hand-delivered by Jensen Huang, Nvidia’s boss, in April.

This article appeared in the Science & technology section of the print edition under the headline “Miniature model-building”

Most electric-car batteries could soon be made by recycling old ones

Mining for raw materials may peak by the mid-2030s

New battery designs could lead to gains in power and capacity

Researchers are looking beyond the cathode


Earth may once have had a planetary ring

It would have collapsed 450m years ago


How bush pigs saved Madagascar’s baobabs

Non-native species are not always harmful

Geothermal energy could outperform nuclear power

Tricks from the oil industry have produced a hot-rocks breakthrough

The world’s first nuclear clock is on the horizon

It would be 1,000 times more accurate than today’s atomic timekeepers