Elon Musk says China’s domestic chip industry may close the raw compute gap with Taiwan within a few years.
In a new post on X, the Tesla and xAI CEO says that while China may lag on efficiency, its output could become competitive sooner than many expect.
“Yeah, I will be surprised if domestic chip production in China is not competitive with Taiwan in raw compute, albeit less power efficient, within three to five years.”
Musk adds that physics itself is beginning to slow the pace of chip miniaturization.
“There are also significant diminishing returns to reducing element size on a chip, and some things, like SRAM (static random access memory), just don’t scale down.”
For decades, chipmakers improved performance by making transistors smaller, which translates to more transistors per chip, faster performance, lower power use per operation and lower cost per unit of compute. Musk appears to be saying that shrinking transistors is now much harder to engineer, more expensive and yielding smaller improvements.
As for memory, shrinking certain structures doesn’t scale proportionally.
Taken together, Musk appears to suggest raw compute parity is more achievable than people think and that future gains in AI will rely more on architecture and algorithms than just smaller manufacturing nodes.
In December, Google DeepMind CEO Demis Hassabis said that while China has very good teams and models, the country has struggled to show fundamental breakthroughs in AI algorithms.
“So I don’t think any of the Chinese models or companies have shown they can innovate on algorithmically something new beyond the state-of-the-art. They’ve been very good at fast-following the current state-of-the-art.”
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