SoftwareAIOpenAI plans to build its own AI chips on TSMC’s forthcoming 1.6 nm A16 process nodeWhen you purchase through links on our site, we may earn an affiliate commission.Here’s how it works.
SoftwareAIOpenAI plans to build its own AI chips on TSMC’s forthcoming 1.6 nm A16 process nodeWhen you purchase through links on our site, we may earn an affiliate commission.Here’s how it works.
When you purchase through links on our site, we may earn an affiliate commission.Here’s how it works.
(Image credit: TSMC)
ChatGPT developer OpenAI has been musing overbuilding its own AI chipsfor some time now but it looks like the project is definitely going ahead, asUnited Daily Newsreports the company is paying TSMC to make the new chips. But rather than using its current N4 or N3 process nodes, OpenAI has booked production slots for the 1.6 nm, so-called A16, process node.
The report from UDN (viaWccftech) doesn’t provide any concrete evidence for this claim but the Taiwanese news agency is usually pretty accurate when it comes to tech forecasts like this. At the moment, OpenAI spendsvast amounts of moneyto run ChatGPT, in part due to the very high cost of Nvidia’s AI servers.
Nvidia’s hardware dominates the industry, with Alphabet, Amazon, Meta, Microsoft, and Tesla spendinghundreds of millions of dollarson itsHopper H100andBlackwellsuperchips. While the cost of designing and developing a competitive AI chip is just as expensive, once you have a working product, the ongoing costs are much lower.
UDN suggests that OpenAI had originally planned to use TSMC’s relatively low-cost N5 process node to manufacture its AI chip but that’s apparently been dropped in favour of a system that’s still in development—A16 will be the successor to N2, which itself isn’t being used to mass produce chips yet.
TSMC states thatA16 is a 1.6 nm nodebut the number itself is fairly meaningless now. It will use the same gate-all-around (GAAFET) nanosheet transistors as N2 but will be the first TSMC node to employbackside power delivery, called Super Power Rail.
But why would OpenAI want to use something that’s still a few years away from being ready for bulk orders? UDN’s report suggests that OpenAI has approached Broadcom and Marvell to handle the development of the AI chips but neither company has much experience with TSMC’s cutting-edge nodes, as far as I know.
One possibility is that the whole project is being done in collaboration with Apple, which usesChatGPT in its own AI system. That’s currently powered via Google’s AI servers but given how much Apply prefers using its own technology these days, I wouldn’t be surprised if it was also looking to develop new AI chips.
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Withmounting lossesand an AI market packed with competitors, OpenAI’s future looks somewhat uncertain, though rumours ofinvestment from Apple and Nvidiamay help turn things around. The regular influx of millions of dollars of funding is certainly helping itmaintain stock value, for example.
Your next machine(Image credit: Future)Best gaming PC: The top pre-built machines.Best gaming laptop: Great devices for mobile gaming.
Your next machine
(Image credit: Future)Best gaming PC: The top pre-built machines.Best gaming laptop: Great devices for mobile gaming.
(Image credit: Future)
Best gaming PC: The top pre-built machines.Best gaming laptop: Great devices for mobile gaming.
Even if it does come to fruition, don’t expect it to make any performance headlines outside of handling GPT, simply because that’s the nature of all ASICs (application specification integrated circuits)—they’re designed to do one job very well but that’s it. OpenAI’s chip might be great for OpenAI but few other companies would be interested.
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