Ricursive Intelligence is betting on AI-designed chips to help solve the compute crisis
Quick Answer
Ricursive Intelligence is leveraging AI to design chips more efficiently, aiming to address a projected 10,000x increase in compute demand over the next five years.
Quick Take
Their approach optimizes entire chips rather than traditional partitioning, enabling rapid custom chip design for diverse applications like AR, VR, and biological computing.
Key Points
- Founders Anna Goldie and Azalia Mirhoseini presented at TechCrunch Disrupt.
- AI can design chips in about a week, enhancing efficiency and customization.
- Ricursive's AI challenges traditional chip layouts, discovering unconventional designs.
- The approach allows for intricate patterns and rapid iteration in chip design.
- AI-designed chips could revolutionize applications in space, AR, and VR.
DeepSignal Analysis
What happened
Ricursive Intelligence is developing AI to design chips more efficiently, aiming to address a projected 10,000x increase in compute demand over the next five years. Their approach optimizes entire chips instead of traditional partitioning, enabling rapid custom chip design for various applications, including AR and VR.
Key evidence
- Founders Anna Goldie and Azalia Mirhoseini claim that AI can automate and improve chip design, potentially addressing the compute crisis.
- Goldie stated that traditional chip design can take six months to two years, while AI could reduce this to about a week, allowing for more diverse chip designs.
- The AI system AlphaChip previously developed by the founders produced unconventional chip layouts, such as a circular arrangement, which outperformed traditional designs.
Why it matters
The anticipated 10,000x increase in compute demand poses a significant challenge for data centers and chip manufacturing. By leveraging AI for chip design, Ricursive Intelligence aims to create more efficient chips that can meet this demand without the need for exponentially more data centers. This could lead to advancements in various fields, including augmented reality and biological computing.
📖 Reader Mode
~3 min readRicursive Intelligence founders Anna Goldie and Azalia Mirhoseini believe more efficient AI chip design could help solve the compute crisis. The founders took the stage at TechCrunch Disrupt on Wednesday to detail how their startup is developing AI that can design chips, learn from each iteration, and improve subsequent designs, all with the goal of automating and accelerating the chip design process.
“There is this understanding that in the next five years we are going to have at least 10,000x more demand for compute, and that’s somewhat potentially conservative,” Goldie said on stage. “So we don’t want to build 10,000 times more data centers. We think that we need to help by making chips that are more efficient, that use the bandwidth in those data centers more efficiently, that use the wafers and fabs more efficiently, because even if we make [data centers] in space or something, I don’t know, you won’t see the sun anymore.”
While some may be scared by the thought of AI designing its own chips, Goldie argues that letting AI handle chip design will allow humans can focus on developing applications and exploring new possibilities that can expand what they can accomplish with computing.
“I think the way everything is shifting is that humans come bring their great ideas and creative thoughts, and execution is handled by AI,” Goldie said. “And this is happening in chip design, software development, and other places. And that’s something that recursive does for chip design.”
The founders say AI is challenging traditional chip design methods by discovering unconventional layouts that can outperform traditional ones. For example, AlphaChip, the AI system the founders previously developed, produced a circular, “donut-shaped” arrangement of chip components that initially surprised engineers but ultimately proved to be successful.
They explained that they are optimizing entire chips rather than following the traditional approach of partitioning them into dozens of smaller blocks. This approach allows AI to create intricate patterns, including wave-like designs, which the pair said they plan to share more about in the future.
The founders also argued that AI-designed chips will make it possible to create all sorts of chips that might not have been possible before.
“If it takes six months or a year or two years to design a new chip, then you really have to be extremely selective about the chips that you design,” Goldie said. “But if you can design a chip in like a week, and then say for manufacturing, you can design custom chips for all sorts of different types of applications in like space and AR, VR, and you biological computing, and it makes sense financially to do that, and we can be more energy efficient.”
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Aisha is a consumer news reporter at TechCrunch. Prior to joining the publication in 2021, she was a telecom reporter at MobileSyrup. Aisha holds an honours bachelor’s degree from University of Toronto and a master’s degree in journalism from Western University.
You can contact or verify outreach from Aisha by emailing [email protected] or via encrypted message at aisha_malik.01 on Signal.
— Originally published at techcrunch.com
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