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January 06.2026
2 Minutes Read

Understanding the YottaScale Era: Why AI Needs 10 Yottaflops of Compute

Confident woman presents chip for 10 yottaflops AI, blue jacket.


The Dawn of the YottaScale Era: What Does 10 Yottaflops Mean for AI?

As AI technology rapidly evolves, demands for computational power are soaring. At CES 2026, AMD CEO Lisa Su boldly predicted that the world would soon require more than 10 yottaflops of compute power to support the growth of AI—an unprecedented leap in computing capability. To put this in perspective, 1 yottaflop represents a staggering one septillion calculations per second, which is about 10,000 times the computational power available just a few years ago.

Understanding Yottaflops: A New Unit of Measurement

Many might wonder: what exactly is a yottaflop? In computing, a flop (floating-point operations per second) measures how efficiently a processor can perform calculations. A yottaflop, equating to a one followed by 24 zeros, indicates the need for machines that can execute complex calculations at unprecedented scales—something currently unattainable. For context, Su highlighted that AI compute capacity stood at around one zettaflop in 2022. This massive jump to 10 yottaflops showcases not just a difficulty in measurement but a leap into a new realm of technology.

The Challenges and Opportunities Ahead

However, achieving this level of computational power presents significant challenges. Su pointed out that the current strain on the US power grid could become a bottleneck in scaling AI capabilities. As AI increasingly penetrates all sectors—from health care to manufacturing—ensuring sustainable energy systems to support these developments will be critical.

Future of AI: Integration and Innovation

In her keynote, Su didn't just talk about the challenges but also introduced AMD's new initiatives to meet them, including the launch of cutting-edge AI chips. The company aims to create integrated systems combining CPUs, GPUs, and networking resources, allowing them to work harmoniously to maximize AI infrastructure performance. This approach represents an important corporate AI strategy, emphasizing collaboration over competition among tech leaders.

The Implications for Startups and Investors

For startup founders and investors, Su's projections underscore the immense potential that lies within AI technologies. Companies that adapt quickly by investing in enhanced AI capabilities and infrastructure could secure a competitive edge in this emerging unicorn landscape. With major players like OpenAI and tech giants such as Google, Amazon, and Microsoft leading the charge, those not innovating risk being left behind.

As the world embraces the YottaScale era, continuous adaptation and investment in AI technologies will be essential for businesses aiming to thrive in this exciting new landscape.


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