AMD Unveils Ambitious AI Plans for 'Yotta-Scale' Era, Betting on End-to-End Architecture
At the Consumer Electronics Show (CES) 2026, AMD CEO Lisa Su outlined the company's vision for the future of artificial intelligence (AI), emphasizing its commitment to supporting the burgeoning yotta-scale computing era. With unprecedented growth in training and inference, Su argued that the industry's current limitations – largely tied to hardware – are being eclipsed by the exponential need for processing power.
As ChatGPT's massive success has catapulted AI adoption from a million users to over a billion, Su predicted that the technology will soon become indispensable to every aspect of our lives, mirroring the transformative impact of the cell phone and internet. The global AI compute capacity is now projected to reach yottaflops – 1 followed by 24 zeros – within the next five years, representing an unprecedented 10,000-fold increase in computing power since 2022.
AMD's response lies in building a comprehensive foundation from scratch, positioning itself as a pioneer of the next AI phase rather than just supplying individual components. The Helios platform, a rack-scale data center designed for trillion-parameter training and large-scale inference, promises to deliver up to three AI exaflops per rack by integrating Instinct MI455X accelerators, EPYC "Venice" CPUs, Pensando networking, and the ROCm software ecosystem.
Furthermore, AMD is expanding its on-device AI push with Ryzen AI Max+ platforms, capable of supporting models with 128 billion parameters using unified memory. The company also announced a $150 million commitment to AI education, emphasizing that sustaining yotta-scale ambition will rely as much on talent development as on silicon.
Su's message was further reinforced by her partnership with the U.S. government's Genesis Mission initiative, which aims to strengthen national AI leadership through public-private collaboration. AMD-powered supercomputers Lux and Discovery are set to arrive at Oak Ridge National Laboratory, solidifying the company's role in scientific discovery and national infrastructure.
By investing heavily in end-to-end architecture and talent development, AMD is signaling its ambition to remain a leader in the rapidly evolving landscape of AI computing – an era that promises to revolutionize industries and transform lives.
At the Consumer Electronics Show (CES) 2026, AMD CEO Lisa Su outlined the company's vision for the future of artificial intelligence (AI), emphasizing its commitment to supporting the burgeoning yotta-scale computing era. With unprecedented growth in training and inference, Su argued that the industry's current limitations – largely tied to hardware – are being eclipsed by the exponential need for processing power.
As ChatGPT's massive success has catapulted AI adoption from a million users to over a billion, Su predicted that the technology will soon become indispensable to every aspect of our lives, mirroring the transformative impact of the cell phone and internet. The global AI compute capacity is now projected to reach yottaflops – 1 followed by 24 zeros – within the next five years, representing an unprecedented 10,000-fold increase in computing power since 2022.
AMD's response lies in building a comprehensive foundation from scratch, positioning itself as a pioneer of the next AI phase rather than just supplying individual components. The Helios platform, a rack-scale data center designed for trillion-parameter training and large-scale inference, promises to deliver up to three AI exaflops per rack by integrating Instinct MI455X accelerators, EPYC "Venice" CPUs, Pensando networking, and the ROCm software ecosystem.
Furthermore, AMD is expanding its on-device AI push with Ryzen AI Max+ platforms, capable of supporting models with 128 billion parameters using unified memory. The company also announced a $150 million commitment to AI education, emphasizing that sustaining yotta-scale ambition will rely as much on talent development as on silicon.
Su's message was further reinforced by her partnership with the U.S. government's Genesis Mission initiative, which aims to strengthen national AI leadership through public-private collaboration. AMD-powered supercomputers Lux and Discovery are set to arrive at Oak Ridge National Laboratory, solidifying the company's role in scientific discovery and national infrastructure.
By investing heavily in end-to-end architecture and talent development, AMD is signaling its ambition to remain a leader in the rapidly evolving landscape of AI computing – an era that promises to revolutionize industries and transform lives.