AMD Unveils High-End Chips for AI's "Yotta-Scale" Future at CES 2026
At the Consumer Electronics Show (CES) 2026, AMD CEO Lisa Su revealed her vision for the next era of artificial intelligence (AI), touting it as an era of "yotta-scale computing." According to Su, this technological shift is driven by unprecedented growth in both training and inference, with AI adoption projected to reach over five billion active users.
Su pointed out that global AI compute capacity is now on a path from zettaflops to yottaflops within the next five years. A yottaflop represents an exponential increase in computing power, far surpassing anything seen before in the history of computing. Su emphasized that AMD's response lies in building the foundation end-to-end, positioning itself as the architect of the next AI phase rather than a supplier of isolated components.
AMD showcased its Helios rack-scale data center platform designed for trillion-parameter AI training and large-scale inference. This single rack delivers up to three AI exaflops, integrating cutting-edge Instinct MI455X accelerators, EPYC "Venice" CPUs, Pensando networking, and the ROCm software ecosystem. The emphasis is on durability at scale, with systems built to grow alongside AI workloads.
The company also previewed its Instinct MI500 Series, slated for launch in 2027, featuring next-generation CDNA 6 architecture. This roadmap targets a thousandfold increase in AI performance compared to the MI300X GPUs introduced in 2023. Moreover, AMD expanded its on-device AI push with Ryzen AI Max+ platforms, capable of supporting models with up to 128 billion parameters using unified memory.
Su stressed that yotta-scale computing is not limited to data centers but will become a local, everyday experience for billions of users. This vision was further reinforced by Su's discussions with Michael Kratsios, President Trump's science and technology advisor, about the U.S. government's Genesis Mission, a public-private initiative aimed at strengthening national AI leadership.
The keynote concluded with AMD committing $150 million to AI education, aligned with the U.S. A.I. Literacy Pledge. This move signals that sustaining yotta-scale ambition will depend on talent development as much as it does on silicon. As Su put it, "Sustaining yotta-scale ambition will depend as much on talent development as on silicon."
At the Consumer Electronics Show (CES) 2026, AMD CEO Lisa Su revealed her vision for the next era of artificial intelligence (AI), touting it as an era of "yotta-scale computing." According to Su, this technological shift is driven by unprecedented growth in both training and inference, with AI adoption projected to reach over five billion active users.
Su pointed out that global AI compute capacity is now on a path from zettaflops to yottaflops within the next five years. A yottaflop represents an exponential increase in computing power, far surpassing anything seen before in the history of computing. Su emphasized that AMD's response lies in building the foundation end-to-end, positioning itself as the architect of the next AI phase rather than a supplier of isolated components.
AMD showcased its Helios rack-scale data center platform designed for trillion-parameter AI training and large-scale inference. This single rack delivers up to three AI exaflops, integrating cutting-edge Instinct MI455X accelerators, EPYC "Venice" CPUs, Pensando networking, and the ROCm software ecosystem. The emphasis is on durability at scale, with systems built to grow alongside AI workloads.
The company also previewed its Instinct MI500 Series, slated for launch in 2027, featuring next-generation CDNA 6 architecture. This roadmap targets a thousandfold increase in AI performance compared to the MI300X GPUs introduced in 2023. Moreover, AMD expanded its on-device AI push with Ryzen AI Max+ platforms, capable of supporting models with up to 128 billion parameters using unified memory.
Su stressed that yotta-scale computing is not limited to data centers but will become a local, everyday experience for billions of users. This vision was further reinforced by Su's discussions with Michael Kratsios, President Trump's science and technology advisor, about the U.S. government's Genesis Mission, a public-private initiative aimed at strengthening national AI leadership.
The keynote concluded with AMD committing $150 million to AI education, aligned with the U.S. A.I. Literacy Pledge. This move signals that sustaining yotta-scale ambition will depend on talent development as much as it does on silicon. As Su put it, "Sustaining yotta-scale ambition will depend as much on talent development as on silicon."