Lisa Su Shows Off AMD’s High-End Chips Designed for A.I.’s ‘Yotta-Scale’ Future

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AMD CEO Lisa Su Paints a Picture of Yotta-Scale Computing for AI's Future

At the Consumer Electronics Show (CES) 2026, AMD CEO Lisa Su unveiled her vision for the future of artificial intelligence (AI), positioning the company at the forefront of "yotta-scale computing" - a term she described as an era of unprecedented growth in both training and inference. According to Su, AI is no longer just about developing sophisticated models, but about building the computational foundation beneath them.

The AIs' adoption has skyrocketed over the past few years, from around 1 million users to over 1 billion active users. As a result, global AI compute capacity is now on track to reach yottaflops within the next five years - a staggering 10,000 times more computing power than what was available in 2022. Su emphasized that this growth has never been seen before in the history of computing.

However, despite this rapid progress, the industry still lacks the computing power required to support AI's ultimate capabilities. AMD's response is to build an end-to-end foundation for AI computing, positioning the company as an architect rather than just a supplier of isolated components.

At the heart of this strategy is Helios - a rack-scale data center platform designed specifically for trillion-parameter AIs training and large-scale inference. With up to three exaflops per rack, Helios delivers unparalleled performance while focusing on durability at scale. AMD also previewed the Instinct MI500 Series, which promises an astonishing thousandfold increase in AI performance compared to its predecessor.

Su stressed that yotta-scale computing will extend beyond data centers and become a local, everyday experience for billions of users. AMD announced the expansion of its on-device AI push with Ryzen AI Max+ platforms, capable of supporting models with up to 128 billion parameters using unified memory.

Furthermore, Su tied AMD's roadmap to public-sector priorities, including the US government's Genesis Mission - a public-private initiative aimed at strengthening national AI leadership. As part of this effort, AMD-powered supercomputers Lux and Discovery are coming online at Oak Ridge National Laboratory.

The keynote concluded with a $150 million commitment to AI education, aligned with the US AI Literacy Pledge, acknowledging that sustaining yotta-scale ambition will depend on talent development as much as it does on silicon.
 
OMG 🤯 just heard about this yotta-scale computing thingy and I'm so hyped! 🤩 AMD's Lisa Su is like a genius or something for predicting the future of AI so accurately. The fact that we're gonna see 10,000 times more compute power than what was available in 2022 is wild 🔥 and I love how she's positioning AMD as an architect rather than just a supplier. 🤝 The Helios platform sounds insane with up to three exaflops per rack! 💻 And the fact that they're expanding their on-device AI push with Ryzen AI Max+ platforms is gonna make AI more accessible to everyone! 💸
 
"Believe you can and you're halfway there." 🚀💡 I'm hyped for AMD's vision of yotta-scale computing! With AI adoption skyrocketing, we need the right foundation to support its growth. AMD's focus on building an end-to-end solution is exactly what's needed. It's all about creating a platform that's durable and scalable. The future of AI is looking bright, and I'm excited to see how it unfolds. 🤖💻
 
I'm thinking AMD's Lisa Su is on point 🤯! The way she's framing this whole "yotta-scale computing" thing, it's like a whole new world for AI, you know? It's not just about making these fancy models anymore, but building the whole foundation underneath. And with Helios and Instinct MI500 Series, they're talking real performance gains 🚀! But what I'm really excited about is the emphasis on local AI experiences, like Ryzen AI Max+ platforms, where people can use AI in their daily lives. That's the future right there 🌞.
 
I'm like totally stoked about AMD's vision for the future of AI 🤩! This whole 'yotta-scale computing' thing is mind-blowing - we're talking a 10,000 times increase in computing power over just a few years? That's insane! 💥 I mean, it's not surprising that AI adoption has skyrocketed, but to see the industry already on track to reach yottaflops within five years? That's like, whoa 🤯. What's even more impressive is AMD's strategy to build an end-to-end foundation for AI computing, rather than just selling isolated components. They're really positioning themselves as architects of this whole thing 🔧.

I love that they're focusing on durability at scale with Helios and the Instinct MI500 Series, which promises an amazing thousandfold increase in AI performance 🤯. And it's awesome to see AMD expanding its on-device AI push with Ryzen AI Max+ platforms - I'm sure that'll make a huge difference for everyday users. Plus, tying their roadmap to public-sector priorities like the US government's Genesis Mission is a great move 🙌. Sustaining this yotta-scale ambition will definitely depend on talent development, so it's awesome to see AMD committing $150 million to AI education 💸.
 
I'm so hyped about AMD's vision for yotta-scale computing 🤩! It's crazy to think we're already close to reaching 10,000 times more computing power than what was available just a few years ago. I mean, 1 billion active AI users is insane! But what really gets me excited is that AMD is building an end-to-end foundation for AI computing. Like, they're not just stopping at making the chips, but also designing entire data center platforms like Helios 🌆. And with Instinct MI500 Series, they're promising a thousandfold increase in AI performance... that's some serious power! 💥
 
OMG you know what's wild is how fast tech is advancing 🤯 I mean AMD's talking about yotta-scale computing and it's like whoa... but have you ever noticed how coffee shops are always upgrading their espresso machines now? Like, every year there's a new model with more features and better performance. It's crazy! And I'm not even sure if that's related to AI or just tech in general, but idk 🤷‍♂️
 
OMG u guys 😱 AMD CEO Lisa Su is literally painting the most EPIC picture of what's gonna happen in the world of AI! Like seriously 10,000 times more computing power than we had like 2 yrs ago is mind-blowing 🤯 and yotta-scale computing is like the future man 🚀 she's talking about building this massive foundation for AI that'll be like a whole new era 🌟 AMD's got some serious plans with Helios and Instinct MI500 Series, it's gonna be insane 🤯 to think about all those trillion-parameter AIs training in no time 💻 and it's not just data centers, this tech is gonna become a normal part of our lives everyday 🌎 Ryzen AI Max+ platforms are giving me life too! 💖
 
I'm like totally stoked about what AMD CEO Lisa Su just shared at CES 2026 🤩! The idea of yotta-scale computing is mind-blowing - think about all the AI advancements that can happen when we've got that kind of computational power at our fingertips 💻. I mean, it's crazy to think that global AI compute capacity is on track to reach yottaflops in just five years 🤯. And what's even more amazing is that AMD is building an end-to-end foundation for AI computing - they're not just selling chips, they're creating a whole ecosystem for it 💡.

I love that Lisa Su talked about the importance of talent development and education, too 📚. It's all about making sure we've got the right people on board to help us harness this incredible power. And with AMD's commitment to AI education, I'm optimistic about our future - who knows what amazing things we'll achieve? 💥
 
🤩 OMG, can you believe it?! AMD is like, totally on fire right now! 🚀 Lisa Su is a total boss and I love how she's all about building the foundation for AI computing instead of just selling components 🛍️. The Helios platform sounds insane, with up to 3 exaflops per rack 🤯! And that Instinct MI500 Series? 🤫 Thousandfold increase in AI performance is like, WHOA!

I'm so hyped about the expansion of Ryzen AI Max+ platforms and on-device AI push 🚀. We're gonna see AI becoming a local experience for billions of users soon 🌐. The $150 million commitment to AI education is also a major win 🎉. It's like, AMD is all about empowering the next gen of AI researchers and developers 💻.

The yotta-scale computing era is coming and I am HERE. FOR. IT! 🔥 Can't wait to see what other exciting announcements come out of this partnership with Oak Ridge National Laboratory 🤝
 
I'm thinking, what's crazy is we're already hitting 1 billion active users of AI and this thing just keeps growing like a snowball 💥. AMD is stepping up to the plate with Helios and Ryzen AI Max+, I love that they're not just playing catch-up, but are actually building a whole ecosystem around yotta-scale computing 🤖. It's all about laying the foundation for these massive AIs, you know? And I'm stoked they're collaborating with public sectors like Oak Ridge National Lab to push the limits of AI research 💪. We're gonna need a lot more talent in this space if we want to keep up with yotta-scale ambitions 📚, but at least AMD is committed to investing $150 million in AI education 👏
 
🤣 I mean, 1 billion active users and it's still like "can we get this thing working? 🤦‍♂️" But seriously, yotta-scale computing is like the AI version of my aunt's gossip circle - it's getting crazy fast! 🔥 AMD's all about building that foundation beneath the models, like a solid pair of sneakers vs. just slapping on some fancy shoes 🕺. And whoa, 10,000 times more compute power than 2022? That's like me going from making memes to making masterpieces in one week 😂! But for real, it's exciting to see AMD taking the lead on this front and tying it to public-sector priorities - maybe one day AI will be as cool as my cat's hairball collection 🐈💁‍♀️.
 
I'm low-key thinking AMD is trying to make a statement about America's position in the world of tech, you know? Like, they're positioning themselves as the new AI superpower and tying their roadmap to public-sector priorities - that's some serious bipartisan love 🤝. I mean, what's next? Is Lisa Su going to announce some kind of 'AI for All' initiative like Obama did with his "Winning the Future" agenda? It's a bold move, but I think AMD is onto something here...
 
I'm thinkin' AMD's got this whole yotta-scale computing thing down pat 💻🔥. They're not just tryin' to keep up with the AI game, they're actually tryin' to shape it into what it's gonna be in the future 🤖. And I gotta say, a trillion-parameter AIs trainin' on Helios? That's some next-level stuff 🤯. The problem is, are we really thinkin' about the infrastructure that's gonna support this kind of growth? Like, how are these data centers gonna be maintained and scaled in the long run? It's like, we're buildin' a rocket ship without thinkin' about where we're gonna land 😬.
 
OMG, 10,000 times more computing power than what was available in 2022?! 🤯 That's wild! I'm all for AI advancements and AMD seems like a solid player in this space with their Helios platform. But can they deliver? 😬 I mean, we've seen so many tech promises broken before... 💔

I'm also kinda curious about Ryzen AI Max+ platforms supporting models with up to 128 billion parameters using unified memory. Like, how does that even work? 🤔 It sounds like a fancy computer science problem. Anyway, AMD's commitment to AI education is cool, but we'll have to wait and see if it makes a real difference.

It's also interesting that Su tied AMD's roadmap to public-sector priorities. I guess you could say they're playing the long game... 🕰️ Time will tell if this yotta-scale computing era lives up to the hype!
 
🤖 I mean, what's crazy is how fast AI has grown. 1 billion active users just a few years ago? Now we're talking yottaflops in 5 years... it's mind-blowing 💥. And AMD is like "okay, we've got this" with their Helios platform and Ryzen AI Max+. But for real though, what does it all mean? Is this gonna make life easier or just more complicated? I'm still trying to wrap my head around the whole yotta-scale computing thing 🤯.
 
I'm kinda excited about AMD's vision for yotta-scale computing 🤩... I mean, we're talking trillion-parameter AIs here! 🤯 It's like they're painting a picture of what's possible in the future, but at the same time, it makes me wonder if we're ready for that kind of power 💻. I guess it's great that AMD is positioning themselves as architects rather than just suppliers... it shows they're thinking about the bigger picture 🌐.

I'm not sure how this will all play out in practice, but if they can deliver on their promises, it could be huge 🤞. The idea of local, everyday AI experiences sounds like sci-fi right now, but who knows? Maybe we'll be sipping coffee with our smart TVs or something 😂.

The fact that AMD is tied to public-sector priorities and education initiatives is also a good sign... it shows they're not just focused on profit 💸. And hey, $150 million for AI education ain't chump change either 🤑. So, fingers crossed that this yotta-scale computing thing works out! 👍
 
🤔 AMD's CEO Lisa Su is totally on point with this yotta-scale computing thing 🚀. I mean, 10,000 times more compute power than what was available in 2022? That's wild! 💥 And the fact that they're building an end-to-end foundation for AI computing, not just selling isolated components, is a huge deal ⚒️. It's like they're saying, "Hey, we get it, AI needs more power and better performance, so let's make our own hardware to make it happen" 🤝.

And can you believe the US government is getting involved with this Genesis Mission initiative? 💸🔥 Like, a public-private partnership to strengthen national AI leadership? That's some serious commitment 💪. And AMD's on-device AI push with Ryzen AI Max+ platforms? That's the future right there 🌟. I mean, who wouldn't want their computer to be able to handle 128 billion parameter models like it's nothing? 😴

But seriously, this is all about building the foundation for yotta-scale computing. And AMD seems to have a solid plan in place ⛏️. It'll be interesting to see how this all plays out, but for now, I'm just gonna sit back and watch 📺.
 
man i'm so hyped about this yotta-scale computing thing AMD is bringing 💥 like we're on the cusp of something huge here. 1 billion active ai users and 10,000 times more compute power than 2022? that's wild 🤯 and it's not just about the raw numbers, but what's possible with that kind of power... like, imagine being able to train models on your phone or laptop without needing a supercomputer 💻

i love how AMD is positioning itself as an architect instead of just a supplier - that makes so much sense. and helios seems like a game-changer 🤖 i mean, 3 exaflops per rack? that's crazy talk 📚 what really gets me though is the commitment to ai education - $150 million? that's huge 💸 and it's not just about sustaining yotta-scale ambition, but also about developing talent... like, who's going to be able to build all these models? 🤔
 
I'm thinking AMD's getting serious about AI now 🤔... Lisa Su painting this whole picture of a future where computing power is crazy huge and everyone needs it to do cool stuff 💻. But, you know, 10,000 times more computing power than what we had 4 years ago? That's wild 🚀! Still, the industry's kinda lagging behind on what AI needs, right? Like, we're talking trillion-parameter AIs here, and our current hardware can't keep up 🤯. AMD's trying to change that with their new platforms like Helios and Ryzen AI Max+, but it'll be interesting to see if they can deliver on those promises 💸. And, you know, committing $150 million to AI education is a good start, I guess 📚...
 
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