AMD Appoints AI Industry Veteran Keith Strier to Expand Global AI Capabilities and Engagements

[btarunr]

AMD today announced that Keith Strier has joined the company as senior vice president of global AI markets. Strier has more than 30 years of experience in strategic business and market development, technical engineering and enabling responsible AI deployments. He most recently served as vice president of worldwide AI initiatives at NVIDIA, with responsibility for expanding commercial engagements with foreign governments. At AMD, he will be responsible for expanding the company's AI vision, driving new ecosystem capabilities and accelerating strategic AI engagements globally across public and private sectors. He reports to AMD Executive Vice President and Chief Technology Officer, Mark Papermaster.

"Keith is an excellent addition to our leadership team, bringing deep market expertise and extensive network of relationships that will significantly strengthen our AI engagements globally," said AMD Chair and CEO, Dr. Lisa Su. "His extensive experience and proven track record acting as a trusted advisor to countries and companies uniquely positions him to help accelerate adoption of AMD-powered solutions to meet the growing demand for AI."



"I am honored to join AMD at this pivotal moment," said Strier. "Since contributing to the first national AI plans in 2017, my mission has been to unlock the full potential of AI. My goal is to make the transformative power of AI more accessible and inclusive for people around the world, and I am excited about the clear opportunity to advance this mission at AMD."

Prior to Nvidia, Strier served as the first global AI leader for EY, where he guided Fortune 500 and public sector customers on AI deployments, and was also the first global chief digital officer for Deloitte. He sits on multiple global AI policy and advisory boards, including the U.S. National AI Advisory Committee (NAIAC). He also served as Founding Chair of the AI Compute and Climate Expert Group for the Organization for Economic Co-operation and Development (OECD), where he was instrumental in developing the blueprint for building domestic computing capacity to guide strategy and investment into sovereign AI infrastructure.

Strier earned a bachelor of science with honors from Cornell University and a juris doctorate from the New York University School of Law.

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[Quicks]

AMD is certainly going all out on AI lately. With everyone investing billions with not much return and there don't seem to be any brakes applied on resources, you have to wonder when will this actually pay off.

Read somewhere AI has failed two times before and software development was faster then what AI could keep up with.

Let's see if third time is the charm.

 

[john_]

AMD is certainly going all out on AI lately. With everyone investing billions with not much return and there don't seem to be any brakes applied on resources, you have to wonder when will this actually pay off.

Read somewhere AI has failed two times before and software development was faster then what AI could keep up with.

Let's see if third time is the charm.

With Intel closing the gap in manufacturing nodes, AMD will lose the whatever performance advantages it enjoyed all those years in CPUs, in all markets, retail and servers. Also Intel seems to be moving in the right direction in GPUs at a time that AMD doesn't really spend enough money to improve it's own GPUs. If they haven't had pressure from SONY, I am pretty sure RDNA4 would have been a future project and not something coming soon.

So, AMD's only bet to make enough money the next 3-4 years is AI. As long as they are competitive with Nvidia, H100 at least, they can hope to start attracting more customers to their products by becoming really serious in AI by expanding and enriching their AI platform.

 

[mb194dc]

AMD is certainly going all out on AI lately. With everyone investing billions with not much return and there don't seem to be any brakes applied on resources, you have to wonder when will this actually pay off.

Read somewhere AI has failed two times before and software development was faster then what AI could keep up with.

Let's see if third time is the charm.

LLMs aren't "AI", the main problem is the lack of decent mass market use cases for the technology.

Combined with hallucinations, which is a fundamental flaw with this approach.

What we have so far, is a lot of hype without any questions being asked.

 

[Bwaze]

LLMs aren't "AI", the main problem is the lack of decent mass market use cases for the technology.

Combined with hallucinations, which is a fundamental flaw with this approach.

What we have so far, is a lot of hype without any questions being asked.

There are lots of questions being asked, but the answer has always been "More computing power will solve everything!" The way non-tech has been investing into AI, I don't think they will wait for that level much longer, there will have to be people-replacing results or lots of investment pull out.

 

[jihadjoe]

LLMs aren't "AI", the main problem is the lack of decent mass market use cases for the technology.

Combined with hallucinations, which is a fundamental flaw with this approach.

What we have so far, is a lot of hype without any questions being asked.

News is Jensen just had the single biggest day drop to his net worth at $10B, so questions are definitely being asked. It's certainly not his or Nvidia's fault since they've been executing flawlessly and actually beat all analyst expectations.

That at least means that wall street is starting to doubt whether this nonstop pouring of money into AI will ever see a return.

 

[Wirko]

LLMs aren't "AI"

Of course they arent, who said they are? A small part, yes, but that's it.

the main problem is the lack of decent mass market use cases for the technology.

Maybe a mass market isn't even necessary. There's chip manufacturing, other manufacturing, chip design, bio/agri/medical research, you name it... and although I consider myself a peacemaker, I can't ignore military research and financial industry. Those will squeeze every TOPS available from their AI clusters, often with the intent to extract money from, yes, the mass market.

becoming really serious in AI by expanding and enriching their AI platform.

Which includes software and support. That's probably what you mean, too.
What options does AMD currently have if they want to reuse CUDA? Nvidia banned cross-compiling (the Zluda project) but they are still allowed to reuse/replicate the language/API, is that correct?

 

[Daven]

AMD is certainly going all out on AI lately. With everyone investing billions with not much return and there don't seem to be any brakes applied on resources, you have to wonder when will this actually pay off.

Read somewhere AI has failed two times before and software development was faster then what AI could keep up with.

Let's see if third time is the charm.

I guess you aren’t a fan of quarterly earnings reports. AMD data center revenue is increasing over the last year by over a billion dollars. It is forecast to increase over another billions dollars next year. What exactly isn’t paying off?

Edit: between last quarter and this quarter data center revenue might go up a billion in just 3 months according to AMD guidance.

 

[Minus Infinity]

Headline should read: "AMD ready to further abandon desktop plebs as it wastes vast amounts of money on the looming AI bubble"

 

[Solaris17]

Headline should read: "AMD ready to further abandon desktop plebs as it wastes vast amounts of money on the looming AI bubble"

I dont think any of them care TBH. It's selling GPUs.

 

[Minus Infinity]

I dont think any of them care TBH. It's selling GPUs.

For AI bubble. Nvidia was smacked down yesterday as investors get nervous about looming bursting of the AI bubble. No one is making much money other than hardware suppliers.