AMD's CEO has discussed the company's situation with enterprise demand for its server CPUs, and according to Lisa Su, Team Red faces 'unexpected' customer volume.
AMD's Lisa Su Says that the CPU Supply Is Tightening, as Customer Commitments Increase Rapidly
The ratio of CPU: GPU in modern-day AI compute workloads has evolved dramatically over the past few months, mainly since with agentic applications coming in, the role of CPUs has increased signifcantly. We have seen hyperscalers like Meta enter into standalone CPU agreements with infrastructure providers like AMD and NVIDIA, indicating that compute is diversifying away from GPUs. While talking at the Morgan Stanley Conference, AMD's CEO Lisa Su revealed that the company sees server CPU demand, which is 'unexpected', and that the demand will continue to grow.
We’re seeing actually, as much as, you know, I’m very, very excited about the GPU portion of the business, I mean, the CPU portion of the business has actually far exceeded my expectations in terms of demand. I was pretty bullish to begin with, right?
If you talk to our top customers, they’re like, "Wow, you know, Lisa, the, like, the demand for CPU compute sitting along AI was perhaps something that was under-forecasted." We are in the process of catching up.
- AMD's CEO Lisa Su
When asked about whether AMD could cater to the enterprise demand around CPUs, Lisa revealed that there is "supply tightness", but it comes from the fact that customer interest grew suddenly in the past few quarters, which gave little time for the supply chain to adjust itself. Team Red says it is working closely with partners to address existing bottlenecks and expects capacity to expand in the coming year. AMD's CEO is confident that the company's product offerings are well-positioned to address training, inference, and agentic demand.
This isn't just the first time a CPU manufacturer has reported significant demand; Intel also revealed a similar situation, disclosing that it failed to meet hyperscaler commitments because it doesn't have enough production capacity. At the same time, we are seeing NVIDIA entering into Vera-only CPU commitments with infrastructure partners, which indeed underscores the growing importance of server CPUs in AI workloads.
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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