AMDAdvanced Micro Devices, Inc.

“At our Financial Analyst Day in November, we outlined the server CPU market growing at approximately 18% annually over the next 3 to 5 years. Based on the demand signals we are seeing today and the structural increase in CPU compute requirements driven by Agentic AI, we now expect the server CPU TAM to grow at greater than 35% annually, reaching over $120 billion by 2030.”

“A key example is our expanded strategic partnership with Meta to deploy up to 6 gigawatts of AMD Instinct GPUs spanning several product generations. Our agreement includes a custom GPU accelerator based on our MI450 architecture, co-designed to support Meta's next-generation AI workloads.”

“we have strong and increasing confidence in our ability to deliver tens of billions of dollars in annual Data Center AI revenue in 2027 and to exceed our long-term growth target of greater than 80% in the coming years.”

“We see a clear path to exceed our long-term financial targets, including delivering more than $20 in EPS over the strategic time frame.”

“Data Center revenue increased 57% year-over-year to a record $5.8 billion, led by strong demand for our EPYC CPUs and Instinct GPUs.”

“as we approach production, demand for MI450 series GPUs continues to strengthen, with lead customer forecasts now exceeding our initial plans and a growing number of new customers engaging on large-scale deployments, including additional multi-gigawatt opportunities.”

“based on our current visibility, how those forecasts are coming in with all of our customers, we're actually seeing it above our initial plans that we had planned for 2027.”

“Inferencing and Agentic AI are increasing the need for server CPU compute as these workloads require additional CPU processing for orchestration, data movement and parallel execution in addition to serving as the head nodes for GPUs and accelerators. As a result, we are seeing both stronger near-term demand and deeper engagement with customers on long-term capacity planning.”

“In our latest MLPerf results, MI355X delivered strong competitive performance across the full suite with leadership results in multiple categories. We also expanded day 0 support for the leading open models, including the latest Google Gemma 4 family, Qwen, Kimi and others, enabling customers to deploy new models quickly with optimized performance.”

“In Cloud, AI was the primary driver of growth in the quarter as every major cloud provider expanded their EPYC footprint to support a broad range of AI workloads from general purpose compute and data processing to head nodes for accelerators and emerging Agentic applications.”

“in the past, the CPU to GPU ratio was primarily just as a host node in like a 1:4 or 1:8 configuration node, now changing and getting closer to a 1:1 configuration or even -- you can even imagine if you get lots and lots of agents that you could have more CPUs and GPUs.”

“Together with our previously announced OpenAI partnership, these engagements position AMD as a core partner to the world's largest AI infrastructure builders with deep co-engineering relationships and multiyear visibility into large-scale deployments.”

“Shipments are on track to begin in the second half of the year, leveraging our Helios rack-scale architecture, which integrates Instinct GPUs with EPYC Venice CPUs to deliver fully optimized high-performance AI infrastructure.”

“Venice widens our competitive advantage, delivering substantially higher performance per socket and per watt versus competitive x86 offerings and more than 2x throughput per socket versus leading ARM-based AI solutions.”

“the way we're thinking about is it's largely additive to the TAM. So you should think about we need all of the accelerators to run these foundational models, and then as these agents do work, they spawn more CPU tasks.”

“we have very good visibility now into the deployments that are on track for 2027. And when I say good visibility, it's visibility down to which data centers are the GPU is going to be installed in.”

“MI450 will start to ramp in Q3 and then ramp significantly in Q4. That is below corporate average. So that will have different puts and takes in Q4 in the gross margin side.”

“we're very excited about the larger TAM, and we're also very happy with the traction that we're getting. We're clearly feeling like we're seeing significant share gain as we're going into our Turin portfolio that has ramped very nicely.”

“given the tremendous market opportunities we have, we actually are investing aggressively. If you look at the past several quarters, we're really leaning in, in investing, but all the AI investments are driving the revenue momentum.”

“AMD is uniquely positioned to lead in this next phase of AI with leadership products across high-performance service CPUs and AI accelerators and the ability to optimize them together as fully-integrated rack-scale solution.”

“we have significantly accelerated our ROCm development cadence through increased software investments and agent-based coding workflows, enabling faster performance improvements and more rapid deployment of new capabilities.”

“what we've seen is all of the things that we believed in terms of Agentic AI and inferencing and all the CPU compute that is required, is just happening, and it's happening at a much faster pace.”

“We also introduced the Ryzen AI 400 series and Ryzen AI Pro 400 series desktop CPUs, expanding our AI PC offerings across both consumer and commercial systems.”