“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.”

In context

“r Data Center AI business. Revenue grew by a significant double-digit percentage year-over-year as adoption of Instinct accelerates across cloud, enterprise, sovereign and supercomputing customers. We're seeing strong momentum as customers move from pilots to large-scale production deployments, particularly in inference where our leadership memory capacity and bandwidth are key advantages. This momentum is driving deeper, long-term customer engagements, including large-scale multi-generation deployments. 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. 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. 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. More broadly, Instinct adoption continues to expand across AI native and enterprise customers for both training and inference workloads. Existing partners are expanding Instinct across a broader set of workloads, while a growing number of new partners are deploying production AI workloads on Instinct, highlighting the maturity of our hardware and software stack. On the software front, we continue to make strong progress with ROCm, improving performance, scalability and enabling customers to reach production faster. In our latest MLPerf resul”