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Google and Intel announced an expanded multiyear agreement that will keep Google Cloud on Intel’s Xeon CPUs while accelerating joint development of custom infrastructure processing units (IPUs) designed for AI inference and data‑center workloads. Expanded Multiyear AI Infrastructure Deal Announcement date: 2026-04-09 Partnership originally launched in 2021 Focus on co‑development of ASIC‑based IPUs and continued use of Intel’s Xeon line Technical Scope and Processor Commitments The agreement specifies that Google Cloud will run Intel’s latest Xeon 6 chips for AI, cloud, and inference tasks, extending a decades‑long reliance on Xeon CPUs. Xeon 6 chips are positioned as the flagship CPU for AI workloads, complementing GPU accelerators. Custom IPUs will offload AI‑specific processing from general‑purpose CPUs, improving efficiency. Pricing details were not disclosed by Intel. Strategic Impact on the AI Compute Landscape Industry analysts note a pivot toward CPU‑centric architectures as the global AI boom strains GPU supply chains. By bolstering CPU and IPU capabilities, the partnership aims to deliver balanced systems that can scale AI workloads without relying solely on GPUs. Lip‑Bu Tan, Intel CEO, emphasized that “balanced systems” are essential for modern AI workloads. Recent CPU shortages have prompted rivals like Arm Holdings to launch their own AI‑focused CPUs (Arm AGI). The move may pressure other cloud providers to diversify beyond Nvidia‑centric stacks. Future Outlook for CPU‑Centric AI Architecture With the partnership deepening, both companies are likely to iterate on next‑generation Xeon processors and IPU designs, targeting higher throughput and lower power consumption. Expect further announcements on custom silicon roadmaps and potential joint reference designs for enterprise AI deployments. Short‑term: Expanded Xeon deployment across Google Cloud’s AI services. Mid‑term: Introduction of first‑generation custom IPUs in production workloads. Long‑term: A more heterogeneous compute stack where CPUs, IPUs, and GPUs coexist to meet diverse AI demands.