NEWS HIGHLIGHTS:
Intelยฎ Xeonยฎ processors to continue powering Google Cloud infrastructure across AI, inference and general-purpose workloads
Expanded co-development of custom ASIC-based infrastructure processing units (IPUs) to improve efficiency, utilization and performance at scale
Collaboration reinforces the central role of CPUs and IPUs in modern, heterogeneous AI systems
SANTA CLARA, Calif., April 09, 2026–(BUSINESS WIRE)–Intel Corporation (NASDAQ: INTC) and Google today announced a multiyear collaboration to advance the next generation of AI and cloud infrastructure, reinforcing the critical role of CPUs and custom infrastructure processing units (IPUs) in scaling modern, heterogeneous AI systems.
As AI adoption accelerates, infrastructure is becoming more complex and heterogeneous, driving increased reliance on CPUs for orchestration, data processing and system-level performance. Through this collaboration, Intel and Google will align across multiple generations of Intelยฎ Xeonยฎ processors to improve performance, energy efficiency and total cost of ownership across Googleโs global infrastructure.
AI doesnโt run on accelerators alone – it runs on systems. And CPUs are at the core of those systems.
Google Cloud continues to deploy Intel Xeon processors across its workload-optimized instances, including the latest Intel Xeon 6 processors powering C4 and N4 instances. These platforms support a broad range of workloadsโfrom large-scale AI training coordination to latency-sensitive inference and general-purpose computing.
In parallel, Intel and Google are expanding their co-development of custom ASIC-based IPUs. These programmable accelerators offload networking, storage and security functions from host CPUs – improving utilization, increasing efficiency and enabling more predictable performance across hyperscale AI environments.
IPUs are a critical component of modern data center architectures. By handling infrastructure tasks traditionally managed by CPUs, they unlock greater effective compute capacity and allow cloud providers to scale more efficiently without increasing overall system complexity. Together, Xeon CPUs and IPUs form a tightly integrated platform balancing general-purpose compute with purpose-built infrastructure acceleration to deliver more efficient, flexible and scalable AI systems.
Driving Performance and Efficiency at Scale
“AI is reshaping how infrastructure is built and scaled,” said Lip-Bu Tan, CEO of Intel. “Scaling AI requires more than accelerators – it requires balanced systems. CPUs and IPUs are central to delivering the performance, efficiency and flexibility modern AI workloads demand.”