Intel, Google Deepen Collaboration to Advance AI Infrastructure
英特尔与谷歌深化合作，共同推进人工智能基础设施发展
Intel, Google Deepen Collaboration to Advance AI Infrastructure
原文链接：intel官网
NEWS HIGHLIGHTS:
英特尔 ® 至强 ® 处理器将持续为谷歌云基础设施提供算力，覆盖人工智能、推理及通用型工作负载
Intel® Xeon® processors to continue powering Google Cloud infrastructure across AI, inference and general-purpose workloads
扩大基于专用 ASIC 的基础设施处理器（IPU）联合开发，提升大规模部署下的效率、资源利用率与性能
Expanded co-development of custom ASIC-based infrastructure processing units (IPUs) to improve efficiency, utilization and performance at scale
此次合作进一步巩固了中央处理器与基础设施处理器在现代化异构人工智能系统中的核心地位
Collaboration reinforces the central role of CPUs and IPUs in modern, heterogeneous AI systems
正文
加利福尼亚州圣克拉拉市，2026 年 4 月 9 日讯 —— 英特尔公司（纳斯达克股票代码：INTC）与谷歌今日宣布达成多年期合作，共同推进下一代人工智能与云计算基础设施技术发展，进一步夯实中央处理器与定制化基础设施处理器（IPU）在现代化异构人工智能系统规模化部署中的关键作用。
SANTA CLARA, Calif., April 9, 2026 – 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.
随着人工智能应用加速普及，基础设施正朝着复杂化、异构化方向发展，使得中央处理器在任务编排、数据处理与系统级性能保障方面的重要性愈发凸显。通过本次合作，英特尔与谷歌将围绕多代英特尔 ® 至强 ® 处理器开展技术协同，优化谷歌全球基础设施的性能、能效与总体拥有成本。
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 Intel® Xeon® processors to improve performance, energy efficiency and total cost of ownership across Google’s global infrastructure.
人工智能并非仅依靠加速芯片运行，而是依托完整系统实现运转，而中央处理器正是这些系统的核心所在。
AI doesn’t run on accelerators alone - it runs on systems. And CPUs are at the core of those systems.
谷歌云持续在其针对各类工作负载优化的实例中部署英特尔至强处理器，其中最新一代英特尔至强 6 处理器已搭载于 C4 与 N4 实例。该系列平台可支撑广泛的工作负载场景，从大规模人工智能训练调度，到低延迟推理任务及通用计算均有覆盖。
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 workloads—from large-scale AI training coordination to latency-sensitive inference and general-purpose computing.
与此同时，英特尔与谷歌正扩大合作，联合研发基于专用 ASIC 的定制化基础设施处理器。这类可编程加速芯片可将网络、存储与安全相关任务从主机中央处理器中卸载，提升超大规模人工智能环境下的资源利用率、运行效率，并保障更稳定的性能表现。
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.
基础设施处理器是现代化数据中心架构的关键组件。通过接管原本由中央处理器承担的基础设施运维任务，其能够释放更多有效算力，助力云服务商在不提升系统整体复杂度的前提下实现更高效的规模化扩展。至强中央处理器与基础设施处理器深度融合，形成紧密协同的平台，在通用计算与专用基础设施加速之间实现平衡，打造更高效、灵活且可规模化扩展的人工智能系统。
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.
推动大规模性能与能效提升
Driving Performance and Efficiency at Scale
英特尔首席执行官陈立武表示：“人工智能正重塑基础设施的构建与扩展方式。人工智能规模化部署不仅需要加速芯片，更需要均衡的系统架构。中央处理器与基础设施处理器是满足现代人工智能工作负载对性能、能效与灵活性需求的核心支撑。”
“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.”
谷歌人工智能基础设施高级副总裁兼首席技术官阿明・瓦赫达特表示：“从训练调度到推理与部署，中央处理器与基础设施加速技术始终是人工智能系统的重要基石。近二十年来，英特尔一直是值得信赖的合作伙伴，其至强系列产品路线图让我们有信心持续满足工作负载日益增长的性能与能效需求。”
“CPUs and infrastructure acceleration remain a cornerstone of AI systems—from training orchestration to inference and deployment,” said Amin Vahdat, SVP & Chief Technologist, AI Infrastructure, Google. “Intel has been a trusted partner for nearly two decades, and their Xeon roadmap gives us confidence that we can continue to meet the growing performance and efficiency demands of our workloads.”
构筑下一代人工智能发展基石
Building the Foundation for the Next Wave of AI
此次深化合作彰显了双方致力于打造人工智能时代开放、可扩展基础设施的共同愿景。英特尔与谷歌将通用计算能力与专用基础设施加速技术相结合，为人工智能系统设计提供更均衡的实现路径，提升资源利用率、降低架构复杂度，实现更高效的规模化部署。
The expanded collaboration reflects a shared commitment to advancing open, scalable infrastructure for the AI era. By combining general-purpose compute with purpose-built infrastructure acceleration, Intel and Google are enabling a more balanced approach to AI system design - one that improves utilization, reduces complexity and scales more efficiently.
双方将共同夯实下一代人工智能驱动型云服务的技术根基，助力全球企业、开发者与用户持续创新。
Together, the companies are strengthening the foundation for the next generation of AI-driven cloud services—supporting continued innovation across enterprises, developers and users worldwide.
