Google的TEP, 专门的AI芯片, 正在扩大规模, 以满足不断增长的需求, 提高效率和业绩。 Google's TPUs, specialized AI chips, are scaling to meet growing demand with improved efficiency and performance.

Google十年前推出的Tensor处理单位(TPUs), 随着该公司扩大AI基础设施规模, Google's Tensor Processing Units (TPUs), introduced a decade ago, are now meeting growing AI demand as the company scales its AI infrastructure. 专为机器学习工作负载设计的TPU已经发展成为有效支持训练和推理任务的工具. Designed specifically for machine learning workloads, TPUs have evolved to support both training and inference tasks efficiently. 最近部署的情况表明,绩效和能源效率有所改善,将贸易点定位为谷歌AI战略的一个关键组成部分。 Recent deployments show improved performance and energy efficiency, positioning TPUs as a key component in Google's AI strategy. Google Cloud和内部服务越来越多地使用芯片,反映出行业向专门的AI硬件的更广泛转变。 The chips are increasingly used across Google Cloud and internal services, reflecting broader industry shifts toward specialized AI hardware.