2024年5月14日 · Google Cloud TPUs are the cutting-edge of AI acceleration, custom-designed and optimized to empower large-scale artificial intelligence models. Exclusively available through Google Cloud, TPUs deliver unparalleled performance and …

2025年1月30日 · Cloud TPU is a web service that makes TPUs available as scalable computing resources on Google Cloud. TPUs train your models more efficiently using hardware designed for performing large matrix operations often found in machine learning algorithms.

Google Cloud TPU provides scalable, efficient computing resources for AI training and inference.

2017年5月12日 · There’s a common thread that connects Google services such as Google Search, Street View, Google Photos and Google Translate: they all use Google’s Tensor Processing Unit, or TPU, to accelerate their neural network computations behind the scenes.

2023年12月6日 · Leveraging Google’s deep experience to help power the future of AI. Customers like Salesforce and Lightricks are already training and serving large AI models with Google Cloud’s TPU v5p AI Hypercomputer — and already seeing a difference:

2025年2月3日 · Tensor Processing Units (TPUs) are Google's custom-developed application-specific integrated circuits (ASICs) used to accelerate machine learning workloads. Cloud TPUs allow you to access TPUs from Compute Engine, Google Kubernetes Engine and Vertex AI. Learn more about TPUs.

2025年2月3日 · A TPU v4 Pod is composed of 4096 chips interconnected with reconfigurable high-speed links. TPU v4's flexible networking lets you connect the chips in a same-sized Pod slice in multiple ways. When you create a TPU Pod slice, you specify the TPU version and the number of TPU resources you require.

2018年8月30日 · The Tensor Processing Unit (TPU) is a custom ASIC chip—designed from the ground up by Google for machine learning workloads—that powers several of Google's major products including Translate, Photos, Search Assistant and Gmail.

Cloud TPU는 Google Cloud에서 TPU를 확장 가능한 컴퓨팅 리소스로 제공하는 웹 서비스입니다. TPU는 머신러닝 알고리즘에서 자주 쓰이는 대규모 행렬 연산을 수행하도록 설계된 하드웨어를 사용하여 모델을 보다 효율적으로 학습시킵니다.

2017年5月13日 · 本記事では、この Google の TPU の内部で用いられているテクノロジーを掘り下げ、このケタ違いの性能がどのようにして実現されているのか解説します。