Infrastructure & Deployment

TPU (Tensor Processing Unit)

Google's custom chip designed specifically for AI workloads.

Definition

Google developed tensor processing units as custom chips optimised for the specific mathematical operations that dominate AI training and inference. TPUs are available through Google Cloud and are used to train and serve Google's own AI models. For businesses using Google Cloud AI services, TPU infrastructure underpins the performance and cost structure of those services. Other companies are developing custom AI silicon, reflecting the strategic importance of AI-specific hardware.

Related Terms

GPU (Graphics Processing Unit)

The specialised chip used to train and run AI models at speed.

Inference

The process of a trained AI model actually running and producing outputs — as opposed to being trained.

Cloud AI

AI models and services accessed over the internet via a provider's infrastructure.

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Disclaimer

This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.

Document reference: ISO_webpage_knowledge-base_glossary_v1

Last modified: 29 March 2026

Knowledge Base·Infrastructure & Deployment·TPU (Tensor Processing Unit)