Data Storage
Data storage refers to the infrastructure and associated costs for saving, indexing, and archiving the various types of data generated during inference in AI systems, such as prompts, logs, and multimodal files. It is an important component of AI operating costs.
Core Facts
Timeline (last 90 days)
AI inference costs, data storage, and compliance spending constitute an ongoing financial burden, and when total cost of ownership exceeds expected returns, enterprises will cut budgets.
Data generated during the inference phase includes prompts, intermediate model activations, output content, call logs, audit and compliance records, images and videos uploaded by users, and multimodal files produced by generative models, all of which land in the storage layer
All Facts (2)
AI inference costs, data storage, and compliance spending constitute an ongoing financial burden, and when total cost of ownership exceeds expected returns, enterprises will cut budgets.
65%UnverifiedData generated during the inference phase includes prompts, intermediate model activations, output content, call logs, audit and compliance records, images and videos uploaded by users, and multimodal files produced by generative models, all of which land in the storage layer
50%