How much storage space is required for AI to access company documents?
The storage required varies significantly based on document volume and AI processing needs, typically ranging from 1 GB to over 100 TB. There is no universal fixed amount; feasibility depends entirely on your specific data scale and use case.
Key factors include the total number and size of original documents (Word, PDFs, emails), the format required by the AI system (raw storage vs. processed vectors/embeddings), the chosen AI model's complexity, and retention requirements for processed data. High-resolution images, videos, or complex data structures increase demands substantially, while text-heavy documents generally consume less space initially. Retention policies and indexing strategies also critically impact ongoing storage needs.
Calculate initial estimates by auditing your document repository's total current size and projected growth. Consult your AI vendor or solution architect for specific storage recommendations based on planned features and data types. Factor in substantial growth buffer space and implement ongoing usage monitoring. Accurately budgeting storage requires tailored assessment of your documents and AI goals.
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