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AI FinOps
The practice of managing and optimizing AI and LLM costs through financial governance, budgeting, and usage analytics.
TL;DR
- —The practice of managing and optimizing AI and LLM costs through financial governance, budgeting, and usage analytics.
- —Understanding AI FinOps is critical for effective AI for companies.
- —Remova helps companies implement this technology safely.
In Depth
AI FinOps applies financial operations principles to AI spending. It includes setting department-level budgets, tracking per-query costs across multiple AI providers, normalizing costs through universal credit systems, and providing dashboards for cost analysis and optimization. As enterprise AI spending grows, FinOps becomes critical for sustainable adoption.
Related Terms
Credit System
A universal currency that normalizes AI costs across multiple providers into a single internal unit.
Inference Cost
The computational cost of running a query through an AI model, typically measured per token.
Token
The basic unit of text processing in LLMs — typically a word, subword, or character that models use for input and output.
AI Budget
A defined spending limit for AI usage, typically allocated per department, team, or individual user.
Glossary FAQs
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