AI Savings Calculator
Estimate monthly and annual AI savings across tokens, retries, cache, routing and RAG.
Open calculator →Interactive tools
Run simulations, generate directional savings estimates, diagnose hidden waste, and prepare a stronger AI FinOps audit request before a sales conversation.
Estimate monthly and annual AI savings across tokens, retries, cache, routing and RAG.
Open calculator →Turn workload assumptions into a shareable savings snapshot for internal review.
Generate report →Identify the most likely waste sources across LLM, RAG, retry, cache and GPU systems.
Run diagnostic →Visualize noisy chunk retrieval and safe context reduction without losing trusted facts.
Simulate RAG savings →See how ML Mind chooses the cheapest safe model, not just the cheapest model.
Simulate routing →Expose retry loops before they multiply token spend, latency and provider errors.
Simulate retry control →Map your current access level to the savings controls ML Mind can safely apply.
Choose deployment level →Estimate self-hosted inference waste from idle GPUs, replicas, batching and OOM loops.
Calculate GPU waste →Use ML Mind to identify where AI spend is leaking, which controls are safe at your deployment level, and what evidence your team needs for an audit, pilot or executive review.