aibig.org

For operators planning the cost, reliability and oversight of larger AI workloads.

Explore focused topics and check consequential details against original sources.

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Start with the question you need to check

A focused way to check sources, conditions and next steps for capacity planning.

A focused way to check sources, conditions and next steps for cost drivers.

A focused way to check sources, conditions and next steps for operational checks.

How to use this site

Each section explains its scope. For costs, eligibility or deadlines, use the latest material from the responsible organisation.

Guides

How Can Model and Data Changes Be Audited in Production?A production audit links model and data changes to release records, system and component monitoring, and retained evidence for detection, response, and post-incident analysis.
How Can Teams Account for Peak and Off-Peak Usage in AI Budgets?Explains how teams can budget for variable AI demand by accounting for higher-throughput cost pressure and scaling idle compute down or shutting it down to reduce waste.
How Can Teams Audit Unexpected AI Spend?Teams can audit unexpected AI spend by reconciling token counts with final billed amounts and reviewing platform, infrastructure, and workload records.
How Can Teams Diagnose a Bottleneck Across the AI Service Stack?Teams can localize an AI bottleneck by checking platform, infrastructure, workload, and production component behavior, then validating the diagnosis against their own telemetry.
How Can Teams Separate Reliability, Capacity, and Cost Signals During an Incident?A practical incident guide for separating reliability, capacity, and cost signals across platform, infrastructure, and workload layers, including the meaning of a 429 response.
How Can Teams Test Recovery Before a Production AI Failure?This guide explains how teams can test recovery from transient AI workload errors with retries and circuit breakers, following guidance to test AI systems before deployment and regularly in operation.

The first guides are being prepared. No articles are published yet.