ai capacity planning

An overview of AI capacity forecasting: why it matters for scaling models, data pipelines, and infrastructure; methodologies from time-series demand modeling to scenario planning; key inputs like GPU supply, workload mix, and latency SLOs; pitfalls such as noisy telemetry and overfitting; and a practical roadmap to right-size spend while safeguarding performance and reliability.