Committed Use vs On-Demand GPUs: A Decision Framework for AI Teams
How to decide between on-demand, reserved and committed GPU capacity using your baseline usage, forecast confidence and flexibility needs, without guessing.
AI Cloud, GPUs & MLOps
AI Cloud Pricing & Optimization
AI Cloud Pricing & Optimization guides, comparisons and explainers from AICloudlyx.
Forecasting GPU Spend Before a Training Project Starts
A simple method for estimating the cloud cost of a training project from a small pilot run, with the hidden line items and a buffer for reruns.
Cost Attribution for ML Teams: Tagging, Showback and Budgets
A how-to for tagging AI cloud resources, building showback reports and setting budgets so ML teams can see what each project and model really costs.
Reducing AI Cloud Spend Without Slowing Your ML Team Down
Practical ways to cut AI cloud costs through idle-resource control, right-sizing, interruptible capacity and data hygiene, while keeping researchers productive.