Originally published on AI Tech Connect.
Decide the workload before you decide the contract Most GPU procurement conversations start in the wrong place: on a pricing page, arguing about whether a specialist provider at roughly $2.01 per GPU-hour for an H100 PCIe beats a hyperscaler at roughly $12.29 per GPU-hour for an H100 on-demand — both provider list prices as of September 2026. The gap is real. It is also the second question, not the first. The first question is the shape of your demand curve. A commitment is a claim about future usage, and the price list only tells you what that claim is worth. Two teams paying the same published rate can differ by a factor of two in realised cost, purely because one reserved capacity it could keep busy and the other did not. So this guide runs in a fixed order, and the order is the point.…
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