The prepaid GPU commitment promises cash certainty while its flexibility weakens the capacity guarantee.
The buyer wants freedom to move workloads, while Finance needs a commitment that still supports margin and capacity planning.
Who you’d be doing this for
“My leadership wants the prepay signed this month, but they keep asking what happens when our training work turns into inference.”
Emma Jansen · Director of Machine Learning Platform
Owns the enterprise AI team's production training and inference roadmap that depends on the reserved GPU commitment.
What is at stake
An $18 million prepay is at risk because the buyer wants workload flexibility that changes the commitment behind it. You must weigh cash certainty and deal speed against margin protection, revenue treatment, and a precedent future buyers will cite.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- prepaid cash vs. enforceable capacity demand
- buyer flexibility vs. contribution margin
- closing speed vs. contract certainty
- one-off exception vs. scalable governance
Why Crusoe
GPU capacity commitments connect enterprise workload plans to cash funding and the economics of a rapidly expanding cloud fleet.
Written with these in mind
Not your kind of problem? 76 more at Crusoe, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.