Five-Year GPU Contracts: Why Customers Are Locking In with CoreWeave

Key Highlights

  • The weighted-average contract duration of CoreWeave's committed contracts increased from approximately four years to approximately five years during 2025.
  • Committed contracts accounted for over 98% of CoreWeave's 2025 Revenue.
  • Customer contracts include take-or-pay provisions, meaning customers pay regardless of whether they fully utilize capacity.
  • Enterprise and hyperscale contract structures are largely similar in tenure and Economics.
  • As CoreWeave's Cost of Capital declines, its reliance on customer prepayments decreases, improving flexibility for both parties.

 

One of the more telling data points from CoreWeave's 2025 results is that the average weighted contract length across its customer base increased from approximately four years to approximately five years. That trend is not accidental. It reflects the increasing confidence customers have in the longevity of their AI infrastructure requirements and in CoreWeave's ability to deliver at scale.

Why Customers Sign Long Contracts

The fundamental reason customers sign multi-year GPU infrastructure contracts is Supply Scarcity. NVIDIA GPU supply has been constrained relative to Demand for several years, and customers who do not secure capacity in advance risk being unable to access the infrastructure they need for model Training, inference, and AI application development. By signing take-or-pay contracts with CoreWeave for dedicated capacity, customers receive guaranteed access to specific GPU generations at locked-in pricing.

The Economics of Long-Duration Commitments

From a customer perspective, a five-year take-or-pay contract is a meaningful financial commitment. The weighted-average prepayment across CoreWeave's active contracts was 15% to 25% of total contract value as of 2025. For a $1 billion contract, that is $150 million to $250 million upfront. Customers are willing to make this commitment because the alternative, paying on-demand rates on general-purpose hyperscale clouds, is meaningfully more expensive for sustained, high-utilization AI workloads.

What the Contract Extension Signals

The extension from four-year to five-year average contract duration signals that customers believe AI infrastructure requirements will remain substantial and growing for at least five years. This is a forward-looking bet by some of the most sophisticated technology operators in the world. Microsoft, Meta, OpenAI, and AI native companies are collectively telling CoreWeave through their contract behavior that they expect compute requirements to remain at least as large as today's commitments well into the late 2020s.

Enterprise vs. Hyperscaler Contract Structure

CEO Intrator confirmed that enterprise customer contracts look very similar to hyperscaler contracts in terms of tenure and economic structure. The main variable is Volume. This means CoreWeave does not need to create bespoke contract structures for enterprise customers, reducing commercial complexity and allowing the enterprise sales motion to scale efficiently.

The Prepayment Transition

As CoreWeave's weighted average cost of capital declines, management has indicated that the company's dependency on customer prepayments will decrease. This should improve customer flexibility while maintaining the take-or-pay structure that underpins CoreWeave's revenue predictability.

Disclaimer

Disclaimer: This article is for informational purposes only and does not constitute financial advice. Investing in securities involves risk, including possible loss of principal. Past performance is not indicative of future results. Please conduct your own research or consult a licensed Financial Advisor before making Investment decisions.