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No standardized pricing model exists for GPU capacity, and market participants are currently struggling to establish one. The compute market is trading a key infrastructure resource without a shared reference point.
The challenge is specific to GPU pricing. Market participants have not converged on a common framework for what GPU compute should cost, leaving buyers and sellers working from incompatible baselines.
What one party treats as the clearing price, another treats as a ceiling. The absence of a benchmark has real consequences for how deals get done.
Contracted terms for GPU capacity are harder to negotiate without a common model, and run-rate estimates for infrastructure costs carry wider uncertainty.
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