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February 19, 2026Open Access

GPU Economics — Buy, Rent, or Serverless: A Decision Framework for AI Compute Procurement

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Key Points

The aim is to evaluate various procurement models for AI compute resources, focusing on cost-effectiveness.
Analyzed different models of GPU procurement including purchase, rental, and serverless options.
Developed a decision framework to guide evaluation based on economics.
Compared costs and benefits of each procurement strategy.
Found that serverless options can be cost-effective for fluctuating workloads.
Identified scenarios where buying GPUs provides long-term savings.
Demonstrated that renting GPUs can be beneficial for short-term needs without commitment.

Implication

Research explores procurement options for AI compute, suggesting a framework for cost-effective choices.

Abstract

Research article: GPU Economics — Buy, Rent, or Serverless: A Decision Framework for AI Compute Procurement

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Cite This Study

Oleh Ivchenko (2026) studied this question.

synapsesocial.com/papers/69994cd2873532290d021a34 https://doi.org/10.5281/zenodo.18693700

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