Cloud providers’ hoarding of GPUs, memory, and other hardware to support AI workloads is causing scarcity, pricing out consumers and businesses alike.

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Cloud providers are hoarding GPUs and hardware for AI workloads, creating scarcity and driving up prices for consumers and businesses. This forces organizations to rent computational resources from the same providers causing the shortage. The article argues for a pragmatic hybrid approach: use cloud services where they add genuine value, but maintain owned infrastructure for core workloads to preserve autonomy and control costs. Organizations should resist vendor lock-in and evaluate total cost of ownership rather than accepting cloud migration as inevitable.

AI hardware too expensive? ‘Just rent it,’ cloud providers say