// on-premises computing

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Dell Pivots to Desktop AI as Cloud Inference Costs Spiral

Enterprise customers are discovering that running AI inference on public clouds at scale is economically untenable, forcing vendors like Dell to resurrect the on-premise compute model. This creates a genuine market opening for locally-deployed AI agents and workloads, but it also signals that the cloud giants may have priced themselves out of the inference business—shifting the bottleneck from model capability to infrastructure economics. Fewer tokens consumed in AWS or Google data centers means less lock-in leverage for cloud providers and more hardware margin for device makers.