DataBank reports that AI training and inference are driving demand for GPU-heavy instances, custom accelerators, and large GPU clusters. It also says enterprises are re-evaluating cloud-first approaches and sometimes repatriating workloads for cost, compliance, or performance reasons.[11]
AI workloads are reshaping cloud architecture and cost models