CIOs have begun to rethink their reliance on the public cloud for AI and other workloads, with resurgent interest in private cloud and on-premises environments accelerating. While the public cloud provides the flexibility to spin up large numbers of GPUs for AI experimentation, CIOs are looking to private cloud or on-premises environments as their AI strategies mature, and settle into predictable AI workloads, to limit spending and protect data privacy, says Greg Whalen, CTO of data observability firm Prove AI. |