Cloud ops is different in a neocloud
Enterprises are taking a serious look at neoclouds, the specialized cloud providers built primarily around AI infrastructure, especially GPUs, high-speed networking, and large-scale compute clusters for model training and inference. Unlike traditional hyperscalers that provide broad platforms for almost every kind of enterprise workload, neoclouds tend to focus more narrowly on accelerated computing. CoreWeave, Lambda, Crusoe Cloud, and others are all commonly associated with this emerging AI infrastructure market. The interest is not difficult to understand. Enterprises are under pressure to move generative AI , machine learning , and advanced analytics projects out of the lab and into production. At the same time, access to large blocks of GPU capacity has become expensive, constrained, and in some cases difficult to obtain from the major hyperscalers. Many enterprises are finding that neoclouds can offer better economics, faster access to capacity, or configurations more closely aligned with AI workloads. This does not mean AWS, Microsoft Azure, and Google Cloud are being displaced. They remain the default operating environment for most enterprise cloud deployments. They provide mature administrative planes, security tools, compliance frameworks, global footprints, managed services, and operational ecosystems that enterprises have spent years learning how to use. However, AI has changed the infrastructure conversation. Enterprises are worrying less about which cloud they…