Neoclouds are specialized clouds devoted to the wildly dynamic world of artificial intelligence, currently experiencing explosive 35.9% annual growth. Built from the ground up to meet AI’s significant computational demands, neoclouds first emerged several years ago. Dozens of providers have arrived since then, with CoreWeave, Crusoe, Llambda, Nebius, and Vultr among the neocloud leaders.
The ”neo” in neoclouds serves to distinguish them from the more established cloud providers such as AWS, Google Cloud, and Microsoft Azure, whose multitude of options for infrastructure, managed services, and applications imply that cloud providers must offer an endless aisle of choices. The hyperscalers were first to support AI workloads, too, but it was a retrofitted option on an existing platform rather than a clean slate implementation built for purpose.
Neoclouds have one job: provide an optimal home for AI. Most obviously, that means neoclouds feature GPU-first computing, typically available at a price-per-hour less than half that of the hyperscalers. Neoclouds also offer high-bandwidth networking, low-latency storage, advanced power management, and managed services for deploying, monitoring, maintaining, and securing AI workloads. These capabilities are offered through a more streamlined and easy to use surface, unencumbered by traditional non-AI features.
