The ability to scale on demand is a significant advantage of the public cloud over on-premises infrastructure. Cloud-native applications can grow or shrink depending on changing requirements, ensuring better service for end users. To allow this scalability, customers are billed in arrears based on the resources used. In contrast, on-premises infrastructure is typically purchased upfront. Applications hosted on-premises usually remain static, unable to consume more or fewer resources than those contained within a server.
The ability to access massive scale at small incremental cost is one of the reasons why Uptime Intelligence expects cloud infrastructure to be the main venue for AI training workloads (see Most AI models will be trained in the cloud).
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