There is no one single answer to which type of cloud is best for hosting AI workloads. As the use cases for AI are so widely varied, from LLMs, to chatbots, to internal company systems, the hosting needs are therefore also varied.
Generally, AI workloads will be resource-intensive, and therefore will require powerful servers. For this reason, a high-performance computing (HPC) solution is suitable for large AI workloads, as it can provide powerful performance for high-compute workloads.
Private cloud is also frequently used to host AI workloads, as it provides dedicated resources and a high level of flexibility and control.
AI workloads can be run on public cloud, however this is not generally ideal, as their cost structures mean costs can increase rapidly with the provisioning of the resources needed. If you are planning on running AI workloads on a public cloud environment, optimisation is essential. As a managed service provider, we offer public cloud management services, with expert support to optimise your platforms and control costs.