An AI inference pod packages one or more model-serving processes with assigned accelerator, memory and networking resources. A routing layer selects among available pods according to load, model availability and cached context.
Pods provide an operational unit for scaling and isolation, but their exact structure depends on the deployment platform. Large models may require several devices inside one serving unit, while smaller models may share hardware.
ELI5
An AI inference pod is a deployable unit of compute and software that serves model requests. It packages model workers with assigned accelerators, memory and networking.
For example, a routing service can send requests to whichever pod has the required model and available capacity. A large model may need several devices inside one pod, while smaller models may share hardware.
