Containers are a good fit for tasks that require flexibility in resources, while AI models demand significant computational capacity. And managing that capacity can be a daunting task. Sounds like a partnership in the making! The challenge is to avoid upfront investments in expensive hardware or reserved capacity and instead deploy AI models and the required infrastructure capacity on demand. The Kubernetes AI Toolchain Operator (Kaito) on Azure Kubernetes Service offers a solution. In this session, we'll discuss the provisioning requirements, and demonstrate how to effectively run AI models on Kubernetes.