AIKit provides a complete platform for working with LLMs, combining inference serving through LocalAI with an OpenAI API-compatible interface, fine-tuning support via Unsloth, and OCI artifact packaging for model distribution. It uses containerized deployments with chiseled Docker images and supports declarative configuration for both inference and fine-tuning workloads in Kubernetes environments.