kaito
Explore an operator that simplifies AI/ML model deployment and tuning within Kubernetes clusters. Using container images to manage large model files and enabling automatic GPU node provisioning, this tool provides preset configurations for easier workload parameter adjustments across various hardware setups. Models like falcon and phi-3 can be deployed effectively, and the operator is hosted in Microsoft’s Container Registry when licenses permit. Employing a workspace custom resource and Kubernetes CRD/controller pattern, it automates the deployment process to align with GPU and tuning specifications, including model fine-tuning capabilities. Supported by Azure CLI or Terraform for easy model addition, this operator delivers an efficient approach for scaling and customizing AI applications.
