Deploying Large Language Models on AKS with Kaito
Today, we are going to look at deploying a large language model (LLM) directly into your AKS (Azure Kubernetes Service) cluster, running on GPU-enabled nodes, using Kaito (Kubernetes AI Toolchain Operator).
KAITO is an open-source operator that transforms how you deploy AI models on Kubernetes. It streamlines the process, automating critical tasks like infrastructure provisioning and resource optimization. It intelligently selects the optimal hardware configuration for your specific model, using available CPU and GPU resources on AKS. KAITO eliminates the manual setup complexities, accelerating your deployment time and reducing associated costs.