This tutorial guides you through deploying a containerized agent built with the Google Agent Development Kit (ADK) to Google Kubernetes Engine (GKE). The agent uses VertexAI to access LLMs. GKE provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure.
This tutorial demonstrates how to deploy the Llama-3.1-8B-Instruct model on Google Kubernetes Engine (GKE) and vLLM for efficient inference. Additionally, it shows how to integrate an ADK agent to interact with the model, supporting both basic chat completions and tool usage. The setup leverages a GKE Autopilot cluster to handle the computational requirements.
This tutorial demonstrates how to deploy the Llama-3.1-8B-Instruct model on Google Kubernetes Engine (GKE) using Ray Serve and vLLM for efficient inference. Additionally, it shows how to integrate an ADK agent to interact with the model, supporting both basic chat completions and tool usage. The setup leverages a GKE Standard cluster with GPU-enabled nodes to handle the computational requirements.