Cloud Run GPU Hackathon AI Agent Sample Repo: Deploy Your ADK Agent to Cloud Run with GPU

In this sample repo, you'll complete the prototype-to-production journey by taking a working ADK agent and deploying it as a scalable, robust application on Google Cloud Run with GPU support.

🏗️ What You'll Build

You'll deploy a Production Gemma3 Agent with conversational capabilities:

Gemma Agent (GPU-Accelerated):

• General conversations and Q&A
• Creative writing assistance
• Production-ready deployment on Cloud Run

📋 Prerequisites

• Google Cloud Project with billing enabled. (Please follow the Hackathon handbook manual instruction to apply the credit coupon to your project for the hackathon - DO NOT use your personal credit card)
• Google Cloud SDK installed and configured
• Basic understanding of containers and cloud deployment

🚀 Lab Overview

Part 1: Understanding the Production Agent (10 minutes)

Let's first explore the agent we'll be deploying:

Agent Architecture

┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ User Request │ -> │ ADK Agent │ -> │ Gemma Backend │
│ │ │ (Cloud Run) │ │ (Cloud Run+GPU) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│
v
┌─────────────────┐
│ FastAPI Server │
│ Health Checks │
│─────────────────┘

Key Components

Prerequisites

# Set your Google Cloud projectexport PROJECT_ID="your-project-id"
gcloud config set project $PROJECT_ID
gcloud config set run/region europe-west1
# Enable APIs
gcloud services enable run.googleapis.com cloudbuild.googleapis.com aiplatform.googleapis.com

Deploy Gemma Backend

cd hackathon-cloudrun/ollama-backend
gcloud run deploy ollama-gemma3-4b-gpu \
--source . \
--concurrency 4 \
--cpu 8 \
--set-env-vars OLLAMA_NUM_PARALLEL=4 \
--gpu 1 \
--gpu-type nvidia-l4 \
--max-instances 1 \
--memory 32Gi \
--allow-unauthenticated \
--no-cpu-throttling \
--no-gpu-zonal-redundancy \
--timeout=600
## download ollama utility and test the Cloud Run GPU service that is created
curl -fsSL https://ollama.com/install.sh
OLLAMA_HOST=<Cloud Run SERVICE URL generated above> ollama run gemma3:4b

Deploy ADK Cloud Run Agent that calls the Gemma Backend

# go to the ADK agent directorycd hackathon-cloudrun/adk-agent
export OLLAMA_URL=$(gcloud run services describe ollama-gemma3-4b-gpu \ --region europe-west1 \ --format='value(status.url)')# Create environment file
cat > .env <<EOFGOOGLE_CLOUD_PROJECT=$PROJECT_IDGOOGLE_CLOUD_LOCATION=europe-west1GEMMA_MODEL_NAME=gemma3:4bOLLAMA_API_BASE=$OLLAMA_URLEOF# Deploy the ADK based AI agent to Cloud Run with ADK webUI 
gcloud run deploy production-adk-agent \
--source . \
--region europe-west1 \
--allow-unauthenticated \
--memory 4Gi \
--cpu 2 \
--max-instances 1 \
--concurrency 50 \
--timeout 300 \
--set-env-vars GOOGLE_CLOUD_PROJECT=$PROJECT_ID \
--set-env-vars GOOGLE_CLOUD_LOCATION=europe-west1 \
--set-env-vars GEMMA_MODEL_NAME=gemma3:4b \
--set-env-vars OLLAMA_API_BASE=$OLLAMA_URL

Test Your Agent's health

# Get service URLexport SERVICE_URL=$(gcloud run services describe production-adk-agent \ --region=europe-west1 \ --format='value(status.url)')# Test health endpoint
curl $SERVICE_URL/health

🎉 Test your Agent with the ADK WebUI

Your production ADK agent is now running on Cloud Run with GPU acceleration!

Interact with your agent by entering the SERVICE_URL above for your production-adk-agent into a new browser tab. You should see the ADK web interface.

Try these queries:Gemma Agent (Conversational):

• "What is the color of a polar bear's skin ?"

• "What is the primary food source of a Giant Panda, a frequently exhibited endangered species?"

  Clean up

Follow these steps to delete the resources you created in this lab to avoid incurring further charges.

Examples of how to delete the two Cloud Run services that were deployed in this repo. You can also delete them in the Cloud Run Web Console page. Please also remember to delete other Google Cloud resources you may have used.

#Delete the ADK agent Cloud Run service:
gcloud run services delete production-adk-agent -region europe-west1
# Delete the Gemma backend Cloud Run service: 
gcloud run services delete ollama-gemma3-4b-gpu --region europe-west1