Ollama Cloud: How to Publish Local AI to the Cloud?
🚀 Ready to publish your AI models in the cloud? In this tutorial, I’ll walk you through the entire process of deploying large language models (LLMs) using Google Cloud Run and Ollama. Whether you’re a beginner or an experienced coder, this guide is for you! How to Publish Local AI Ollama to the Cloud?
🔧 What You'll Learn:
Setting up Google Cloud Run to host your AI models
Configuring a Docker file to deploy a Gemma 2 model
Building and deploying Docker images with Google Cloud tools
Creating and managing service accounts for secure deployment
Integrating your cloud-hosted model into a Python application
Testing your cloud deployment locally and creating a user-friendly interface
💡 Key Highlights:
Deploy LLMs without spending a fortune: Scale to zero when not in use!
Integrate with Python easily and start building powerful applications.
Create a Chatbot UI with Chainlit for a seamless user experience.
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Gcloud CLI Install: https://cloud.google.com/sdk/docs/ins...
https://cloud.google.com/run/docs/tut...
Code: https://mer.vin/2024/08/ollama-cloud-...
📂 All the code is provided in the description below. Let’s get started!
0:00 Introduction
1:02 Setting Up Google Cloud Run
2:14 Creating and Configuring a Docker File
3:45 Building Docker Image and Repository Setup
4:45 Deploying Olama on Google Cloud Run
5:57 Integrating AI with Python Application
8:23 Testing Cloud Run Services Locally
9:02 Creating a User Interface with Chainlit
Watch video Ollama Cloud: How to Publish Local AI to the Cloud? online without registration, duration hours minute second in high quality. This video was added by user Mervin Praison 26 August 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 7,641 once and liked it 255 people.