How to Publish Local AI Ollama 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.
Don’t forget to like, share, and subscribe for more tutorials on AI and cloud computing!
Links:
Patreon:
Ko-fi:
Discord:
Twitter / X :
GPU for 50% of it's cost: Coupon: MervinPraison (A6000, A5000)
Gcloud CLI Install:
Code:
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
Смотрите видео How to Publish Local AI Ollama to the Cloud? онлайн без регистрации, длительностью 09 минут 36 секунд в хорошем hd качестве. Это видео добавил пользователь Mervin Praison 26 Август 2024, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 3 тысяч раз и оно понравилось 121 людям.