Introduction
Ollama and Llama3 are powerful tools for AI-driven projects, offering seamless integration and scalability for machine learning applications. In this guide, we will walk you through installing Ollama and Llama3 on an AWS EC2 instance running Ubuntu. By the end of this tutorial, you will have a fully operational environment ready to run AI workloads.
Step 1: Launch an AWS EC2 Instance
- Log in to your AWS Management Console.
- Navigate to EC2 under the Compute section.
- Click on Launch Instances and configure the following:
- AMI: Choose an Ubuntu Server (20.04 or 22.04 LTS is recommended).
- Instance Type: Select an instance with adequate resources. For AI workloads, choose instances like
g4dn.xlarge
orp3.2xlarge
for GPU support. - Key Pair: Select or create a key pair for SSH access.
- Security Group: Allow SSH (port 22) and any additional ports required (e.g., for APIs or web access).
- Launch the instance and connect via SSH:
ssh -i your-key.pem ubuntu@your-instance-public-ip
ssh -i your-key.pem ubuntu@your-instance-public-ip
Step 2: Update and Upgrade the System
Update your Ubuntu system to ensure you have the latest packages:
sudo apt update && sudo apt upgrade -y
Install basic dependencies:
sudo apt install -y build-essential curl wget git python3 python3-pip
Step 3: Install Ollama
curl -fsSL https://ollama.com/install.sh | sh
Then run llama3
Open the terminal and run ollama run llama3
Run example with CURL
curl -X POST http://localhost:11434/api/generate -d '{
"model": "llama3",
"prompt":"Why is the sky blue?"
}'
Conclusion
Congratulations! You have successfully installed and configured Ollama and Llama3 on an AWS EC2 instance running Ubuntu. Your environment is now ready to handle advanced AI tasks and scale as needed. If you encounter any issues, consult the respective documentation or reach out to the community for support.