In this comprehensive guide, you'll learn how to install Amazon Nova Premier AI on AWS EC2, a powerful AI powered cloud solution for businesses and developers. Follow these easy steps to deploy cutting edge AI technology on Amazon Web Services (AWS) and enhance your machine learning workflows.
Scalable AI Infrastructure : Leverage AWS cloud computing for high-performance AI models.
Cost Efficient : Pay as you go pricing with AWS EC2 instances.
Seamless Integration : Works with AWS S3, Lambda and other AWS services.
Enterprise Grade Security : Benefit from AWS security protocols.
Before installing Amazon Nova Premier AI, ensure you have:
✔ AWS Account (Sign up here)
✔ EC2 Instance (Recommended: Ubuntu 20.04/22.04 LTS)
✔ SSH Access (Terminal/PuTTY for Windows)
✔ Basic AWS CLI Knowledge
Log in to your AWS Management Console.
Navigate to EC2 Dashboard > Click "Launch Instance".
Name your instance (e.g., Nova-Premier-AI-Server).
Select an OS – Choose Ubuntu Server 22.04 LTS (Free Tier Eligible).
Choose Instance Type – For AI workloads, use t2.xlarge (or higher for GPU support).
Create a Key Pair (Download .pem file for SSH access).
Configure Security Group – Allow SSH (Port 22), HTTP (Port 80), HTTPS (Port 443).
Click "Launch Instance".
For Linux/Mac:
chmod 400 your-key.pem
ssh -i "your-key.pem" ubuntu@your-ec2-public-ip
For Windows (Using PuTTY):
Convert .pem to .ppk using PuTTYgen.
Open PuTTY, enter your EC2 Public IP, and load the .ppk key.
Click "Open" to connect.
Run these commands to update packages and install required dependencies:
sudo apt update && sudo apt upgrade -y
sudo apt install -y python3-pip python3-dev git nginx
sudo pip3 install virtualenv
1. Clone the Nova Premier AI repository
git clone https://github.com/amazon-nova/premier-ai.git
cd premier-ai
2. Set up a Python Virtual Environment
virtualenv venv
3. source venv/bin/activate
Install Python Requirements
pip3 install -r requirements.txt
4. Configure AWS CLI (Optional for AWS integrations):
aws configure
Enter your AWS Access Key, Secret Key and Region.
1. Start the AI Application
python3 app.py
2. Test the AI API: Open a browser and visit http://<your-ec2-public-ip>:5000
1. Configure Nginx as a Reverse Proxy
sudo nano /etc/nginx/sites-available/nova-ai
Paste below block
server {
listen 80;
server_name your-domain.com;
location / {
proxy_pass http://127.0.0.1:5000;
proxy_set_header Host $host;
}
}
Enable the config
sudo ln -s /etc/nginx/sites-available/nova-ai /etc/nginx/sites-enabled
sudo nginx -t
sudo systemctl restart nginx
2. Install SSL with Certbot (Let’s Encrypt)
sudo apt install certbot python3-certbot-nginx -y
sudo certbot --nginx -d your-domain.com
1. Create a Systemd Service
sudo nano /etc/systemd/system/nova-ai.service
Pase below block
[Unit]
Description=Nova Premier AI Service
After=network.target
[Service]
User=ubuntu
WorkingDirectory=/home/ubuntu/premier-ai
ExecStart=/home/ubuntu/premier-ai/venv/bin/python3 /home/ubuntu/premier-ai/app.py
Restart=always
[Install]
WantedBy=multi-user.target
2. Enable & Start the Service
sudo systemctl daemon-reload
sudo systemctl start nova-ai
sudo systemctl enable nova-ai
You’ve now deployed Amazon Nova Premier AI on AWS EC2 - a scalable, secure and high performance AI solution.
Next Steps:
🔹 Optimize AI Models : Fine tune for better accuracy.
🔹 Integrate with AWS S3/Lambda : Automate workflows.
🔹 Monitor with AWS CloudWatch : Track AI performance.
Pro Tip: Use AWS Auto Scaling to handle high AI workloads efficiently
Ready to transform your business with our technology solutions? Contact Us today to Leverage Our AI/ML Expertise.