How do I deploy Akita models in production?

How do I deploy Akita models in production?

To deploy Akita models in production, you need to follow these steps: 1. Train your model, 2. Export the model, 3. Set up your production environment, and 4. Integrate the model with your application.

What kind of environment do I need for deployment?

You should have a cloud service or on-premises server that supports the necessary libraries and frameworks used by Akita.

Can I use Docker for deployment?

Yes, using Docker is a great way to containerize your Akita models, ensuring consistency across different environments.

What monitoring tools should I use after deployment?

You can use tools like Prometheus, Grafana, or Akita's built-in monitoring features to keep track of your model's performance.

How do I handle model updates?

For model updates, you can implement a CI/CD pipeline that automates the retraining and redeployment process.