In a world where data security is paramount, deploying a private Generative AI (GenAI) stack is crucial for businesses. HelixML offers a solution for those looking to utilize the power of open AI while maintaining full control over their data. This guide will walk you through how to install Helix on both Docker and Kubernetes and provide you with troubleshooting tips along the way.

What is HelixML?

HelixML is a sophisticated platform designed to deploy your own AI models securely within your data center or Virtual Private Cloud (VPC). Whether you are looking to work with language models or image models, HelixML provides an ergonomic and scalable solution tailored to your needs.

Getting Started

1. Install Helix on Docker

To kickstart your journey with Helix, you can use the quickstart installer. Here’s how:

• Run the following command in your terminal:

curl -sL -O https://get.helix.ml/install.sh

• Make the script executable:

chmod +x install.sh

• Execute the installer:

sudo ./install.sh

• The installer will guide you through any necessary changes to your system. By default, the Helix dashboard will be available at http://localhost:8080.

2. Install Helix on Kubernetes

If you prefer to deploy on Kubernetes, you can take advantage of Helix’s Helm charts:

• Control Plane helm chart
• Runner helm chart

Using the HelixML Platform

Once installed, you can build and deploy your own large language model (LLM) applications by writing a helix.yaml. This makes the process as seamless as drag-and-drop!

Troubleshooting Tips

If you encounter issues during installation or usage, consider the following troubleshooting tips:

• Ensure that Docker or Kubernetes is running correctly on your machine.
• Double-check the network settings if the dashboard is not accessible.
• Refer to the detailed documentation for more information on configuring your deployment.
• For further assistance, you can join the HelixML Discord community.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Licensing Information

Helix is licensed under terms similar to Docker Desktop. It’s free for personal, educational, and small business use. However, if you’re considering commercial deployment, it’s essential to review the specific licensing terms or contact us.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

By following the above steps, you’ll be well on your way to harnessing the power of HelixML for your private GenAI needs. Good luck and happy deploying!