Gaia Self-Managed

Deployment Model: Self-Managed

29 January 2026

Gaia Self-Managed is purpose-built for organizations that need the full power of Gaia right within their own data centers. With this fully self-contained deployment, your sensitive data remains securely on-premises, helping you meet the privacy, governance, and regulatory requirements.

Gaia Self-Managed can be deployed using your existing compute, storage, and networking infrastructure. It supports seamless integration with container orchestration platforms such as Red Hat OpenShift, enabling efficient utilization of current IT resources. The following are a few key benefits:

Leverages existing hardware and software investments, reducing the need for additional provisioning.
Compatible with Kubernetes-based environments for streamlined deployment and management.
Keeps data within your network boundary, eliminating the need for WAN-based data transfers.

Enables indexing and analysis directly at the data source, improving performance and reducing latency.

Gaia Self-Managed offers the same powerful capabilities and high performance as the SaaS version, delivering advanced AI-driven analytics. It ensures enterprise-grade security and regulatory compliance, while offering increased deployment flexibility, granular control, and operational assurance tailored to complex organizational requirements.

The following workflow outlines the steps for using Gaia with Helios Self-Managed:

Install and Set Up Helios Self-Managed.
Log In to Helios Self-Managed.
Connect Clusters to Helios Self-Managed.
1. Register Sources in the Cohesity cluster.
2. Protect Sources in the Cohesity cluster.
Install the Gaia Service in Helios Self-Managed.
Install and Register the Gaia AI Engine.
Create Datasets in Gaia.
Select the dataset and converse with your data from the Gaia - AI Assistant page.

Insights Documentation