Deployment Overview

Overview

The GI platform is designed as a self-contained AI platform, enabling you to maintain complete control over your data and infrastructure. To deploy the platform, you will need to provision the necessary compute resources within your preferred cloud or on-premise environment.

Supported Cloud Providers

The GI supports deployment on the following cloud providers:

Amazon Web Services (AWS)

Leverage AWS's robust infrastructure and services for scalable and reliable deployments.

Microsoft Azure

Deploy seamlessly within your existing Azure environment, utilizing Azure's integrated services.

Google Cloud Platform (GCP)

Utilize GCP's powerful compute capabilities and data analytics tools for optimal performance.

Digital Ocean

A simplified cloud experience, ideal for smaller deployments and development environments.

Deployment Process

The general deployment process involves the following steps:

1. Compute Resource Provisioning: You will be responsible for setting up the required virtual machines, storage, and networking resources within your chosen cloud provider or on-premise environment.

2. Platform Installation: Once your compute resources are ready, you will install the GI platform using the provided installation scripts and instructions.

3. Configuration and Integration: After installation, you will configure the platform to meet your specific requirements and integrate it with your existing systems.

Assistance with Environment Setup

We understand that setting up cloud environments can be complex. Our team is available to provide assistance with the provisioning of your compute resources, ensuring a smooth and efficient deployment process. Please contact your designated support representative to discuss your specific requirements and receive personalized guidance.

Choosing your provider

Each cloud provider offers unique features and pricing models. Please refer to the specific deployment guide for your chosen provider for detailed instructions and recommendations.