Installation Process

Installation Process

Hyperscience Infrastructure Prerequisites

Introduction Purpose This article describes the infrastructure prerequisites necessary to install the Hyperscience Application and Trainer. It is oriented toward the System Administrators who will perform this task. After you complete these steps, you will be ready to install and configure the application.

Hyperscience Virtual Machine Prerequisites

Introduction Purpose This article outlines the prerequisites necessary to setup the virtual machines (VMs) on which you will install the Hyperscience Application and Trainer. It is oriented toward the System Administrators who will perform this task.

Technical Installation / Upgrade Instructions

Introduction Purpose This article provides the steps necessary to install or upgrade the Hyperscience Application and Trainer. It is oriented toward the System Administrators who will perform this. Also, make sure you are either a root user or have administrative privileges.

Enabling Application Machines with GPUs in On-Premise Docker Deployments

With Hyperscience, you can leverage ORCA VLMs in the processing of your submissions. However, VLMs require more computing resources than our other automation capabilities do. In order to use ORCA VLMs in on-premise deployments of Hyperscience, you need to ensure your system meets the necessary requirements.

Enabling Trainers with GPUs in On-Premise Docker Deployments

With Hyperscience, you can classify and extract data from unstructured documents. However, automating these processes requires more computing resources than our automation capabilities for structured and semi-structured documents do. In order to proceed, your setup must accommodate these higher resource demands.

Enabling Application Machines with GPUs in On-Premise Podman Deployments

Enabling Trainers with GPUs in On-Premise Podman Deployments

NVIDIA GRID and CUDA Driver Installation for Azure VMs

Before using an Azure GPU VM with the Hyperscience application, you need to install either a GRID driver or a CUDA driver. These installations require different steps and considerations than those outlined in our documentation on enabling application machines.