On-Prem Installation

• Manual Graphistry Installation
• Red Hat Enterprise Linux 7.6 (RHEL) manual configuration
• Warning
• About
• Manual RHEL environment configuration
• Ubuntu 18.04 LTS manual configuration
• Warning
• About
• Manual environment configuration
• Virtual GPU Support

Quick launch: Manual

Requirements: [Download Graphistry](https://graphistry.zendesk.com/hc/en-us/articles/360033184174) and [verify docker-compose is setup for Nvidia runtimes](testing-an-install.md#6-quick-testing-and-test-gpu)

1. Install if not already available from the folder with containers.tar.gz, and likely using sudo:

`bash docker load -i containers.tar.gz `

Note: In previous versions (< v2.35), the file was containers.tar

2. Launch from the folder with docker-compose.yml if not already up, and likely using sudo:

`bash docker compose up -d `

Note: Takes 1-3 min, and around 5 min, docker ps should report all services as healthy

3. Test: Go to

` http://localhost `

• Create an account, and then try running a prebuilt Jupyter Notebook from the dashboard! * The first account gets an admin role, upon which account self-registration closes. Admins can then invite users or open self-registration. See [User Creation](user-creation.md) for more information.

• Try a visualization like http://localhost/graph/graph.html?dataset=Facebook&play=5000&splashAfter=false * Warning: First viz load may be slow (1 min) as RAPIDS generates just-in-time code for each GPU worker upon first encounter, and/or require a page refresh

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## Manual enterprise install

NOTE: Managed Graphistry instances do not require any of these steps.

The Graphistry environnment depends soley on [Nvidia RAPIDS](https://rapids.ai) and [Nvidia Docker](NVIDIA/nvidia-docker) via Docker Compose 3, and ships with all other dependencies built in.