All-In-One-Machine Self Installation

• System Requirements:
• Windows OS 10/11/Server (via wsl)
• GPU (for AI Training & Inference): NVIDIA GPU with 8GB+ RAM (e.g. RTX3070)
• GPU (for GenAI based Synthetic Data Generation): NVIDIA GPU with 16GB+ RAM (e.g. RTX4080)
• HDD: 250GB + Data Storage (as required)
• RAM: 32 GB+
• Ports Used: 4012, 4013, 4014, 5002(sftp), 5004(gateway), 5432(DB), 5555(http), 5556(https), 5672(message broker), 15672(message broker)
• Prerequisites:
• the following prerequisites should be installed for optimum performance:
• Windows Subsystem for Linux (WSL2) ---> to install open Command Prompt and type wsl - -install
• Docker Desktop for Windows (must be up and running during ReliVision installation and use)
• NVIDIA Drivers for optimum GPU performance
• Installation:
• Client App (ReliUI):
• Click and run the ReliVisionClientApp Installer .exe
• Server App (ReliTrainer & ReliAudit) :
• Click and run the ReliVisionServerApp Installer .exe
• Initate installation by clicking the Starter
• Choose which components (or all) to install from the menu
• Update & Upgrade:
• Client App (ReliUI):
• Click and run the latest ClientApp Installer .exe [existing directory where the Client App (ReliUI) is located should be selected]
• Server App (ReliTrainer & ReliAudit) :
• Click and run the latest ServerApp Installer .exe [existing directory where ReliVision Server App is located should be selected]
• Initiate update or upgrade by clicking the Starter
• Choose which components (or all) to install from the menu
• Server App components are ONLY accessible via ReliUI and are not activated without a valid license KEY.  ReliUI prompts the user to enter a license KEY in case the Server App installation lacks it.

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