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CodeProject.AI_ServerGPU

Overview

Fast, free, self-hosted Artificial Intelligence Server for any platform, any language. CodeProject.AI Server is a locally installed, self-hosted, fast, free and Open Source Artificial Intelligence server for any platform, any language. No off-device or out of network data transfer, no messing around with dependencies, and able to be used from any platform, any language. Runs as a Windows Service or a Docker container. The Docker GPU version is specific to nVidia's CUDA enabled cards with compute capability >= 6.0 It may take some time to install as the image takes up a few GB of space! One among many examples of use: it can be easily integrated in AgentDVR Video Surveillance Software for face or object recognition.

Install CodeProject.AI_ServerGPU on Unraid in a few clicks.

Find CodeProject.AI_ServerGPU in Community Apps on your Unraid server, review the template, and click Install. Unraid handles the Docker app or plugin setup from the published template.

Open the Apps tab on your Unraid server Search Community Apps for CodeProject.AI_ServerGPU Review the template variables and paths Click Install

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Links

Projectcodeproject.com Supportcodeproject.com Docker Hubhub.docker.com Templateraw.githubusercontent.com

Details

Repository

codeproject/ai-server:gpu

Registry

https://hub.docker.com/r/codeproject/ai-server

Last Updated2024-12-16

First Seen2023-04-25

Runtime arguments

Web UI: http://[IP]:[PORT:32168]
Network: bridge
Shell: sh
Privileged: false
Extra Params: --gpus all

Template configuration

Host Port 1Porttcp

Target: 32168
Value: 32168

Host Path 1Pathrw

Target: /etc/codeproject/ai
Value: /mnt/user/appdata/codeprojectai/data

Host Path 2Pathrw

Target: /app/modules
Value: /mnt/user/appdata/codeprojectai/modules

Library

Curated

Categories