Blogger releases local AI container project braindead-local-intelligence
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Blogger Solène has released the braindead-local-intelligence project, which uses podman containers to deploy local AI with one click, including an OpenAI API-compatible LLM service, an image generation service, SearXNG web search, and an Open WebUI interface. According to Solène's description, on the software side only a Linux system plus podman 5.0 or newer is needed, running in rootless mode, with all operations performed under the user's own account and no root involved. The project currently targets AMD GPUs, because the author does not have an NVIDIA GPU and has not tested it on NVIDIA; models have been tested up to 12 GB of VRAM, and larger models will also partially use system memory. The simplest way to use it is through the Open WebUI web interface at http://127.0.0.1:3000, which can only be accessed from the local machine.
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- Hacker News AIAn easy way to try local AI with braindead-local-intelligence
Solène introduces braindead-local-intelligence, a project that runs podman containers for an OpenAI-compatible LLM server, an image generation server, SearXNG web search and Open WebUI behind a single token-protected address, loading only one model at a time and unloading it after a few minutes idle. It requires a Linux system with rootless podman 5.0 or newer, targets AMD GPUs (tested up to 12 GB VRAM), and offers a documented list of ready-to-use text, vision and image models. Setup involves adding the user to the render and video groups, running bin/ia install and ia doctor, then ia start, with the web interface at http://127.0.0.1:3000.
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