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GAIA - AI Local Runtimes Tool

Overview

GAIA is an open-source framework that rapidly sets up and runs LLM-based generative AI applications on AMD Ryzen AI PCs. It leverages a hybrid hardware approach combining AMD’s Neural Processing Unit (NPU) and Integrated GPU (iGPU) for optimized local LLM processing, and provides CLI and GUI interfaces, specialized agents, and an optional modern web UI (GAIA UI, internally known as RAUX).

Key Features

  • Hybrid NPU and iGPU acceleration for local LLM processing
  • Rapid setup to run LLM-based generative AI applications
  • CLI and GUI interfaces for developer and non-developer workflows
  • Specialized agents, including a Blender agent for 3D content creation
  • Optional modern web interface called GAIA UI (internally RAUX)

Ideal Use Cases

  • Local LLM-powered prototyping on AMD Ryzen AI PCs
  • 3D content workflows using Blender agent automation
  • Edge or offline generative AI deployments where local inference required
  • Developer testing and integration of model-serving pipelines

Getting Started

  • Clone the GAIA repository from GitHub.
  • Read the repository README and documentation.
  • Install required dependencies listed in the docs.
  • Configure hardware acceleration for AMD NPU and iGPU.
  • Start the CLI or launch the GUI; optionally enable GAIA UI.

Pricing

Open-source project; no pricing information disclosed in the provided repository context.

Limitations

  • Optimized for AMD Ryzen AI PCs; non-AMD hardware may not be supported
  • Optional web interface and agents may require additional setup

Key Information

  • Category: Local Runtimes
  • Type: AI Local Runtimes Tool
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