# Geti

An end-to-end platform for building computer vision models, from dataset preparation and training through optimization and deployment, tuned for Intel's CPU, GPU, and other accelerator hardware.

Geti is an end-to-end platform for building AI computer vision models, guiding a user through the full model lifecycle from dataset preparation and training to optimization and deployment. It is available as a Docker container or a native Windows application, and is optimized for fine-tuning and fast inference across Intel's XPU hardware, though CPU-only and CUDA use are also supported.

The application is powered by getitune, an open-source model training and optimization engine that is also published standalone as a Python library and can train, optimize, and deploy models directly from Python code. Version 3 of Geti is a lighter-weight revamp of the application with new state-of-the-art models; it fully replaces the project's earlier OpenVINO Training Extensions (OTX) component, whose package remains on PyPI but is deprecated in favor of getitune.

Installation options include the Windows MSIX package, a Docker container, an install script, or building from source.

Website: https://docs.geti.intel.com