AutoRound is an innovative quantization tool developed by Intel for efficient deployment of large language and vision-language models. It utilizes weight-only post-training quantization to achieve high accuracy at low-bit widths, while remaining fast and compatible with various models and devices. With features like mixed-bit tuning and minimal resource requirements, AutoRound provides a practical solution for optimizing AI model performance.