Quantization is an AI optimization technique that reduces the numerical precision of model parameters to decrease memory usage, improve inference speed, and reduce computational requirements.
Voice AI providers use Quantization to deploy speech recognition and language models efficiently on cloud infrastructure, edge devices, and mobile hardware while maintaining acceptable performance.