
layout: blog_detail
title: 'Introduction to Quantization on PyTorch'
author: Raghuraman Krishnamoorthi, James Reed, Min Ni, Chris Gottbrath, and Seth Weidman

It’s important to make efficient use of both server-side and on-device compute resources when developing machine learning applications. To support more efficient deployment on servers and edge devices, PyTorch added a support for model quantization using the familiar eager mode Python API.