A Comprehensive Analysis of Quantization Methods for Efficient Neural Network Inference

The Imperative for Model Efficiency: An Introduction to Quantization The Challenge of Large-Scale Models: Computational and Memory Demands The field of deep learning has been characterized by a relentless pursuit Read More …

An Expert-Level Monograph on NVIDIA TensorRT: Architecture, Ecosystem, and Performance Optimization

Section I. Core Architecture and Principles of TensorRT Defining TensorRT: From Trained Model to Optimized Engine NVIDIA TensorRT is a Software Development Kit (SDK) purpose-built for high-performance machine learning inference.1 Read More …