AI Hardware for Real-Time Analytics: Speed and Precision
AI hardware market is projected to grow from USD 24.2 billion in 2024 and is expected to reach USD 54.7 billion by 2029, growing at a CAGR of 17.7% from 2024 to 2029. Edge AI hardware refers to specialized devices and components designed to perform artificial intelligence (AI) computations directly on the edge of the network, near the data source, rather than relying on centralized cloud-based resources. This approach enables faster processing, reduced latency, enhanced privacy, and improved efficiency for various applications. Here’s a comprehensive look at edge AI hardware and its significance. Components of Edge AI Hardware Processors : The core component of edge AI hardware is the processor, which can include: Central Processing Units (CPUs) : General-purpose processors capable of handling a wide range of tasks. Graphics Processing Units (GPUs) : Highly parallel processors designed for handling large-scale computations, such as image and video processing. Application-Specific Inte...