AI Hardware 🖥️🧠🤖

AI Hardware refers to the specialized physical components and devices designed specifically to facilitate the development and operation of artificial intelligence (AI) systems. This category includes processors like GPUs (Graphics Processing Units) , TPUs (Tensor Processing Units) and NPUs (Neural Processing Unit), which are essential for handling the intense computational demands of machine learning algorithms.  Among many chips available on the market, an AI accelerator, deep learning processor, or neural processing unit is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and machine vision. At the moment, Nvidia is a top supplier of AI chips and software, controlling about 80 percent of the global market share in GPUs. But Nvidia does not manufacture its own chips

AI optimized Hardware and chips for high performance

AI hardware also encompasses neuromorphic chips that mimic the human brain’s neural architectures, offering more efficient processing for AI tasks. Additionally, this industry involves developing and manufacturing advanced sensors, robotic components, and dedicated AI servers that are optimized for speed and efficiency in AI operations.

The development in hardware aims to enhance AI capabilities, reduce power consumption, and accelerate AI applications across various sectors including healthcare, automotive, and consumer electronics.

Please find below a collection of articles relevant to the importance of powerful processors, PCs, laptops to support the vampire like computational needs of generative AI.