artificial intelligence (AI) hardware
2024-11-05
AI hardware refers to hardware devices such as GPUs, TPUs, ASICs, etc. that are used to accelerate AI computation. These devices are specifically designed to efficiently perform deep learning and other computationally intensive tasks.AI hardware has the following advantages:
1. efficiency and parallelism: AI hardware utilizes parallel computing and high-speed storage technologies to efficiently process large-scale datasets and complex models and accelerate AI computation.
2. energy consumption optimization: AI hardware usually has efficient energy management features that can reduce energy consumption while performing computational tasks.
However, AI hardware also has some limitations:
1. Fixed Functions: AI hardware is specially designed with fixed functions and performance. It cannot be flexibly adapted and expanded according to different needs.
2. High cost: Since AI hardware requires specialized manufacturing and design techniques, its cost is usually high. This limits its use in certain application areas.
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