We write a lot about Artificial Intelligence and its algorithms, approaches and techniques. As a software developing company, we have a keen interest in such innovations that we can immediately put to practice in our projects. However, Artificial Intelligence is not only a smart program that works miracles; in many cases in depends on a physical device that incorporates this program. Like a robot without its body, AI software, to be productive, often needs a shell. In this post, we’ll explore what AI hardware really means.
As AI systems become more sophisticated, they demand more computation power from hardware. To address their needs, new hardware, specifically designed for AI, is supposed to accelerate training and performance of neural networks and reduce the power consumption. The traditional solution is to reduce the size of logic gates to fit more transistors, but shrinking logic gates below about 5nm can cause the chip to malfunction due to quantum tunnelling, so the challenge now is to find another way.
What is AI hardware?
First of all, what is actually AI hardware and how it differs from the general hardware we are used to. Essentially, when we talk about AI hardware, we refer to some type of AI accelerators — a class ...
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