With the rapid advancement of artificial intelligence (AI), the need for new specialized processing units has become increasingly evident. The ecosystem is becoming more complex and continuously offers new avenues for innovation. Traditionally, CPUs (Central Processing Units) and GPUs (Graphics Processing Units) were used to handle AI workloads, leading to the development of NPUs (Neural Processing Units). The term “neural” refers to processing analogous to brain functions.
Compared to GPUs, NPUs offer improved performance and energy efficiency. Efficiency is crucial due to the massive energy consumption of today’s computations. It’s not just about data ...
