The full name of NPU is Neural
The full name of NPU is Neural Processing Unit. It is a processor similar to the human nervous system, simulating the working way of the human brain, and can be integrated into a CPU, GPU or Application Special Integrated Circuit (ASIC). It can be an independent chip. In short, it is a processor more suitable for implementing AI applications such as machine learning and deep learning.
The biggest feature of NPU is that it can improve the running speed and efficiency of deep learning models. Compared with traditional CPUs or GPUs, NPUs usually have higher computing power and lower power consumption, and are suitable for processing tasks that take a long time or have a large amount of data, including facial recognition, speech recognition, natural language processing and other AI applications. .
Tensor Processor (TPU)
TPU refers to Tensor Processing Unit, which is a processor developed by Google to accelerate machine learning. It is also enhanced for the training and reasoning of deep neural networks. Simply put, TPUs are designed to maximize the efficiency of neural network workloads to provide faster and cost-effective calculations.
Many of Google’s own AI products and services
Such as Google search, voice assistant, etc., use TPU behind the scenes to provide faster and more stable services. Google will also Brother Cell Phone List put TPU into its Pixel phones starting in 2021, allowing voice assistants and photo processing to provide a better user experience through AI.
Although NPU and TPU are somewhat
Similar in positioning, they Afghanistan Phone Number List also have many differences. In addition to the design focus of TPU being more targeted, NPU being more extensive, and supporting ecosystems being different, from a price point of view since NPU requires more components and a more complex design, the cost is also higher.
