Jun 3
As AI infrastructure and applications are growing at an increasingly unimaginable pace in modern digitalization, the hardware associated with them should also evolve at the same pace. Neural processing units (NPUs), and the Graphics processing unit (GPU) are both great in machine learning tasks in different ways.
Whereas, GPUs and NPUs are different processors designed for AI tasks, GPUs are great in parallel processing and rendering, whereas NPUs are created specifically for improving facial recognition and deep learning with less disadvantages. In this blog we explore what are the key differences between NPU vs GPU.
