What's and Why NPU?

A beginner-friendly breakdown of what a Neural Processing Unit is, how it differs from a CPU and GPU, and why you actually need one in your next computer.

What is an NPU?

A Neural Processing Unit (NPU) is a specialized chip designed specifically to execute machine learning algorithms and artificial intelligence tasks. Unlike traditional processors that are built for general-purpose computing, NPUs are highly optimized for the complex mathematical operations (like matrix multiplication) required by neural networks.

"Think of the CPU as the manager, the GPU as the artist, and the NPU as the brilliant mathematician who only does one type of math, but does it incredibly fast and efficiently."

CPU vs. GPU vs. NPU

CPU (Central Processing Unit): Great at handling a few complex tasks very quickly in sequence. It runs your operating system and basic applications.
GPU (Graphics Processing Unit): Excels at doing thousands of simple tasks simultaneously, making it perfect for rendering graphics and video games.
NPU (Neural Processing Unit): Specifically tailored to process AI workloads (like blurring your background on a video call, or generating text locally) using a fraction of the power a GPU would require.

Why Do You Need One?

The best thing about an NPU is efficiency. Given that there is now much more software that is utilizing AI capabilities such as Windows Copilot and intelligent noise cancellation, performing these tasks through a CPU or GPU consumes huge amounts of power from laptop batteries. NPU performs these tasks with ease while consuming very little power.