What is NPU?

NPU definition

An NPU, or Neural Processing Unit, is a special chip designed to handle AI and machine learning tasks on a device. While the CPU and GPU can also process AI workloads, the NPU is built specifically for these operations, making it faster and more efficient.

Modern smartphones, tablets, and laptops use NPUs to power features like real-time photo enhancement, voice recognition, background blur in videos, face unlock, on-device translation, and various smart suggestions. Instead of sending data to cloud servers, the NPU can process many AI tasks locally, which improves speed and protects user privacy.

Why the NPU matters

  • Faster AI-powered features
  • Better image and video processing
  • Lower battery usage for ML tasks
  • Improved security through on-device processing
  • Smoother user experience in AI-heavy apps

As AI-driven features grow, NPUs have become one of the most important components in modern chipsets like Apple’s Neural Engine, Google’s Tensor NPU, and Qualcomm’s AI Engine.

Common uses of an NPU

  • Night mode and portrait photos
  • Real-time noise reduction in videos
  • Voice assistants
  • Language translation
  • Smart photo sorting and recognition
  • Generative AI features on phones

NPU vs CPU vs GPU

  • CPU: Handles everyday tasks and system operations
  • GPU: Handles graphics and visual processing
  • NPU: Handles AI-specific operations with higher efficiency

All three work together, but the NPU is what gives modern devices their "smart" capabilities.