NPU Insights | Sumble

What is NPU?

A Neural Processing Unit (NPU) is a specialized hardware accelerator designed to accelerate machine learning algorithms, particularly those used in artificial neural networks. They are often used in edge computing devices like smartphones, IoT devices, and autonomous vehicles to perform AI tasks locally and efficiently, reducing latency and improving privacy compared to relying solely on cloud-based processing.

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What other technologies are related to NPU?

NPU Competitor Technologies

GPU

GPUs can perform similar parallel processing tasks as NPUs, especially in AI inference. While NPUs are more specialized, GPUs offer a more general-purpose parallel computing solution.

mentioned alongside NPU in 4% (486) of relevant job posts

NPU Complementary Technologies

CPU

CPUs handle general-purpose tasks and can offload specific AI-related workloads to NPUs. They work together in a heterogeneous computing system.

mentioned alongside NPU in 3% (232) of relevant job posts

ISP

Image Signal Processors (ISPs) often work in conjunction with NPUs in image and video processing applications. ISPs pre-process image data, and NPUs perform AI-related tasks like object detection or image enhancement.

mentioned alongside NPU in 2% (61) of relevant job posts

DSP

DSPs are used for signal processing tasks, which can be complementary to NPUs for audio or other sensor data processing. NPUs could handle AI tasks on processed sensor data by DSPs.

mentioned alongside NPU in 1% (143) of relevant job posts