NPUs Insights | Sumble

What is NPUs?

A Neural Processing Unit (NPU) is a specialized hardware accelerator designed to accelerate machine learning tasks, especially neural networks. NPUs are commonly used in edge devices like smartphones and IoT devices to perform AI-related tasks locally, reducing latency and improving privacy compared to cloud-based processing. They excel at tasks like image recognition, natural language processing, and other AI inferences.

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What other technologies are related to NPUs?

NPUs Competitor Technologies

GPUs

GPUs are a primary alternative to NPUs for accelerating machine learning workloads, especially for tasks like image recognition and processing large batches of data.

mentioned alongside NPUs in 3% (94) of relevant job posts

NPUs Complementary Technologies

TensorFlow

TensorFlow is a machine learning framework that can be used to program and deploy models on NPUs. It provides the tools and APIs needed to leverage the capabilities of NPUs for specific applications.

mentioned alongside NPUs in 0% (64) of relevant job posts

PyTorch

PyTorch is a machine learning framework, similar to TensorFlow, that can be used to develop and deploy models on NPUs. It offers tools to utilize NPUs for accelerated computation.

mentioned alongside NPUs in 0% (53) of relevant job posts