Nezha Developer Kit

Overview

Build efficient solutions for retail, industrial, healthcare, and other applications at the edge on developer kits with Intel® Processor N97. These developer kits come with a prevalidated software stack. Combined with the efficient multitasking performance, graphics capabilities, and expanded I/O features, you have a complete kit that helps accelerate the development and deployment of your solution.

  • Delivers improved single-thread and multithread performance with up to eight cores and higher memory bandwidth with DDR5 and LPDDR5 SDRAM support.
  • Accelerates AI performance. Use for up to three simultaneous displays on Intel® UHD Graphics, which is based on Xe Architecture with up to 32 execution units. These execution units are the graphics compute processors that are optimized for simultaneous multithreading.
  • Delivers built-in support to combine data from validated sensors (such as accelerometers, gyroscopes, and magnetometers) to create a more complex virtual sensor for your solution.

Prevalidated Software

Get the most out of your hardware performance with the Intel® Distribution of OpenVINO™ toolkit, Ubuntu* Desktop LTS, and libraries.

Pretrained Models for Acceleration

Choose from various optimized detection and recognition models for developing deep learning applications.

Training Extensions for Deep Learning

Modify, customize, train, and extend computer vision models for deep learning and inference optimization.

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Who Needs This Product

System integrators, independent software vendors (ISVs), and IoT developers who create vision-based inferencing applications—such as autonomous mobile robots, retail self-serve kiosks, medical devices, and industrial computers at the edge—that demand:

  • High-performance AI inferencing algorithms across Intel® platforms
  • Efficient performance and expanded I/O features to support multiple cameras, devices, sensors, and displays
  • Ability to offload multiple workloads to either an Intel® processor or graphics processing unit (GPU)

Reference Implementations

Use these available prebuilt and validated reference implementations to test and deploy industrial, retail, and healthcare applications enabled for computer vision.

Your experience may vary depending on the configuration of your developer kit. For details, see the target system requirements in the reference implementation.

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Hardware

Prevalidated developer kits

Intel Processor N-series

AAEON* Nezha Developer Kit
  • Delivers performance powered by the Intel Processor N97.
  • Prevalidated Edge Insights for Vision enables computer vision and deep learning inference for applications at the edge, optimized for Intel architecture.
  • Onboard Trusted Platform Module (TPM) 2.0.
     

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Edge Insights for Vision

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Software


 

Prevalidated | Ubuntu* Desktop LTS
Intel® Distribution of OpenVINO™ Toolkit
  • Enable convolutional neural network-based deep learning inference on the edge.
  • Support heterogeneous running across various accelerators—CPUs, GPUs, Intel® Movidius™ Neural Compute Sticks (NCS), and Intel Vision Accelerator Design products—using a common API.
  • Speed up time to market via a library of functions and preoptimized kernels.

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