Software Developer Kit

Free of charge, the Arm NN SDK is a set of open-source Linux software tools that enables machine learning workloads on power-efficient devices. This inference engine provides a bridge between existing neural network frameworks and power-efficient Arm Cortex-A CPUs, Arm Mali GPUs and the Arm Machine Learning processor.

Features and Benefits
NN Framework Translation 

Enables rapid application development through the support of commonly used frameworks such as TensorFlow, Caffe, and ONNX.

Effective Targeting of CPUs and GPUs 

Use the Compute Library to target programmable cores, such as Cortex-A CPUs and Mali GPUs, as efficiently as possible.

Arm NN for Android 

Arm NN works with NNAPI, Google’s interface for accelerating neural networks on Android devices, to target Mali GPUs and the Arm ML processor, enabling exponential performance boosts.

Comprehensive Support

Includes support for the Arm Machine Learning processor and, via CMSIS-NN, Cortex-M CPUs.

Artificial Intelligence

The new class of ultra-efficient machine learning processors is purpose-built to redefine device capabilities and transform our lives.

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Talk with an Expert

Interested in building machine learning workloads on power-efficient devices? Talk with Arm experts to learn more.

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Related Products and Services
Machine Learning Processor

Machine Learning Processor 

An optimized, ground-up processor design for machine learning. State-of-the-art optimized fixed-function engines provide best-in-class performance and energy efficiency. Programmable engines support future innovation and algorithms.

Compute Library

Compute Library

This software library is a collection of low-level functions optimized for Arm CPU and GPU architectures targeting image processing, computer vision, and machine learning. It is available free of charge under a permissive MIT open source license.

Open Source Accelerates Adoption of ML

To support the Machine Intelligence Initiative by Linaro, Arm has donated Arm NN, our open-source network machine learning (ML) software. We believe that open source collaboration with Linaro and other ecosystem partners helps reduce fragmentation and minimizes duplication of efforts. Through this initiative, SoC and NN vendors can continue to differentiate with their key competitive advantage. Learn more about the Linaro Machine Learning Initiative in this video.