- July 31, 2017
July 31, 2017 - RS Components announced the release of the Intel Movidius Neural Compute Stick (NCS), which is a development tool for low-power deep-learning inference. The tool enables developers to develop and prototype artificial intelligence (AI) applications to a range of devices at the edge in a convenient USB form factor.
Targeting developers, corporate R&D and academic researchers working in machine-learning and data-science applications, the Neural Compute Stick integrates the Movidius Vision Processing Unit (VPU), which offers power efficiency and is capable of running floating-point Convolutional Neural Networks (CNNs).
Supporting the Caffe Deep Neural Network (DNN) framework, the Neural Compute Stick is designed for use as a development tool for neural network prototyping and acceleration. The USB-form-factor inference engine enables developers and researchers to free their projects from the Cloud and allow them to learn about the performance and accuracy of their neural network applications running in the real world. Neural network projects can be quickly ported via the Movidius Neural Compute Compiler to run real-time deep-learning inference on the compact USB stick.
Enabling the acceleration of existing compute-constrained platforms, the NCS enables deep-learning R&D and prototyping on a Linux laptop or any x86-based host device. In addition, the Neural Compute Platform API allows user applications to run on an embedded host, which can initialise the target platform, load a graph file and offload inferences. Support for the NCS will also be extended in the future to include other platforms such as the Raspberry Pi.