Intel Movidius Neural Compute SDK
PaidCreate low-power AI apps for edge devices, develop and deploy quickly, leverage deep learning frameworks.
About Intel Movidius Neural Compute SDK
Intel Movidius Neural Compute SDK is a powerful and easy-to-use software development kit that enables developers to create sophisticated artificial intelligence applications for edge devices. This SDK is perfect for those who want to create AI-powered applications that can run on small, low-power devices such as drones, robots, and other wearable and embedded devices. With the Intel Movidius Neural Compute SDK, developers can develop, debug, and deploy AI applications quickly and easily. This SDK comes with a comprehensive toolkit and a wide range of libraries and samples that make it easy to develop AI applications. In addition, the SDK supports several popular deep learning frameworks including TensorFlow, Caffe, and ONNX. With the Intel Movidius Neural Compute SDK, developers can build applications with high-performance and low-power consumption, enabling them to create AI applications with efficient and reliable processing.
Key Features
Pros & Cons
- Enables efficient AI inference on low‑power edge hardware
- Supports multiple popular deep learning frameworks (TensorFlow, Caffe, ONNX)
- Provides a straightforward setup and example code via ncappzoo
- Migration path to OpenVINO toolkit ensures long‑term support for existing projects
- Product and SDK are discontinued; no further updates or support
- Requires migration to OpenVINO toolkit for continued development on newer platforms
- Limited to Intel Neural Compute Stick hardware (NCS/NCS2)
- Documentation and examples may become outdated over time
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