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| Company type | Private |
|---|---|
| Founded | 2005; 21 years ago (2005) |
| Defunct | September 2016; 9 years ago (2016-09) |
| Fate | Acquired byIntel |
| Headquarters | San Mateo, California, U.S. |
| Products | Computer vision anddeep-learning processor chips |
| Owner | Intel |
| Website | www |
Movidius Ltd. was a company based inSan Mateo, California, that designedlow-power processorchips forcomputer vision. The company was acquired byIntel in September 2016, who continues to sell the company's products under theMovidius line.[1]
Movidius was co-founded in 2005 by Sean Mitchell, David Moloney, and Val Muresan inDublin, Ireland.[2][3] Between 2006 and 2016, it raised nearly $90 million in capital funding.[4] In May 2013, the company appointedRemi El-Ouazzane as CEO.[5] In January 2016, the company announced a partnership withGoogle.[6] Movidius has been active in Google'sProject Tango,[7] and in September 2016 it was announced thatIntel planned to acquire the company.[8]
The company's Myriad 2 chip is amanycorevision processing unit that can function on power-constrained devices.[citation needed] TheFathom is aUSB stick containing a Myriad 2 processor, allowing a vision accelerator to be added to devices usingARM processors includingPCs,drones,robots,IoT devices andvideo surveillance for tasks such as identifying people or objects. It can run at between 80 and 150 GFLOPS on 1W of power.[9]
Intel's Myriad X VPU (vision processing unit) is the third generation VPU from Movidius. It uses a Neural Compute Engine, a dedicated hardware accelerator—for neural networkdeep-learning inferences.
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The Intel Movidius Neural Compute Stick (NCS) is a compact device designed to facilitate the development of deep learning applications at the network edge. It utilizes the Intel Movidius Myriad 2 Vision Processing Unit (VPU), which is also found in various smart devices like security cameras, gesture-controlled drones, and industrial machine vision systems. The NCS supports frameworks such asTensorFlow and Caffe for developing neural network models.[10]
The second iteration, the Intel Neural Compute Stick 2 (NCS 2), was introduced on November 14, 2018, at the AI DevCon event in Beijing. This version is based on the Myriad X VPU, which significantly improves performance over the original, providing up to eight times the processing capability for AI inference tasks. The NCS 2 is designed to work seamlessly with the Intel Distribution ofOpenVINO toolkit, which helps developers optimize and deploy their models efficiently.[11]
The NCS connects to a host machine via a USB interface, allowing developers to rapidly prototype and deploydeep neural network applications without the need for cloud connectivity. This makes it suitable for various real-time, low-power applications where efficient on-device processing is essential.[11]
