Boost productivity:

1. Reduce time to prototype or tune neural networks with versatile hardware processing capabilities at a low cost.
2. Enhanced hardware processing capabilities vs. the original Intel Movidius Neural Compute Stick.
3. Take advantage of 16 cores instead of 12 plus a neural to compute engine, a dedicated d deep neural-network accelerator.
4. Up to 8X performance gain on deep neural network inference, depending on network.
5. Affordability accelerates deep neural network applications.
6. Transform the AI development kit experience.
7. Plug and Play Simplicity.
8. Affordable price point.
9. Supports common frameworks and includes out-of-box and fast development.

Discover efficiencies:

1. Exceptional performance per watt takes machine vision to new places.
2. Run at the edge without reliance on a cloud computing connection.
3. Deep learning prototyping is now available on a laptop, a single board computer or any platform with a USB port.
4. Accessible and affordable take advantage of more performance per watt and highly efficient fanless design.
5. Combine the hardware-optimized performance of the Intel Movidius Myriad X VPU and the Intel Distribution of OpenVINO Toolkit to accelerate deep neural network-based applications.
6. First in its class to feature the Neural Compute Engine a dedicated hardware accelerator.
7. 16 powerful processing cores, called SHAVE cores, and an ultrahigh-throughput intelligent memory fabric together make the Intel Movidius Myriad X VPU the industry leader for on-device deep neural networks and computer vision applications.
8. Featuring an entirely new deep neural network (DNN) inferencing engine on the chip.

Simpler versatility for prototyping:

1. Intel Distribution of OpenVINO toolkit streamlines the development experience.
2. Prototype on the Intel Neural Compute Stick 2 and then deploy your deep neural network onto an Intel Movidius Myriad X VPU-based embedded device.
3. Streamline the path to a working prototype.
4. Extend workloads across Intel hardware and maximize performance.
5. The robust, Intel Distribution of OpenVINO toolkit enables simpler porting and deployment of applications and solutions that emulate human vision.
6. The Intel Distribution of OpenVINO toolkit streamlines the development of multiplatform computer vision solutions increasing deep learning performance.
7. Its now easier to develop applications for heterogeneous execution across the suite of Intel acceleration technologies. Develop once and deploy across Intel CPU, VPU, Integrated Graphics or FPGA.
8. If desired, users can implement their own custom layers and execute those on the CPU while the rest of the model runs on the VPU.