Embedded ultra-compact Artificial Intelligence processing cards for edge computing
This low-power module enhances industrial IoT edge devices with hardware accelerated deep learning and enhanced machine vision functionality.
At this moment there is a growing need for Artificial Intelligence on the edge with dedicated hardware because a lot of IoT solutions are connecting edge devices to the cloud.
Experts in this field agree that not all the tasks and decision making processes can be addressed in cloud-only models, AI Core is the solution for cloud limitation.
AI Core is powered by an advanced vision processing unit: the Intel® Movidius™ Myriad™ 2 VPU. With 512 MB onboard DDR memory this mini card module requires very delivers high-performance machine vision and visual awareness in severely power-constrained environments.
Myriad 2 gives developers immediate access to its advanced vision processing core, while allowing them to develop proprietary capabilities that provide true differentiation
AI Core is the perfect companion board of UP Squared, the compact expandable board powered by Intel processor families. The mini-PCIe interface makes AI Core compatible with most industrial computer boards in the market.
Using the supported software tools, you can create and train your neural network in the cloud and then run it locally on AI Core.
- Intel® Movidius™ Myriad™ 2 2450
- TensorFlow, Caffe
- Form factor: Mini PCI-Express
- Dimensions: 51 x 30 mm
Minimum system requirements
- x86_64 computer running Ubuntu 16.04
- Available mPCI-E slot
- 1GB RAM
- 4GB free storage space
- high-end virtual reality headsets
- smart home devices
- smart cameras
- video surveillance solutions