AiOT accelerator card for inference at the Edge

Native FP16 support, fast porting and deployment of neural networks in coffee or tensorflow format and low power consumption are key features of the MyriadTM X VPU. Multi-channel capability allows each VPU to be assigned a different DL topology for simultaneous computing. AlexNet, GoogleNet, Yolo Tiny, SSD300, ResNet, SqueezeNet or MobileNet are just a few of the supported topologies. Compatibility with the Open Visual Inference Neural Network Optimization (OpenVINO™) Toolkit from Intel® optimizes the performance of the training model and scales it to the target system at the edge. This results in an optimized integration without tedious trail and error.

The Mustang-V100 series is compatible with a variety of popular operating systems such as Ubuntu 16.04, CentosOS 7.4 and Windows 10 IoT. Due to the low power consumption of 2.5 Watt per VPU, respectively 15 Watt total consumption of the Mustang-V100-MX4, it is especially suitable for low-power KI applications. Besides the Mustang-V100-MX4 with 4 VPU units, ICP Germany offers a PCIe variant with 8 VPU units as well as variants based on the Mini-PCIe and M.2 bus.

Specifications

• AI accelerator card with Intel® Movidius™ Myriad™ Myriad™ X MA2485 VPU
• Single Slot PCIe x2 Interface
• Operating temperature: 5°C~55°C
• Low power consumption: