• 2 x Intel Myriad X VPUs
• Low Power Design
• OpenVINO Toolkit Support
• M.2 2280 B+M Key Form Factor
• Complies With CE/FCC Class A
• AI Edge Computing Ready
The EGPA-I201 enhances all vision inference applications such as facial recognition, vehicle registration plate recognition, and many other machine vision applications. Thanks to its low power consumption and high performance, it is an ideal solution to implement in edge AI devices.
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EGPA-I201
Module Type | M.2 2280 to Dual Intel Movidius Myriad X AI module. | Form Factor | M.2 2280 B-M. | Input I/F | PCI Express 2.0 x 1. | TDP | 8W. | Dimensions | (W) 22.8 x (L) 80.0 x (H) 22 mm With Heatsink. | Weight | 34.12 g With Heatsink. | Support Framework | TensorFlow, Caffe, MXNET. | Temperature | 0°C to 60°C Operating temperature. | OS Support | Windows 10 & Ubuntu 18.04 (64-bit). |
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