AI acceleration

• 26 TOPS AI Computing delivered by Hailo-8 VPU
• M.2 2242 w/ optional 2280 extensions
• -20~65°C operating temp. w/ optional heatsink
• Typical 2.5W Low power consumption
• Rich AI Dev. Toolkits including Model Library, Model Converter, Runtime SDK Integration

Kneron KL520 Edge AI Module

• Kneron KL520 NPU onboard
• Mini PCI-E card (USB2.0 interface,Full size)
• Accelerator for Edge AI solution
• Maximize power efficiency and performance
• Support widely AI frameworks and CNN models

Computing Accelerator Card with 1 x Intel® Movidius™ Myriad™ X MA2485 VPU,M.2 AE key interface, 2230

• M.2 AE key form factor (22 x 30 mm)
• 1 x Intel® Movidius™ Myriad™ X VPU MA2485
• Power efficiency, approximate 4.5W
• Operating Temperature -20°C to 60°C
• Powered by Intel’s OpenVINO™ toolkit

M.2 2280 to Dual Intel Movidius Myriad X AI module

• M.2 2280 B+M Key to 2 Movidius Myriad X
• Low Power Design
• Support Intel OpenVINO™ Toolkit
• Supported Framework: TensorFlow, Caffe, MXNET
• Complies with CE/FCC Class A

mPCIe to Intel Movidius Myriad X AI module

• mPCIe to 1 Movidius Myriad X
• Low Power Design
• Support Intel OpenVINO™ Toolkit
• Supported Framework: TensorFlow, Caffe, MXNET
• Complies with CE/FCC Class A

• 5 x Google Edge TPU ML accelerator
• 20 TOPS peak performance (int8)
• Host interface PCIe Gen2 x 4
• Low-profile PCIe form factor
• Support Multiple card
• Approximate 15W

• Intel® Movidius™ Myriad™ X VPU onboard
• Ultra compact, Low power consumption
• Hardware acceleration for common deep neural networks
• Scalable for multi video streams edge inference
• 10 times the performance compared to previous generation
• Intel® OpenVINO™ toolkit fully supported

Deep learning inference accelerating miniPCIe card with 2 x Intel® Movidius™ Myriad™ X MA2485 VPU, miniPCIe

• miniPCIe form factor (30 x 50 mm)
• 2 x Intel® Movidius™ Myriad™ X VPU MA2485
• Power efficiency ,approximate 7.5W
• Operating Temperature -20°C~60°C
• Powered by Intel’s OpenVINO™ toolkit