Coral Usb Accelerator Brings Powerful Ml (Machine Learning) Inferencing Capabilities To Existing Linux Systems Featuring The Edge Tpu, A Small Asic Designed And Built By Google, The Usb Accelerator Provides High Performance Ml Inferencing With A Low Power Cost Over A Usb 30 Interface For Example, It Can Execute State-Of-The-Art Mobile Vision Models, Such As Mobilenet V2 At 100+ Fps, In A Power-Efficient Manner This Allows Fast Ml Inferencing To Embedded Ai Devices In A Power-Efficient And Privacy-Preserving Way Models Are Developed In Tensorflow Lite And Then Compiled To Run On The Usb Accelerator Edge Tpu Key Benefits: High Speed Tensorflow Lite Inferencing Low Power Small Footprint Features Google Edge Tpu Ml Accelerator Coprocessor Usb 30 Type-C Socket Supports Debian Linux On Host Cpu Models Are Built Using Tensorflow Fully Supports Mobilenet And Inception Architectures Though Custom Architectures Are Possible Compatible With Google Cloud Specifications Arm 32-Bit Cortex-M0+ Microprocessor (Mcu): Up To 32 Mhz Max 16 Kb Flash Memory With Ecc 2 Kb Ram Connections: Usb 31 (Gen 1) Port And Cable (Superspeed, 5Gbs Transfer Speed) Included Cable Is Usb Type-C To Type-A Coral, A Division Of Google, Helps Build Intelligent Ideas With A Platform For Local Ai
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