Asus Tinker Edge T. Procesador i.MX 8M.
- SBC development board with Google Edge TPU and ARM processor for AI applications, advanced power design, and easy machine learning model implementation
- More connectivity options for developers
- Cross-platform tools for easy deployment of machine learning models and image recording
Tinker Edge T is a single board computer (SBC) specially designed for AI applications. It features Google Edge TPU, a machine learning (ML) accelerator that speeds up processing efficiency, reduces power demand, and makes it easier to build connected devices and smart apps. With this built-in machine learning accelerator, Tinker Edge T is capable of four teraoperations per second (TOPS) using just 0.5 watts per compute unit. It's also optimized for TensorFlow Lite models, making it easy to build and run common ML models.
Most SBC motherboards only offer a 15W (5V 3A) power design, which can cause device and system instability when multiple devices are connected. Other SBCs have power designs that reduce the performance of their I/O ports. Tinker Edge T has a special power design that, together with a DC head power supply, delivers up to 45 watts of power, enabling stable system operation and full I/O performance, even with multiple devices. connected. In addition, a unique power protection design automatically activates if the supplied current and voltage changes significantly, effectively protecting the board and all connected devices.
Main features...
* SBC development board with Google Edge TPU and ARM processor for AI applications, an advanced power design, and easy implementation of the learning model.
* More connectivity options for developers.
* Cross-platform tools for easy implementation of machine learning models and image recording
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Tinker Edge T is a single board computer (SBC) specially designed for AI applications. It features Google Edge TPU, a machine learning (ML) accelerator that speeds up processing efficiency, reduces power demand, and makes it easier to build connected devices and smart apps. With this built-in machine learning accelerator, Tinker Edge T is capable of four teraoperations per second (TOPS) using just 0.5 watts per compute unit. It's also optimized for TensorFlow Lite models, making it easy to build and run common ML models.
Most SBC motherboards only offer a 15W (5V 3A) power design, which can cause device and system instability when multiple devices are connected. Other SBCs have power designs that reduce the performance of their I/O ports. Tinker Edge T has a special power design that, together with a DC head power supply, delivers up to 45 watts of power, enabling stable system operation and full I/O performance, even with multiple devices. connected. In addition, a unique power protection design automatically activates if the supplied current and voltage changes significantly, effectively protecting the board and all connected devices.
Main features...
* SBC development board with Google Edge TPU and ARM processor for AI applications, an advanced power design, and easy implementation of the learning model.
* More connectivity options for developers.
* Cross-platform tools for easy implementation of machine learning models and image recording