NVIDIA Jetson AGX Orin 64GB Development Board 945137300050000
- 12-core Arm Cortex-…
- 64 GB 256-bit LPDDR…
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Performs high-speed ML inferencing at 400 FPS using 0.5 watts per TOPS on Debian Linux with TensorFlow Lite and AutoML Vision Edge support
The Coral M.2 Accelerator A+E Key adds an Edge TPU coprocessor to any Debian-based Linux system with a compatible M.2 slot. It delivers 4 trillion operations per second while consuming only 0.5 watts per TOPS. Developers can run mobile vision models such as MobileNet v2 at 400 FPS in a power-efficient manner. This board targets makers and engineers building edge AI prototypes.
The accelerator handles TensorFlow Lite models compiled for the Edge TPU and supports AutoML Vision Edge for custom image classification. It runs efficiently on 0.5 watts per TOPS, making it suitable for battery-powered or thermally constrained devices. Workloads requiring higher throughput or different model frameworks will exceed the capabilities of this single coprocessor. Systems without a compatible A+E key M.2 slot cannot use the board.
The board works with any Debian-based Linux distribution that exposes a compatible M.2 A+E key slot, removing the need for proprietary operating systems. TensorFlow Lite models compile directly for the Edge TPU without rebuilding from scratch. AutoML Vision Edge lets users train and deploy custom image classifiers through a cloud workflow. No additional software licences or bundled development tools are included with the hardware.
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| Product | |
|---|---|
| Product type | Single Board Computers |
Yes, the board uses an A+E key M.2 interface, so it installs directly into any compatible slot on a Debian-based Linux system.
Run a TensorFlow Lite benchmark such as MobileNet v2; the coprocessor should deliver around 400 FPS at 0.5 watts per TOPS.
The board ships as a bare M.2 module; thermal pads, heatsinks and mounting hardware are not included and must be purchased separately.
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