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Coral Mini PCIe Accelerator (G650-04528-01) uses Google's Edge TPU coprocessor to provide local ML inferencing. The half-size card is designed to fit any standard Mini PLIe slot to easily integrate into ARM and x86 platforms running Debian Linux 6.0 or higher.
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The Google Edge TPU coprocessor is an ASIC that adds fast ML inferencing to systems to reduce latency, increase data privacy, and remove the need for constant high-bandwidth connectivity. The Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS in a power efficient manner. It can perform 4 trillion operations (tera-operations) per second (TOPS) using 0.5 watts for each TOPS (2 TOPS per watt). The Accelerator delivers 4 TOPS at 2 Watts of power consumption.
Coral, a division of Google, helps build intelligent ideas with their platform for local AI.
Features
- Small 30mm x 26.8mm x 2.5mm footprint
- Dual A+E keyed
- Google Edge TPU ML accelerator coprocessor
- Power efficiency at .5 watts for each TOPS of performance
- High speed TensorFlow Lite inferencing
- Supports Debian Linux on host CPU
Specifications
- PCIe Gen2 x1 serial interface
- 3.3V ± 10% DC supply
- -40°C to 85ºC (storage) temperature
- -20ºC to 70ºC (operating) temperature
- ESD3 compliance - 1kV HBM, 250V CDM
- 11ºC/W thermal resistance (junction to top of shield can)
- 100ºC maximum Edge TPU junction temperature
Applications
- Embedded platforms
- Mini-PCs
- Industrial gateways
- IoT devices
- Workstations