Coral M.2 Accelerator

Coral M.2 accelerator with A+E key is an M.2 module that brings the Edge TPU ML accelerator to existing systems and products. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: it’s capable of performing 4 trillion operations per second (4 TOPS) using 2W of power-that’s 2 TOPS per watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second. This on-device ML processing reduces latency, increases data privacy and removes the need for a constant internet connection. The M.2 form-factor allows to add local ML acceleration to products such as embedded platforms, mini-PCs and industrial gateways that have a compatible M.2 card slot.

Note: Refer to datasheet in the ATTACHMENTS section for more info. regd. the product.

Features:

1. Easy to use.
2. Easy to connect.
3. Google edge TPU ML accelerator (4 TOPS total peak performance (int8))
4. 2 TOPS per watt
5. Integrated power management
6. PCIe Gen2 x1 interface
7. Operating temperature range -20 to +85°C

Package Includes:

1 x Coral M.2 Accelerator

For more info., click below.

Application notes

• Get started with the M.2 or PCIe Accelerator
• Manage the PCIe module temperature

Software guides

• Model compatibility on the Edge TPU
• Edge TPU inferencing overview
• Run multiple models with multiple Edge TPUs
• Pipeline a model with multiple Edge TPUs

API references

• PyCoral API (Python)
• Libcoral API (C++)
• Libedgetpu API (C++)

Downloads link

• Edge TPU compiler
• Pre-compiled models
• All software downloads