PCB Modular
Google Edge TPU ML Accelerator M.2 to mini PCIe Converter
Google Edge TPU M.2 to mini PCIe Converter (4xTPUs available)
100% adapt for Google Edge TPU ML accelerator
100% adapt for seeed ODYSSEY-X86J4105 (X86) Mini Computer
○ 4 TOPS total peak performance (int8)
○ 2 TOPS per watt
● Integrated power management
● PCIe Gen2 x1 interface
● Standard Half-Mini PCIe card
● Operating temp: -20 to +85 °C
it's capable of performing 4 trillion operations per second (4 TOPS), using 2 watts 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.