Mini PCIe Accelerator datasheet
■The Coral Mini PCIe Accelerator is a Half-Mini PCIe card 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 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.
■The Half-Mini PCIe form-factor allows you to add local ML acceleration to products such as embedded platforms, mini-PCs, and industrial gateways that have an available Mini PCIe slot.
●Features
■Google Edge TPU ML accelerator
▲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
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Datasheet |
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Please see the document for details |
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English Chinese Chinese and English Japanese |
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August 2020 |
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Version 1.5 |
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430 KB |
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