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Product ID:
385721
Identifier:
B08QLXKJB7
Brand:
Model:
G650-03324-01
Shipping Weight:
0.18 lbs
Manufacturer:
Google LLC
Shipping Dimension:
5.35 x 4.13 x 1.26 inches
₱18,709
+ ₱ 150
Shipping Cost from USA to Philippines inclusive of custom fees.
Cost too high? Check weight and dimension on product details and click "I think this is wrong?" link.
Get it between 2026-05-23 to 2026-05-30.
Additional 3 business days for provincial shipping.
- Price and Stocks may change without prior notice
- Packaging of actual item may differ from photo shown
Cash upon Pick-up - orders grand total must not exceed ₱5,000.00. Order will be pickup at Galleon's Office.
Cash on Delivery - orders grand total must not exceed of ₱10,000.00 and must not exceed ₱5,000.00 for provincial areas. See all payment methods
The Coral Dev Board Mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing.
The board includes the Edge TPU coprocessor, which 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 (tera-operations) per second (tops), using 0.5 watts for each tops (2 tops per watt).
Provides a complete system: a single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux we call Mendel, so you can run your favorite Linux tools with this board.
Supports TensorFlow Lite: no need to build models from the ground up. Tensorflow Lite models can be compiled to run on the Edge TPU.
Supports AutoML Vision Edge: easily build and deploy fast, high-accuracy custom image classification models to your device..MediaTek 8167s SoC (Quad-core Arm Cortex-A35).2 GB LPDDR3 and 8 GB eMMC memory
The Coral Dev Board Mini is a single-board computer that enables you to quickly prototype and deploy an embedded system with on-device ML inferencing. This board can also serve as an evaluation device for the Coral Accelerator Module, which allows you to integrate the Edge TPU into your custom PCB hardware as a surface-mounted module. The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner: each one is 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. Technical specifications: MediaTek 8167s SoC (Quad-core Arm Cortex-A35), IMG PowerVR GE8300 integrated GPU, ARM TrustZone Security, Wi-Fi 5, Bluetooth 5.0, 8 GB eMMC, 2 GB LPDDR3, USB 2.0 Type-C OTG, HDMI 1.4a (micro), MIPI DSI display, MIPI CSI camera, 3.5 mm headphone jack, Digital PDM microphone, 2.54mm 2-pin mono speaker terminal, 40-pin GPIO expansion header, Mendel Linux flashed in factory.
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