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102110278

Name: Seeed Studio 102110278
Brand: Seeed Studio
SKU: 713-102110278
Price: 38384.32 CRC
Availability: InStock

Images are for reference only
See Product Specifications

Mouser #:

713-102110278

Mfr. #:

102110278

Mfr.:

Seeed Studio

Description:

System-On-Modules - SOM The factory is currently not accepting orders for this product.

Lifecycle:

End of Life:

Scheduled for obsolescence and will be discontinued by the manufacturer.

ECAD Model:

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More Information

Learn more about Seeed Studio 102110278

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Seeed Studio
Product Category:	System-On-Modules - SOM
RoHS:
Processor Brand:	Rockchip
Processor Type:	RK1808
Frequency:	1.6 GHz
Maximum RAM Capacity:	1 GB
Installed RAM:	1 GB
Operating Supply Voltage:	5 V
Interface Type:	Audio, Ethernet, I2S, MIPI-CSI, MIPI-DSI, PCIe, USB 2.0 , Video
Brand:	Seeed Studio
Flash:	16 GB
Memory Size:	1 GB
Memory Type:	LPDDR3
Processor Series:	RK1808
Product Type:	System-On-Modules - SOM
Factory Pack Quantity:	1
Subcategory:	Computing
Unit Weight:	46,050 g

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Filter Document:

Product Overview

BeiQi RK1808 AIoT 96Boards Compute SoM Product Overview (PDF)

Compliance Codes

USHTS:: 8517620090
ECCN:: 3A991.a

Origin Classifications

Country of Origin:: China
Assembly Country of Origin:: Not available
Country of Diffusion:: Not available

The country is subject to change at the time of shipment.

BeiQi RK1808 AIoT 96Boards Compute SoM

Seeed Studio BeiQi RK1808 AIoT 96Boards Compute SoM is a high-powered core board designed for the Artificial Intelligence of Things (AIoT) field. This Seeed Studio System-On-Module (SOM) uses the Rockchip RK1808 System on a Chip (SoC) as the main control chip. The BeiQi RK1808 SoM features the dual-core ARM Cortex-A53 CPU for ultra-low power consumption. This SoM supports single and double-precision operations with the help of the VFP v4 hardware. The BeiQi RK1808 SoM is compatible with Mxnet/Caffe/TensorFlow models and supports mainstream layer type and multi-class framework. This SoM provides easy-to-use development tools, performance estimation, accuracy verification, and PC-side model conversion.