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DFR1147

Name: DFRobot DFR1147
Brand: DFRobot
SKU: 426-DFR1147
Price: 3967323 IDR
Availability: InStock

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Mouser No:

426-DFR1147

Mfr. No:

DFR1147

Mfr.:

DFRobot

Description:

Computer-On-Modules - COM LattePanda Mu is a micro x86 compute module featuring Intel N100 quad-core processor, 16GB LPDDR5 memory, and 64GB storage. LattePanda Mu exposes extensive pins, including 3 HDMI/DisplayPort, 8 USB 2.0, up to 4 USB 3.2, up to 9 PCIe 3.0 lanes. These

Lifecycle:

New Product:

New from this manufacturer.

ECAD Model:

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More Information

Learn more about DFRobot DFR1147

In Stock: 5

Stock:: 5 Can Dispatch Immediately

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Factory Lead Time:: 4 Weeks Estimated factory production time for quantities greater than shown.

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Pricing (IDR)

Qty.	Unit Price	Ext. Price
	Rp3.967.323	Rp3.967.323

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	DFRobot
Product Category:	Computer-On-Modules - COM
RoHS:
Processor Brand:	Intel
Processor Type:	N100
Installed RAM:	16 GB
Operating Supply Voltage:	9 V to 20 V
Interface Type:	I2C, UART
Dimensions:	69.6 mm x 60 mm
Brand:	DFRobot
Memory Size:	16 GB
Memory Type:	LPDDR5
On-Board Storage Size:	64 GB
On-Board Storage Type:	eMMC
Packaging:	Bulk
Product Type:	Computer-On-Modules - COM
Series:	Mu
Factory Pack Quantity:	1
Subcategory:	Computing
Tradename:	LattePanda

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EU Declaration of Conformity (PDF)

CAHTS:: 8471500090
USHTS:: 8471500150
JPHTS:: 847150000
TARIC:: 8471500000
MXHTS:: 8471500100
ECCN:: EAR99

LattePanda Mu Micro x86 Compute Module

DFRobot LattePanda Mu Micro x86 Compute Module features an Intel N100 quad-core processor, 8 GB LPDDR5 memory, and 64 GB storage. This module provides a wide range of interfaces, including 3 HDMI/DisplayPort, 8 USB 2.0, up to 4 USB 3.2, and up to 9 PCIe 3.0 lanes. The LattePanda Mu compute module is based on the Intel N100 quad-core processor with a 3.4GHz turbo frequency, offering ample performance and multitasking capabilities for various applications. This module is compact in size, measuring 69.6mm x 60mm, thus enabling integration into devices with limited space.