KL520B1311A

Name: Kneron KL520B1311A
Brand: Kneron
SKU: 827-KL520B1311A
Price: 90.49 DKK
Availability: InStock

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Mouser No:

827-KL520B1311A

Mfr. No:

KL520B1311A

Mfr.:

Kneron

Description:

Processors - Application Specialised KL520 AI SOC

Datasheet:

KL520B1311A Datasheet (PDF)

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This product may require additional documentation to export from the United States.

In Stock: 838

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Pricing (DKK)

Qty.	Unit Price	Ext. Price
	90,49 kr.	90,49 kr.
	68,71 kr.	687,10 kr.
	65,87 kr.	1.646,75 kr.
	58,04 kr.	5.804,00 kr.
	55,20 kr.	13.800,00 kr.
	51,62 kr.	25.810,00 kr.
	49,68 kr.	49.680,00 kr.
2.500	Quote

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Kneron
Product Category:	Processors - Application Specialised
Delivery Restrictions:	This product may require additional documentation to export from the United States.
RoHS:
Mounting Style:	SMD/SMT
Package/Case:	TFBGA-159
Core:	ARM Cortex M4
Maximum Clock Frequency:	300 MHz
Operating Supply Voltage:	1.1 V
Minimum Operating Temperature:	0 C
Maximum Operating Temperature:	+ 70 C
Packaging:	Tray
Brand:	Kneron
Data RAM Size:	512 MB
Interface Type:	GPIO, I2C, I2S, SPI, UART, USB
Moisture Sensitive:	Yes
Processor Series:	KL520
Product Type:	Processors - Application Specialized
Subcategory:	Processors - Application Specialized
Unit Weight:	160 mg

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Datasheet

KL520B1311A Datasheet (PDF)

Compliance Codes

USHTS:: 8471500150
ECCN:: 3A001.a.9

Origin Classifications

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

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

KL520 AI SoC

Kneron KL520 AI (Artificial Intelligence) SoC (System on a Chip) is designed to provide smart-home and IoT applications with on-device Edge AI and Machine Learning. The KL520 combines proprietary software and hardware designs to create a highly efficient and ultra-low-power Neural Processing Unit (NPU). Running AI computations on the end device helps generate real-time insights without relying on the Cloud. The KL520's reconfigurable architecture allows it to run several different Convolutional Neural Networks (CNNs) based on different applications, regardless of its kernel size, architecture requirements, or input size. This feature enables the KL520 to achieve a very high MAC (Media Access Control) efficiency, a key metric for efficient computation.