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RoHS

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R9A09G011GBG#ACC

Name: Renesas Electronics R9A09G011GBG#ACC
Brand: Renesas Electronics
SKU: 968-R9A09G011GBG#ACC
Price: 57.65 USD
Availability: InStock

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Mouser No:

968-R9A09G011GBG#ACC

Mfr. No:

R9A09G011GBG#ACC

Mfr.:

Renesas Electronics

Description:

Microprocessors - MPU SOC RZ/V2M ASSP NETWORK CAMERA(BULK)

Datasheet:

R9A09G011GBG#ACC Datasheet (PDF)

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In Stock: 125

Stock:: 125 Can Dispatch Immediately

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Factory Lead Time:: 14 Weeks Estimated factory production time for quantities greater than shown.

Quantities greater than 125 will be subject to minimum order requirements.

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Pricing (USD)

Qty.	Unit Price	Ext. Price
	$57.65	$57.65
	$48.68	$486.80
	$47.47	$1,186.75
	$46.39	$4,639.00
	$44.02	$11,093.04
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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Renesas Electronics
Product Category:	Microprocessors - MPU
RoHS:
Core:	ARM Cortex A53
Number of Cores:	2 Core
Data Bus Width:	64 bit
Maximum Clock Frequency:	996 MHz
Package/Case:	FCBGA-841
Operating Supply Voltage:	3.3 V
Series:	RZ/V2M
Mounting Style:	SMD/SMT
Minimum Operating Temperature:	- 40 C
Maximum Operating Temperature:	+ 85 C
Packaging:	Tray
Brand:	Renesas Electronics
Instruction Type:	Floating Point
Interface Type:	Ethernet, PCIe, USB 3.1
Moisture Sensitive:	Yes
Number of I/Os:	177 I/O
Processor Series:	RZ/V
Product Type:	Microprocessors - MPU
Factory Pack Quantity:	126
Subcategory:	Microprocessors - MPU
Tradename:	RZ

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Datasheet

R9A09G011GBG#ACC Datasheet (PDF)

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CNHTS:: 8542319091
CAHTS:: 8542310000
USHTS:: 8542310030
TARIC:: 8542319000
ECCN:: 3A991.a.2

RZ/V2M Vision-Optimized AI Accelerator MPUs

Renesas Electronics RZ/V2M Vision-Optimized AI Accelerator Microprocessors (MPUs) feature a dynamically reconfigurable processor (DRP-AI). The vision-optimized AI accelerator delivers high power efficiency, eliminating the need for heat sinks and cooling fans. The RZ/V2M series offers real-time AI inference and low power consumption for embedded devices for infrastructure, industrial, and retail applications. The MPUs leverage the DRP-AI's power efficiency to achieve power consumption as low as 4W (typical), enable the processors to be used in compact devices, help to minimize equipment sizes, and reduce bill-of-materials costs. The modules also provide opportunities to incorporate AI in embedded devices.