AXE-BME20S1AI04A01

Name: Axelera AI AXE-BME20S1AI04A01
Brand: Axelera AI
SKU: 64-AXEBME20S1AI04A01
Price: 460.1 EUR
Availability: OutOfStock

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Mouser No:

64-AXEBME20S1AI04A01

Mfr. No:

AXE-BME20S1AI04A01

Mfr.:

Axelera AI

Description:

Single Board Computers Metis Compute Board 16GB (SBC) with 1x AIPU, 4 GB of RAM and active cooling, Rev1

Lifecycle:

New Product:

New from this manufacturer.

Datasheet:

AXE-BME20S1AI04A01 Datasheet (PDF)

More Information

Learn more about Axelera AI AXE-BME20S1AI04A01

Shipping Alert:

Product available only to OEM/EMS and design business customers. Product is not shipped to consumers in the EU or the UK

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Stock:: 0

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Factory Lead Time:: 12 Weeks Estimated factory production time.

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Pricing (EUR)

Qty.	Unit Price	Ext. Price
	460,10 €	460,10 €

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Axelera AI
Product Category:	Single Board Computers
Delivery Restrictions:	Product available only to OEM/EMS and design business customers. Product is not shipped to consumers in the EU or the UK
Form Factor:	M.2
Core:	Arm Cortex A55, Arm Cortex A76
Maximum RAM Capacity:	4 GB
Operating Supply Voltage:	12 V
Interface Type:	Ethernet, GPIO, I2C, SPI, UART, USB
Minimum Operating Temperature:	- 20 C
Maximum Operating Temperature:	+ 70 C
Dimensions:	170 mm x 170 mm x 25 mm
Brand:	Axelera AI
Memory Size:	4 GB
Number of Cores:	4 Core
On-Board Storage Size:	64 GB
On-Board Storage Type:	eMMC
Power Consumption:	30 W
Product Type:	Single Board Computers
Factory Pack Quantity:	10
Subcategory:	Computing
Tradename:	Metis M.2
Unit Weight:	500 g

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Datasheet

AXE-BME20S1AI04A01 Datasheet (PDF)

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

Metis® Accelerator Cards & Compute Board

Axelera AI Metis^® Accelerator Cards offer a portfolio of M.2 and PCIe cards with a 16GB compute board. The PCIe AI accelerator cards are powered by a quad-core Metis AIPU, providing high-performance inference acceleration, incorporating ease of use, power efficiency, and scalability.