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MX3-2280-M-4-I

Name: MemryX MX3-2280-M-4-I
Brand: MemryX
SKU: 89-MX3-2280-M-4-I
Price: 5233197 IDR
Availability: InStock

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Mouser No:

89-MX3-2280-M-4-I

Mfr. No:

MX3-2280-M-4-I

Mfr.:

MemryX

Description:

Accelerator Cards 4-chip M.2 module, 22x80 mm, M-Key

Lifecycle:

New At Mouser

Datasheet:

MX3-2280-M-4-I Datasheet (PDF)

More Information

Learn more about MemryX MX3-2280-M-4-I

In Stock: 110

Stock:: 110 Can Dispatch Immediately

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Factory Lead Time:: 25 Weeks Estimated factory production time for quantities greater than shown.

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Minimum: 1 Multiples: 1

Unit Price:

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Ext. Price:

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Est. Tariff:

Pricing (IDR)

Qty.	Unit Price	Ext. Price
	Rp5.233.197	Rp5.233.197
	Rp4.815.275	Rp48.152.750
	Rp4.654.747	Rp116.368.675

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	MemryX
Product Category:	Accelerator Cards
RoHS:
Form Factor:	M.2 2280-M
Operating Supply Voltage:	3.3 V
Minimum Operating Temperature:	- 40 C
Maximum Operating Temperature:	+ 85 C
Dimensions:	80 mm x 22 mm
Brand:	MemryX
Moisture Sensitive:	Yes
Product Type:	Accelerator Cards
Factory Pack Quantity:	80
Subcategory:	Embedded Solutions
Unit Weight:	720 g

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Attributes selected: 0

Filter Document:

Datasheet

MX3-2280-M-4-I Datasheet (PDF)

Compliance Codes

CNHTS:: 8473309000
CAHTS:: 8471500090
USHTS:: 8471500150
JPHTS:: 847150000
TARIC:: 8471500000
MXHTS:: 8471500100
ECCN:: EAR99

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.

MX3-2280-M-x-I MX3 M.2 AI Accelerator Modules

MemryX MX3-2280-M-x-I MX3 M.2 AI Accelerator Modules are powerful, energy-efficient solutions designed to facilitate high-performance Artificial Intelligence (AI) inference for edge servers. Engineered as companion modules, the MemryX MX3-2280-M-x-I modules significantly alleviate the processing load of deep neural network (DNN) computer vision (CV) models from a host CPU. A distinctive dataflow architecture excels in real-time, low-latency inferencing, saving system power.