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MIC-743-AT7A1

Name: Advantech MIC-743-AT7A1
Brand: Advantech
SKU: 923-MIC-743-AT7A1
Price: 12512510 KRW
Availability: InStock

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Mouser #:

923-MIC-743-AT7A1

Mfr. #:

MIC-743-AT7A1

Mfr.:

Advantech

Description:

Industrial Box PCs AI Inference System Powered by NVIDIA Jetson Thor

Lifecycle:

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Datasheet:

MIC-743-AT7A1 Datasheet (PDF)

More Information

Learn more about Advantech MIC-743-AT7A1

In Stock: 2

Stock:: 2 Can Ship Immediately

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Factory Lead-Time:: 16 Weeks Estimated factory production time for quantities greater than shown.

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Pricing (KRW)

Qty.	Unit Price	Ext. Price
	₩12,512,510.4	₩12,512,510

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Advantech
Product Category:	Industrial Box PCs
Memory Type:	LPDDR5X
Dimensions:	200 mm x 195 mm x 71.5 mm
Maximum Operating Temperature:	+ 35 C
Minimum Operating Temperature:	- 10 C
Brand:	Advantech
Packaging:	Bulk
Processor Brand:	NVIDIA
Product Type:	Industrial PCs
Series:	MIC-743-AT
Factory Pack Quantity:	1
Subcategory:	Computing

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Datasheet

MIC-743-AT7A1 Datasheet (PDF)

PCN

Compliance Codes

USHTS:: 8471500150

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.

MIC-743-AT AI Inference System

Advantech MIC-743-AT AI Inference System is embedded with NVIDIA^® Jetson T5000™ and delivers up to 2070 TFLOPS (FP4). This system features a 14-core Arm^® Neoverse V3AE 64-bit SMP CPU architecture, 128GB of LPDDR5X memory, and a pre-installed 1TB SSD. The MIC-743-AT AI inference system integrates 2560 NVIDIA^® CUDA^® cores and 96 5th Gen Tensor cores, with 1.57GHz MAXN. This system supports HDMI, USB 3.2 Gen 2, M.2 AEkey (Wi-Fi^®), and M.2 Bkey (LTE). The MIC-743-AT AI inference system comes with NVIDIA Jetpack™ 7.0 installed and supports multiple use cases for large AI models in generative AI applications. This system handles demanding AI workloads, including Large Language Models (LLMs), Vision-Language Models (VLMs), and video analytics at the edge.