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MIC-743-AT7A1

Name: Advantech MIC-743-AT7A1
Brand: Advantech
SKU: 923-MIC-743-AT7A1
Price: 7173.84 EUR
Availability: OutOfStock

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Mouser No:

923-MIC-743-AT7A1

Mfr. No:

MIC-743-AT7A1

Mfr.:

Advantech

Description:

Embedded Box Computers AI Inference System Powered by NVIDIA Jetson Thor

Lifecycle:

New Product:

New from this manufacturer.

Datasheet:

MIC-743-AT7A1 Datasheet (PDF)

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More Information

Learn more about Advantech MIC-743-AT7A1

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Pricing (EUR)

Qty.	Unit Price	Ext. Price
	7.173,84 €	7.173,84 €

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Product Attribute	Attribute Value	Select Attribute
Manufacturer:	Advantech
Product Category:	Embedded Box Computers
Product Type:	Embedded Box Computers
Processor Brand:	NVIDIA
Operating Supply Voltage:	19 V to 36 V
Interface Type:	RJ45
Minimum Operating Temperature:	- 10 C
Maximum Operating Temperature:	+ 35 C
Dimensions:	200 mm x 195 mm x 71.5 mm
Brand:	Advantech
Memory Size:	128 GB
Memory Type:	LPDDR5X
Packaging:	Bulk
Processor Series:	Jetson T5000
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 embeds the NVIDIA^® Jetson T5000™, delivering 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.