Top 4 Nxp i.MX – Single Board Computers

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1. ADVANTECH

#ad

Advantech ADAM-6050-D, 12DI/6DO IoT Modbus/SNMP/MQTT Ethernet Remote I/O

#adADVANTECH #ad - Intelligent control ability by Peer-to-Peer and GCL function. Flexible user-defined Modbus address. Remote monitoring and control with mobile devices. Group configuration capability for multiple module setup. 12-ch di, 6-ch do, ethernet-based smart I/O.

Brand	ADVANTECH #ad
Manufacturer	Advantec #ad
Height	2.01 Inches
Length	5.91 Inches
Weight	4.41 Pounds
Width	3.35 Inches
Part Number	ADAM-6050-D
Model	ADAM-6050-D

2. Generic

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Google Coral Dev Board

#adGeneric #ad - High speed TensorFlow Lite inferencing. Small footprint. Google edge tpu ML Accelerator Coprocessor. Low power. Nxp i. Mx 8m soc quad-core cortex-A53, plus Cortex-M4F.

Brand	Generic #ad
Manufacturer	Google #ad
Height	1 Inches
Length	5 Inches
Width	4 Inches
Part Number	G950-01456-01
Model	NA

3. NXP

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Microprocessor, 1.15V to 1.3V, i.MX Family i.MX RT Series, MAPBGA-196 Pack of 5 MIMXRT1052CVL5A, 96KB, 500 MHz, 32bit, MIMXRT1052CVL5A

#adNXP #ad - No. Mpu core size : 32bit. Product range : i. Mx family i. Mx rt1050 series Microprocessors. Program memory Size : 96KB. Of pins : 196Pins. Mpu case style : MAPBGA.

Brand	NXP #ad
Manufacturer	NXP #ad

4. Google

#ad

Coral Dev Board

#adGoogle #ad - Cpu: nxp i. Mx 8m soc quad cortex-A53, cortex-m4f. Gpu: integrated C Lite Graphics. For example, in a power efficient manner. Supports tensorflow lite: no need to build models from the ground up. Tensorflow lite models can be compiled to run on the edge TPE.

Ram: 1 gb lpddr4. Scale from prototype to production with a removable system-on-module som. Scale from prototype to production: considers your manufacturing needs. The som can be removed from the baseboard, ordered in Bulk, and integrated into your hardware. Provides a complete system: a single-board computer with SoC + ML + wireless connectivity, all on the board running a derivative of Debian Linux We call Mendel, so you can run your favorite Linux tools with this board. Ml accelerator: Google edge TPU Coprocessor.

A development board to quickly prototype on-device ML products. Performs high-speed ml inferencing: the on-board edge tpu coprocessor is capable of performing 4 trillion operations tera-operations per second tops, it can execute state-of-the-art mobile vision models such as mobilenet V2 AT 400 FPS, using 05 watts for each tops 2 tops per watt. Supports automl vision edge: easily build and deploy Fast, high-accuracy custom image Classification models to your device with automl vision edge.

Brand	Google #ad
Manufacturer	Google #ad
Part Number	G950-01455-01
Model	G950-01455-01