
7" WVGA LCD
Resistive / Capacitive
VAR-DVK-AM35
Texas Instruments AM3517
Cortex-A8
1 Core
600 MHz
Built-in Real Time Clock
256 MB
256 MB SLC NAND
10 / 100 Mbps Ethernet
4-wire Touch
"1st USB 2.0 Host controller
+ 2nd USB 2.0 Host controller"
Yes
Linux / Android / Windows Embedded Compact 7 installed / Windows CE 6 installed
0 to 70°C
[tooltip]VAR_SOM_AM3517_256R_256N_EC_AC_TP_RT_UH1_UH2_CT[/tooltip]
Supporting the VAR-SOM-AM35 (not included)
18-bit RGB parallel display interface (40-pin FFC/FPC connector for 7" WVGA LCD)
18-bit
RCA connector
DVI
4-wire touch panel, 4-pin FFC/FPC
Capacitive touch panel, header
3.5 mm connector
3.5 mm connector
SD Card Socket
3 ports, Type A connector
VAR-SOM-AM35 evaluation kit with Linux installed
VAR-SOM-AM35 evaluation kit with Windows Embedded Compact 7 installed
VAR-SOM-AM35 evaluation kit with Windows CE 6 installed
VAR-SOM-AM35 evaluation kit with Android installed

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As AI-driven demand accelerated through 2025, memory chip shortages developed as semiconductor manufacturers shifted capacity to large-volume buyers, leaving many sectors, including medical, industrial, edge/IoT, and robotics poorly served. Climbing prices and lengthening lead times, exacerbated by knock-on effects across other SoM components, have created two clear pressure points. SoM vendors relying on outsourced manufacturing have limited flexibility when availability drops, leaving customers facing the same delays. Separately, product developers who chose chip-down architectures over SoM-based designs must procure components on their own. Those buying in smaller quantities are routinely pushed down supplier priority lists, and in many cases cannot get supply at all.







