1 open source board using the MC74VHC1G01DFT1G
Real designs built with the MC74VHC1G01DFT1G, from public GitHub projects: a quick way to see how others power, decouple and connect it. Each board comes with its KiCad files, full parts list and a render — and you can simulate its firmware on HardLabs.
NVIDIA-AI-IOTThe MC74VHC1G01DFT1G in open source designs
The gallery holds 1 open source boards using the MC74VHC1G01DFT1G from 1 GitHub repository; a typical one measures about 80 × 100 mm and carries around 232 components.
100% use four copper layers or more, and 0% carry an open source license.
The most starred is My jetson nano baseboard by NVIDIA-AI-IOT.
What boards using the MC74VHC1G01DFT1G are built for
MC74VHC1G01DFT1G: common questions
Where can I find a MC74VHC1G01DFT1G reference design?
Each of the 1 boards on this page is a real design using the MC74VHC1G01DFT1G. Open one to see how it is wired up, with the full BOM, a render of the layout and links to its KiCad files.
How big is a typical board using the MC74VHC1G01DFT1G?
The median is 80 × 100 mm, and 0% are two-layer designs.
What is the most popular open source board using the MC74VHC1G01DFT1G?
By GitHub stars, My jetson nano baseboard by NVIDIA-AI-IOT, with 91 stars.
Can I simulate one of these boards using the MC74VHC1G01DFT1G before building it?
Yes. HardLabs turns a board's netlist and BOM into a working simulation, so you can boot and test firmware against it with no hardware on your desk.