Requirements differ based on how you plan to use the application, as the number of images, resolution, modules used can affect significantly the amount of GPU memory required.
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If you use modules for Images Preprocessing, Measurement or Code, in most cases, you can safely use PC without GPU.
Hardware Requirements
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NVIDIA GPU with at least 8GB (CUDA capability is 4.0 or higher) |
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Supported embedded hardware: Jetson Modules (JetPack 4.4 & 4.5) |
Software Requirements
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Windows 10 |
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Linux – Ubuntu 18.04 and latest |
For price-sensitive use-cases it is possible to use a less powerful NVIDIA GPU card,
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however, this can result in longer processing
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times or
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possibly cause the PC to run out of memory.
Software Requirements
| Info |
|---|
Windows 10 |
| Info |
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Linux – Ubuntu 18.04 and latest |
If you are require to perform deep-learning training for very large datasets with high resolution and/or running several projects simultaneously for the same machine, it may require a stronger GPU with more memory than we recommend for typical cases. Therefore, this should be considered when planning your project.