Requirements differ based on how you plan to use the application, as the number of images
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, 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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Minimum 16 GB of RAM |
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Minimum recommended NVIDIA GeForce® RTX 2080 Ti |
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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, However, this can result in longer processing time or possible cause the PC to run out of memory.
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If you are require to perform deep-learning training for very large datasets with high resolution and/or running several projects simultaneouslyfor 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.
Hardware Requirements
In most cases, for fast processing and convenient usage we usually recommend the following setup:
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PC with at least 16 GB of RAM
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Ideally, at least NVIDIA GeForce® RTX 2080 Ti
We also support embedded hardware such as: ARM based devices like NVIDIA TX2 or Xavier.
Software Requirements
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Windows 10
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