Hardware and Software Requirements

Requirements differ based on how you plan to use the application, as the number of images and modules used can affect significantly the amount of memory required.

However, there are modules that is most cases, will not required powerful GPU or no GPU at all:

• If you use modules for Images Preprocessing, Measurement or Code, in most cases, you can safely use PC without GPU.

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.

If you are require to perform deep-learning training for very large datasets with high resolution and/or running several projects simultaneouslyfor 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:

• NVIDIA GPU with at least 8GB - It’s mandatory that CUDA capability is 4.0 or higher

• PC with at least 16 GB of RAM

• 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

• Windows 10 & 11

• Linux – Ubuntu 20 and higher