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.
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 a PC without GPU.
Hardware Requirements
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NVIDIA GPU with 8 GB (CUDA capability is 4.0 or higher) |
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Recommended GPU for Training NVIDIA GeForce® RTX 2080 Ti (12 GB) or above |
For price-sensitive
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projects a less powerful NVIDIA GPU
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may be used,
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however, this can result in longer processing
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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 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
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times. Additionally, GPU memory requirements may change if additional modules or higher image resolution is required.
For more information on GPU memory usage, please contact support at PEKAT VISION Customer Portal or contact support@pekatvision.com
Embedded Device Hardware Requirements
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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 |