Hardware Solutions
Below is a list of recommended hardware specifications for working with the Huygens Software efficiently. The amount of RAM is often rate limiting as it needs to be able to load and process a complete dataset in order not to compromise image quality. The use of Nvidia graphics cards is highly recommended, as GPU acceleration increases the performance of most processes in Huygens significantly.
The presence of an Nvidia graphics card is essential when using AI-based segmentation in Huygens Object Analyzer. For segmenting an image of 1GB, a small GPU card can work, though we would recommend to have at least a GPU card with specifications according to the medium GPU option. A GPU card with more videoRAM is advised if larger files need to be segmented. Nvidia cards for AI segmentation need have a compute capability of 8 or higher.
Huygens works on any Linux, Windows and Mac OS computers. Please keep in mind that Nvidia cards are only supported by Linux and Windows.
A NVMe SSD is advised as it can also be used for as fast virtual memory.
We offer advise on which types of workstation or server will be the best solution for your image processing, visualization and analysis. We can also help you to find the best way to upgrade a current system. Here are some options to consider if you are into purchasing or upgrading a system:
Laptop systems may contain:
- AMD Ryzen 5 / Intel Core i5
- 8-16 Gb of RAM
- small GPU or medium GPU
Basic Desktop systems may contain:
- Intel i7 / Intel Xeon CPU
- 32 or 64Gb of RAM
- medium GPU
Workstations may contain:
- Dual Intel Xeon CPU
- 256Gb of RAM
- One or two large GPU
(Rack)Servers may contain:
- Dual Intel Xeon CPU
- 1TB of RAM
- One or more extreme GPU
GPU benchmark results can be found here.
Please note that these are only guidelines. For more detailed advise you can contact us.