Can Pix4D use dual CPU?
Pix4Dmapper can fully utilize a single CPU per instance of the application. On systems with more than one CPU, a second project can be processed at the same to take advantage of the second CPU. This could be particularly useful with large datasets that require merging. In this scenario, 2 subprojects could be processed through step 1 in parallel to save time
What is more important CPU clock speed or number of cores?
Both CPU speed and core count are important factors that have a significant impact on total processing time. Refer to Recommended hardware for more information about which CPUs perform well with Pix4D.
Which CPU to buy?
The CPU has the greatest impact on reducing overall processing time for large and small projects. Check the Hardware and Pix4D article for more information on how to select computer components for processing with Pix4D.
Can Pix4D use dual GPU?
Pix4D does not utilize multiple GPUs for processing. There is a marginal benefit to having dual GPU on a system designed for Pix4D. Any benefit is due to the fact that the work of driving displays can be offset to the second GPU. This has minimal impact on overall processing time and the cost of the additional GPU would be better spent on purchasing a better CPU.
Which GPU cards are supported?
GPU processing requires CUDA cores which is only available on NVIDIA cards.
How much RAM to install?
Refer to our hardware support articles for estimates of how much RAM is recommended for various dataset sizes. More RAM can enable you to process larger datasets but can also help improve processing speeds in some cases. The determining factor of how much RAM is required is the number of images, image resolution, and processing options and budget.
For more information check the master hardware article HERE