Hardware Recommendations for Pix4D
Similar to other software developers, Pix4D keeps track of the system requirements, which you can use to make sure your system's hardware is compatible with their program. Compared to many other companies, Pix4D appears to maintain this list quite current with every product update and even provides some advice regarding when advanced hardware can be useful.
Processor
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The fastest CPU for Pix4D should be Intel's newest flagship, the Core i9 14900K 24 Core, while the i7 14700K would still perform excellently in this capacity; both are quicker than previous series of Intel processors. If you'd rather use AMD CPUs, their Ryzen 7000 Series chips also function well.
This higher-core processor offers the best performance in Pix4D when working with bigger maps, and it supports additional system memory, which can help with extremely large projects. The CPU is used differently in each step of the Pix4D process. Pix4D uses multiple CPU cores rather well overall, while the impact of more cores varies depending on the processing step. However, clock speed is also essential; consequently, the best processor options strike a compromise between both of them.
The website (link) for Pix4D provides an explanation of how the CPUs are used in each stage.
Memory (RAM)
Even on large image sets, we discovered that actual memory usage is fairly low when using Pix4D's default processing options. With over 2600 images (each about 10 MB in size), the largest set we have tested so far required up to 20 GB of memory at its peak for processing. However, the quality settings you choose within Pix4D also have a significant impact on memory usage, so memory usage can vary greatly based on your preferences and workload.
However, Pix4D doesn't provide a lot of information regarding memory usage. But based on what we've found on their website and our own testing, we can say that a project's RAM requirements vary depending on a number of factors, including Quantity of pictures, than Image size (resolution) and lastly, Pix4D quality parameters
We also always recommend thinking ahead to what you want to do in the future. For example, we strongly advise considering whether you plan to increase the resolution of your photos or the quantity of images you work with when determining how much RAM you need. If anything, overdo it a little to make sure you never run out of memory. That might significantly decrease the performance of the application!
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Video Card (GPU)
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Although the CPU handles the majority of the processing in Pix4D, certain parts of the calculations can be processed more quickly if you have a GPU that supports CUDA. Only NVIDIA graphics cards are compatible with this boost due to the CUDA requirement; additionally, only one GPU can be used at a time. That implies all you need for Pix4D is a single video card, ranging from mid-range to high-end.
You will want an NVIDIA graphics card that supports CUDA and has a somewhat larger VRAM capacity if you wish to utilize those capabilities. Here, the GeForce RTX 40 Series GPUs are a good choice; the GeForce RTX 4070 SUPER 12GB and RTX 4080 16GB versions are compatible with our Pix4D workstation.
Storage Device
Primary Drive: OS/Software (SSD/NVMe): Includes your operating system and the base Pix4D installation. An SSD is highly recommended as it will greatly improve how fast the OS and programs startup, but you can also upgrade to a faster NVMe drive for a small performance benefit. The recommended storage for installation of software is not more than 10 GB.
Since the primary drive will primarily be used to store Windows and software, including all software (except large Game), it doesn't need to be that large for the majority of users; a 500GB-1TB SSD will be enough for Drive C.
Secondary Drive: Project Files (Platter/SSD/NVMe) Having a second storage (either SSD or HHD) for storing assets and effects is a wonderful alternative if you have additional money to spend or keep a lot of them around for use on different projects. Of course, an internal or external hard drive is a more cost-effective option than a high-capacity SSD if you need more mass storage and preservation.
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