Always pay attention to the maximum supported memory for any system you purchase.ĭragonfly performance will benefit from faster clock speed CPUs and from more cores.
Many budget systems will not permit you to upgrade beyond 32 GB of RAM. Note that when building a system, you may wish to have a future upgrade path. If you will work with 25 GB scans, then you should arrange for 100+ GB of RAM). We suggest you equip your workstation for 4x the size of the largest scan that you wish to work with. Some image processing tasks are very demanding of memory. PCIe 3.0) and the power capacity of the power-supply unit (e.g. The constraints are the interface of the motherboard (e.g. When building a system yourself, you must confirm that your system is compatible with your preferred graphics card.
If you want maximal performance, then you should exceed these specifications and purchase whatever your budget permits. Some remote connections and virtual machines, most notably Windows Remote Desktop and VMWare, are not supported by Dragonfly.ĭragonfly needs a high-performance workstation in order to handle the image processing and visualization demands of large data.
64-bit Windows 7, 64-bit Windows 8 or 8.1, 64-bit Windows 10.Ħ4-bit Linux operating system, starting from Ubuntu 18.04.However, you should note that performance and productivity will likely be limited and that such a system may not be able to handle larger sized research datasets.
If you plan to use Dragonfly's Deep Learning solution, you should also review the requirements in the topic Deep Learning Requirements.ĭragonfly can run on a workstation with the following minimum specifications.