Although NeuroCAAS runs on the public cloud (AWS), we found that across a wide variety of datasets and algorithms analysis could be run quickly at low cost (see our paper). This low cost lets us subsidize all of user-run analyses up to a pre-set cap ($300) that can be adjusted with an appropriate request. To request a cap increase, please contact us at firstname.lastname@example.org.) If you know how long your analysis will take to run, you can further reduce the cost of analysis (see individual analysis pages).
For the range of datasets we tested (into ~100s of gigabytes), we found that running data on the cloud was faster than existing options, even accounting for upload and download time (see our paper). Try it out for yourself!
The purpose of NeuroCAAS is to separate the scientific work of selecting the right analysis and interpreting data from the engineering work of installation and infrastructure maintenance. The responsibility to understand the algorithm being used, and to format data and parameters accordingly rests with the user.