[dmitrim]

Many training and inference workloads run in the cloud or on remote servers and profiling them is not straightforward. Having a SaaS makes things much simpler, and also enables additional features, such as team access and sharing. As far as the data privacy is concerned, profiles do not contain any model or raw data, just resource usage, execution statistics, etc., which is acceptable for most of the users to send to a third party. And for the business model, in my opinion, SaaS allows to better monetize the offering and ensure better and up-to-date end product in this case. But this is open, we may consider a free client-side version as well at some point.