[lmeyerov]

Graphistry co-founder here. We do that every day with nvidia-docker & AWS.

The real challenge is doing this on 100+ GPUs and leveraging multitenancy for an additional 100X+ economy of scale. We're actively working on it, and in my experience, this seems like a classic scheduling area where different domains will want to do it differently. However, even there, it'll end up something like "plugin a new user-level mesos scheduler x", and Nvidia is working on exactly that.

I'll wait for someone at Baidu or the Titan lab to blow up those numbers by another 100-1000X ;-)

Edit: If this sounds like a cool problem, we're leveraging GPU cloud computing and visual graph analytics for event analysis (e.g., core tool for teams in enterprise security). We would love help, esp. on cloud infrastructure or on connecting the eco-system together! Contact [e-mail] and we'll figure something out :)