3 ms·
I just taught a class[1] where the idea was that everybody would learn to spin up a GPU-backed AWS instance and learn to train their own tensorflow models. Unf
by AlexCoventry 10y ago
I just taught a class[1] where the idea was that everybody would learn to spin up a GPU-backed AWS instance and learn to train their own tensorflow models.
Unfortunately, I was the only person who was able to launch an instance, though almost everyone was able to log into AWS and go through the pre-launch instance configuration. I think maybe having everyone request a g2 instance at roughly the same time triggered some sort of fraud-prevention system.
Maybe there's some kind of priming people can do to prepare their accounts before the class, but maybe next time we should try Azure.
(The class went mostly OK, though. I just showed people what I intended to help them do themselves.)
[1] https://www.meetup.com/Cambridge-Artificial-Intelligence-Meetup/events/235496478/ https://www.meetup.com/Cambridge-Artificial-Intelligence-Mee...
- niels_olson 10y agoMartin Wicke had a few hundred of us up and running in AWS-powered lab environments, each with our own GPU, at the NVidia GTC in April. Now, they also had a direct line of communication to somebody at AWS to make sure that many GPUs were available. Maybe a call to let them know what you're up to? I'm sure they want people using the gear.
- AlexCoventry 10y agoI don't think the problem was resource availability. Some of my students attempted to start t2's because we weren't going to be doing particularly heavy calculations in this class, and were rejected.