Why would you train your SMT model on a GPU instance? That's far to expensive. Train on a GPU-less instance, then when done attach to an instance that has a GPU. That's what I did. For deployment 15GB might be enough if you make your SMT models small enough.
W dniu 04.04.2017 o 10:25, liling tan pisze: > Dear Marcin and Moses community, > > Are you running on g2.8xlarge on AWS? > > I think I went to the cheap g2.2xlarge and 15GB RAM is a little too > low for MGIZA++ , taking forever... I think I've got to recreate a new > larger instance. > > Regards, > Liling > > > > > > > _______________________________________________ > Moses-support mailing list > Moses-support@mit.edu > http://mailman.mit.edu/mailman/listinfo/moses-support _______________________________________________ Moses-support mailing list Moses-support@mit.edu http://mailman.mit.edu/mailman/listinfo/moses-support
