Vectordash: GPU instances for deep learning

Re:Vectordash: GPU instances for deep learning by ctlaltdefeat on Saturday April 28, 2018 @08:34AM (#16947350)

If I understand correctly, the instances available are containerized instances that users run (i.e, the system matches hosts to guests and takes a cut).

Beyond being dangerous on multiple levels, there doesn't seem to be any guarantee of storage or network bandwidth/traffic. Having a multi-TFLOP GPU to train with is hardly useful if you can't get the training data on the device in a reasonable amount of time, or hold that data in local storage.

[ Parent | on HN ]

Re:Vectordash: GPU instances for deep learning by Samin100 on Sunday April 29, 2018 @02:47AM (#16950967)

We ensure each instance has ample storage (min 50GB), internet speeds, and hardware specs such that the GPU is the bottleneck! If a user isn’t satisfied with an instance, then there’s no charge whatsoever :)

[ Parent | on HN ]