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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
by ctlaltdefeat 8y ago
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.
- Samin100 8y agoWe 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 :)