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by jcannell
777 days ago
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You should be able to do that right now on vast. You just need to rent the gpus yourself with your own on demand instance(s) for your training job. As soon as it finished you then stop or destroy those instance(s) and the GPUs are available immediately (and if there are any other instances queued up in scheduling they will start up). Your actual job doesn't necessarily need to run in the container (if you know what you are doing). (I'm the founder of vast btw - contact us for help on setting this up and/or any feedback on making it an easier/better process) |
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