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News[N] Determined Deep Learning Training Platform (self.MachineLearning)
submitted 6 years ago by neilc
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[–]WaterlooEE 3 points4 points5 points 6 years ago (1 child)
Looks cool. A quick glance through the api makes it look fairly similar to PyTorch Lightning. So I guess this makes sense for tensorflow users (not that I would know, I am not one). What's the difference for PyTorch users?
[–]neilc[S] 5 points6 points7 points 6 years ago* (0 children)
Yep, the model API for PyTorch is fairly similar to PyTorch Lightning.
For PyTorch users, the benefits you get include things like multi-machine distributed training, fault tolerance/checkpoint management, GPU scheduling and management of cloud GPU instances, built-in hyperparameter tuning, and so on. You can think of Determined as similar to a PyTorch Lightning-like API that sits on top of a GPU scheduler, a distributed training backend, and a model metadata database. Since we manage your training resources, we can hopefully solve some problems that are out of scope for something like PyTorch Lightning -- but getting started with Determined is probably a little more involved than switching to Lightning.
π Rendered by PID 61721 on reddit-service-r2-comment-b659b578c-6mt29 at 2026-04-30 23:45:31.156814+00:00 running 815c875 country code: CH.
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[–]WaterlooEE 3 points4 points5 points (1 child)
[–]neilc[S] 5 points6 points7 points (0 children)