Deepstributed is an app. It makes unimaginably easy to cope with three ML processes that usually make life harder.



1. Finding GPU recources



At first we help you to connect your GPUs to our app. Yes, you can manage your experiments from Deepstributed even on your own computing resources. And then, if you want to run more, you can reach for the community GPUs

or GPU-as-a-Software resources.



2. Configuring them



Then we let you specify which resources and preconfigured runtime frameworks you want to use for a certain experiment. PyTorch, Tensorflow, Caffe? Yes, we have them all. And many more.



3. Running experiment smoothly



Finally, you upload your code, data and run the experiment on the cheapest resources possible and no configuration effort. Nice, huh?