Deep Learning on Rescale
Deep Learning is a sub-field of machine learning that focuses on predictive models that have large numbers of parameters, typically organized as a layered computational graph. It is fast becoming the preferred model choice for large datasets with samples that have many features.
Rescale provides GPU-based HPC nodes and clusters for training deep learning models in the cloud. Rescale supports batch training of models as well as interactive data analysis through Rescale Desktops. A wide variety of GPU configurations are available from lower cost previous-generation K80s to the latest multi-GPU P100s with NVLink interconnect. Clusters can be preconfigured with your choice from the most popular deep learning frameworks.
In this page, we will present to you different Rescale job examples for four different applications. Click on the Import Job Setup button to clone an example job into your account, which you can then submit. Click on the Get Job Results button to review the full setup and results of a completed example.
For more information on how to set up and submit a Basic Job, please refer to the tutorial here.
For more information on how to set up and launch a Desktop Session, please refer to the tutorial here.