Shifting On-Premise Deep Learning to Cloud with Rescale

Shifting On-Premise Deep Learning to Cloud with Rescale

In this webinar, we discuss shifting on-premise deep learning workloads to Rescale in a reproducible manner using GPU-enabled Docker containers. This webinar shows how to customize containers to run your workload and then deploy them to Rescale’s new P100-based systems.

This webinar includes a live demonstration, showing attendees how to:

  • Build deep learning model training workloads into a custom container
  • Target TensorFlow, PyTorch, or Caffe as the containerized framework
  • Deploy these custom containers to Rescale on an ad hoc basis through our web portal or programmatically using our API and CLI tools
  • Benchmark performance of these frameworks on Rescale’s new NVLink, P100 systems

This webinar also kicks off the Deep Learning Kickstart Program, which provides $1,000-5,000 in Rescale hardware credits for P100 use to approved applicants.To apply, please email DLKickstart@rescale.com with the following information: name, job title, company name, company email, and which deep learning frameworks you are interested in. Note that the kickstart program is limited to users representing a valid operating company.

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