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.