Burst Rendering Jobs to GCP at Scale Without Refactoring (Cloud Next '19)

Опубликовано 11 апреля 2019, 21:28

VFX and animation rendering is used to build scenes in nearly every movie we watch on the big screen today! From just a few VFX scenes to a full-length animation movie, major studios and VFX shops all own some render nodes in their data center or machine room. Those render farms vary in size from just a couple of render nodes on a shelf to 10,000s of compute nodes racked in a data center. Those rendering compute resources are often pushed to their limits, so studios and VFX shops are looking at new ways to augment their compute power. In this breakout, we'll discuss how the public cloud can help augment your on-premises compute power, and we’ll highlight the key aspects that you should consider to make your cloud-bursting project a success.

As we developed the workload in GCP with Elastifile, we will demo how easy it is to burst a rendering workflow to GCP, with no pre-existing environment in GCP. We'll also discuss how cloud file storage is crucial for such a workflow and what are the key considerations of the cloud file system that needs to be considered, for example:
- File access protocols
- Shared access
- Performance
- Scalability
- REST APIs
- Data movement between on-premises and GCP

Build with Google Cloud → bit.ly/2K6DZQA

Watch more:
Next '19 Compute Sessions here → bit.ly/Next19Compute
Next ‘19 All Sessions playlist → bit.ly/Next19AllSessions

Subscribe to the GCP Channel → bit.ly/GCloudPlatform

Speaker(s): Adrian Graham, Yannick Guillerm,

Session ID: CMP210


event: Google Cloud Next 2019; re_ty: Publish; product: Cloud - Compute - Compute Engine; fullname: Adrian Graham, Yannick Guillerm;