Timothy Wong | January 25, 2022
Marketing and Advertising
“When a rendering job is running, the customer can select the spot job from the Deadline monitor and launch as many as a hundred instances at a time on demand. Upon completion of the rendering job, the unnecessary instances end.”
Indigo Studios is an aggregator and merchant of world-class video games and interactive adventures. Customers trust Indigo Studios because of their high work quality, impactful stories, and stunning imagery.
AWS Thinkbox Deadline is a service that manages the computing and programming for delivering ranches, which are superior execution PC frameworks working to deliver CGI typically for video games, movies, and TV. AWS Thinkbox Deadline is compatible with Windows, Linux, and MacOS, with over 80 diverse out-of-the-box creation applications.
With the ever-increasing move to Cloud computing for businesses and individuals, rendering can also run in the Cloud, allowing rendering teams to take advantage of the Cloud computing’s benefits.
Teams are enabled with:
Indigo Studios called Triumph Tech to manage the transition to cloud rendering with AWS Thinkbox Deadline.
First, Triumph Tech installed a Thinkbox Deadline monitor for Deadline. To perform rendering jobs, Triumph Tech included a VPN to allow artists on-premises to communicate privately with Thinkbox.
Also, Triumph Tech established a FS Text file system to:
The monitor instance communicates with other dedicated EC2 instances with Amazon Machine Images (AMIs) designed to meet the client’s specifications. Then several main worker instances are launched. When a rendering job is running, the customer can select the spot job from the Deadline monitor and launch as many as a hundred instances at a time on demand. Upon completion of the rendering job, the unnecessary instances end.
Indigo Studios’ team members are able to launch their rendering jobs from the monitor easily for far lower costs and enormous scalability with the AWS Thinkbox Deadline solution. Capital and resources are more efficiently allocated and users are able to control what they produce on-demand, ensuring agile work.
TCO analysis was performed by collecting data from the AWS Billing Console and calculating the maintenance cost of the existing infrastructure, including the time and cost of resources handling capacity planning, software maintenance, and patching.