Announcing AWS Deadline Cloud, a New Service to Transform Content Rendering Pipelines Brie Clayton April 5, 2024
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Fully managed service makes it easy to set up a cloud-based render farm in minutes, empowering customers to rapidly scale their pipelines for 3D graphics and visual effects and incorporate into their workflows industry innovations like generative AI-created content; Animaj, Company 3, and SideFX are among the customers and partners who have used AWS Deadline Cloud within their rendering workflows
Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the availability of AWS Deadline Cloud, a fully managed service that helps customers set up, deploy, and scale rendering projects in minutes, so they can improve the efficiency of their rendering pipelines and take on more work. With Deadline Cloud, customers creating computer graphics, visual effects (VFX), or innovating their pipelines to incorporate artificial intelligence-generated (AI-generated) visuals can build a cloud-based render farm-aggregated compute-that scales from zero to thousands of compute instances for peak demand, without needing to manage their own infrastructure.
Customers can use built-in customization tools and integrations with digital content creation (DCC) software, such as Autodesk Arnold, Autodesk Maya, Foundry Nuke, and SideFX Houdini, to tailor their render pipelines for specific projects and directly render from preferred tools for use in design, modeling, animation, visual effects, and more. With Deadline Cloud, creative teams can accelerate production timelines by running more projects in parallel, without worrying about capacity limits. Deadline Cloud offers built-in budget-management capabilities that help customers understand costs with high granularity on a project-by-project basis, and with no upfront costs. Customers only pay when they are rendering. To get started with Deadline Cloud, visit aws.amazon.com/deadline-cloud.
The final frames for VFX and other digital media are generated through a process called rendering that takes 2D and 3D digital content data and computes an output, such as an image or video. The demand for rendering high-resolution content developed by creative studios and generative AI tools has led many organizations to set up their own on-premises infrastructure-render farms-that combine the power of hundreds, even thousands, of computing nodes to process rendering jobs. Comprised of queues (submitted render jobs) and fleets (groups of nodes that process queues), render farms can take weeks or even months to build and deploy and require significant planning and upfront commitments to procure hardware and configure complex infrastructure. Organizations must decide between provisioning for peak demand, which can result in costly infrastructure sitting idle between delivery periods, or running into fixed capacity constraints that can limit the number of concurrent projects they can take on, delay projects, or lead to missed delivery commitments. Render farms also require companies to connect software from multiple, specialized DCC tools like software for animation or games cinematics. If the software in the asset pipeline is not compatible or current with the render management tool, studios need to remain on older software versions, compromise their desired workflow, or introduce additional processes to integrate the software. Additionally, organizations need to track and manage costs to stay on budget, and often in-house tools lack capabilities to easily track project costs. While some organizations use render management software like AWS Thinkbox Deadline, many studios don't have the in-house staff or IT resources to configure or manage their own cloud-based compute infrastructure and must look externally for alternative compute and IT support. As a consequence, organizations may lack scaling capacity to easily grow their business.
With Deadline Cloud, customers in industries like media and entertainment, architecture, and engineering can transform their content-renderingpipelines for projects spanning films, television shows, commercials, games, industrial design, and more-without upfront investments or ongoing costs between projects. Customers can access Deadline Cloud through the AWS Management Console and use a guided process to build their render farm, including providing the size and duration of their projects to determine instance type and configuring permissions. Deadline Cloud automatically provisions Amazon Elastic Compute Cloud instances and manages the network and compute infrastructure, simplifying customers' ability to scale compute based on demand. For customers that have already invested in on-premises compute, Deadline Cloud can integrate with and extend their existing compute and use it to execute rendering jobs. Customers can use built-in integrations with popular DCC tools, relieving them of manually setting up and licensing rendering projects with each DCC and reducing the time and effort required to tailor their rendering pipelines for each job. For example, an animation studio can combine DCC and generative AI techniques to render compute-intensive scenes with Deadline Cloud at scale for an upcoming film, without worrying about impacting other projects or provisioning additional infrastructure. Deadline Cloud's dashboard provides customers a comprehensive view to analyze logs, preview in-progress render jobs, and easily review and control costs. With Deadline Cloud, customers can link their own third-party software licenses with the service, or they can easily engage usage-based licensing for rendering with existing DCC tools and render engines. The scale and elasticity of Deadline Cloud-through its pay-as-you-go model-means customers do not need expensive hardware or have to s
