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FuseFX Renders 1,000 Frames in One Hour Using AWS Thinkbox Deadline
技术
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云中间件与微服务
适用功能
- 离散制造
- 产品研发
用例
- 过程控制与优化
- 视觉质量检测
- 边缘计算与边缘智能
服务
- 云规划/设计/实施服务
- 系统集成
挑战
FuseFX, a visual effects company, was facing a challenge of lack of compute power, specifically, finding enough nodes for the compute-hungry process of rendering computer-generated imagery (CGI). The company was growing quickly in terms of size and the scope of its creative ambitions. One of the responsibilities was ensuring that the capacity of the FuseFX content-creation pipeline grows right along with the rest of the company. The company needed a solution that could provide unlimited computing power, the ability to expand rendering nodes quickly, affordably, and essentially infinitely.
关于客户
FuseFX is a company that uses its proprietary content-creation pipeline to build visual effects for episodic television, feature films, commercials, and virtual-reality productions. Founded in 2006, the company operates studios in Los Angeles, New York City, and Vancouver, BC. The company is known for its technical artistry that goes into work like creating eye-popping action sequences in The Tick, for example, FuseFX used Autodesk 3ds Max 3D modeling and rendering software with the Chaos Group V-Ray plugin. The company is growing quickly in terms of company size and the scope of its creative ambitions.
解决方案
FuseFX turned to Thinkbox Software, creators of Thinkbox Deadline, an administration and compute management toolkit for render farms, for help adding cloud capabilities. Working with Thinkbox, FuseFX took advantage of the AWS Portal in Thinkbox Deadline to augment its on-premises render nodes with Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances. The new architecture allowed Thinkbox Deadline to have connectivity into FuseFX's AWS account, so it could spin up instances on demand and then terminate them when they weren't needed. FuseFX relied on AWS Thinkbox Deadline to manage and administer on-premises render resources for lighter workloads. When processing needs, or delivery expectations exceeded the capacity of the company’s on-premises render farm, the solution seamlessly added Amazon EC2 instances as needed.
运营影响
数量效益
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