Vray cloud rendering cost2/22/2024 ![]() ![]() We followed the three Cloud FinOps principles - inform, optimize and operate - to create a holistic strategy to optimize our spending and drive sustained governance going forward. This would help us not only optimize but also provide better visibility and the render-hour usage across the rendering farm, for greater savings. With a variety of compute available from Google Cloud, we decided to take advantage of it for the farm. ![]() We realized that we could do better than a one-size-fits-all model. Wasted usage on rendering due to non-optimized workflows and cost controls Minimal visibility into cost and render-hour usage across the farm ![]() Missed opportunities for automation and consolidation Poor infrastructure optimization with fixed farm size and one-size-fits-all machines Post-migration, we recognized inefficiencies in the deployed architecture, which was not well suited for the economics of the pay-as-you-go cloud model. Here’s our lift-and-shift deployed architecture on Google Cloud:ĭuring the migration, our goal was to provide as-is SLAs to our customers without compromising the quality of the pipelines. The Render Farm uses Deadline to dispatch jobs to the nodes we completed migrating it from on-premises to the cloud In Q2 2022. The Automation farm is managed using OpenCue to dispatch jobs to the nodes We have two different “farms'' that we use, one primarily for automation tasks and the other for rendering tasks with: We’ve been working with the Google Cloud team to complete the transition from a hybrid cloud to a Unified Public Cloud strategy. We worked closely with Google Cloud to optimize our render platform, driving an estimated ~$9M of savings on an annualized basis. Last year, we performed a lift-and-shift migration to the cloud, but because we hadn’t optimized our workloads for the cloud, our costs bubbled up substantially. But creating these 3D renders requires significant computation (rendering) capabilities. ![]() At a high level, suppliers provide us with product images and information about dimensions, materials, etc., and we use them to create photorealistic 3D models and generate proprietary imagery. At Wayfair, we have content creation pipelines that automate some portions of 3D model and 3D scene creation, and render images from those models/scenes. ![]()
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