Case Study: Rendair achieves faster client approvals and scales 13M AI-generated images with Runpod

Rendair scales to 13M+ AI-generated images with RunPod

Rendair, an AI-native architecture visualization platform, needed a reliable and flexible GPU infrastructure to run its AI rendering in production without the burden of owning hardware or being locked into a single configuration. To meet this challenge, they partnered with Runpod.

By utilizing Runpod Serverless for their production endpoints and Runpod Pods for internal testing, Rendair gained a scalable solution that automatically provisions GPU workers only when needed. The results for Rendair have been significant, including seamless scaling over three years with zero migrations, the generation of over 13 million images, and helping to reduce client approval cycles for architectural designs from approximately three months down to just one. The implementation with Runpod provided a robust answer to their infrastructure needs.

Rendair