Case Study: Nodalview scales AI photo processing and cuts turnaround with RunPod

Nodalview scales AI photo processing to 1.5M images a month with RunPod

Nodalview, a real estate technology company, faced the challenge of high costs and slow turnaround times for enhancing property photos for its customers. Their users, real estate agents, previously paid around $30 per image for services like virtual staging and waited 24 to 48 hours. To solve this, Nodalview sought a more efficient and cost-effective infrastructure for its AI-powered media enhancement platform and chose to use RunPod's services.

By moving its GPU inference workload to RunPod's Serverless and Pods products, Nodalview gained the ability to select the optimal GPU hardware for different AI tasks, significantly reducing costs compared to AWS. The Runpod solution provided fast scaling to handle intense daily usage spikes, with cold starts measured to be 20-25% faster. This allowed Nodalview to process nearly 1.5 million photos per month, achieve under one-minute turnaround times per image, and grow its AI feature usage significantly among its customer base.

Nodalview