Case Study: TOOL achieves faster, scalable AI production with RunPod

Tool cuts GPU costs 60% and speeds renders 85% with RunPod

TOOL, a creative and tech studio, faced significant challenges scaling its AI-powered projects due to a complex and expensive patchwork of local GPU machines. The infrastructure required extensive DevOps expertise to manage, causing delays and anxiety with always-on billing. This problem was so acute that the team physically transported GPUs for client projects. To overcome these limitations, TOOL turned to RunPod for its GPU cloud services.

By adopting RunPod's Pods and Serverless products, TOOL created a streamlined workflow for all its GPU work. The solution provided instant scalability and eliminated hardware management. The results were substantial, including an 85% speed increase on renders, a 60% cost reduction on serverless workloads, and the complete elimination of disruptive hardware failures. RunPod gave the studio the reliability and peace of mind to confidently deliver ambitious projects for major clients.

Tool