Case Study: WSC Sports scales machine learning with ClearML

WSC Sports scales ML training with ClearML and Kubernetes

WSC Sports, a company that automatically generates personalized sports highlights, faced the challenge of scaling its complex machine learning operations. They needed a centralized platform to manage numerous parallel experiments, track results for reproducibility, and efficiently deploy training infrastructure at scale. To address this, they turned to ClearML and its AI Development Center service.

The solution implemented by ClearML provided a central hub for experiment tracking and management, which was integrated with Kubernetes for orchestration and ArgoCD for GitOps-based deployments. This combination from ClearML enabled WSC Sports to achieve significant scalability, run parallel experiments to reduce training time, and utilize a self-service model for efficient cloud resource management, ultimately driving innovation in their automated highlight generation.

WSC Sports