Handling Hyper-Scale Growth and AI Workloads with Artifactory

How do you scale artifact management for an era of AI-driven engineering? In this session, learn how a lean DevOps team inherited a legacy Artifactory instance and transformed it into a hyper-scale, cloud-native artifact platform capable of handling modern AI/ML workloads. The speakers will walk through the transformation journey—from aging infrastructure and operational bottlenecks to a scalable, automated, and performance-optimized Artifactory cluster. Discover how NVIDIA scaled to support 10x artifact growth, massive binaries, and unpredictable CI/CD bursts, all driven by cutting-edge GPU development and AI test pipelines. You’ll gain insights into architectural evolution, observability patterns, and DevOps practices that enabled the team to tame explosive scale while improving reliability and efficiency.