From Single-Node to Multi-GPU Clusters: How Discord Made Distributed Compute Easy for ML Engineers

This post details the evolution of Discord's distributed ML platform, moving from single-node experiments to supporting multi-GPU clusters. It highlights the development of custom CLI tooling, orchestration with Dagster and KubeRay, and the X-Ray observability layer built on top of Ray to improve developer experience and enable scaling of training jobs.