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Distributed ML Platform

1 post · Oct 2025

What this trail covers

Discord has developed a platform around Ray to simplify distributed ML for engineers. This platform includes custom CLI tooling, orchestration with Dagster and KubeRay, and an observability layer called X-Ray. The focus is on improving developer experience for distributed ML, enabling complex models and scaling training jobs across multi-GPU clusters. The platform has evolved to support multi-GPU clusters and ease the transition from single-node experiments to production-ready distributed comput

All Discord trails
  1. From Single-Node to Multi-GPU Clusters: How Discord Made Distributed Compute Easy for ML EngineersThis 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.