In this talk, we will explore how Reddit has invested in Ray and KubeRay as core technologies within its internal ML Platform to scale ML training and serving workloads. We will dive into Reddit’s tooling and workflows around Ray and Kuberay to vastly improve developer velocity and scale ML training workloads to achieve a 6x reduction in model training time. We will also discuss the team’s work to extend our inference platform using Ray Serve to support scalable development, deployment, and serving of fine-tuned open-source LLMs.
Ray Summit 2024
In-Person Agenda
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