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c/run_ai

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Project infodsx-ai-factory/run-ai

About

Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the installer, and the local dev environment.

Open sourceCreated November 10, 2026

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Open-source project

Avatar from GitHubdsx-ai-factory/run-aiView on GitHub
Community-run · not official
Stars
733
Forks
120
Language
Go
License
Apache-2.0

Last commit Nov 10, 2026

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run-ai: An open-source AI workload and GPU orchestration platform for managing shared AI infrastructure on Kubernetes.

What problem it solves Organizations sharing GPU infrastructure need a consistent way to run development, training, and inference workloads across Kubernetes environments. They also need centralized scheduling, resource governance, workload orchestration, and visibility across teams and clusters. Key features AI-aware GPU scheduling — Schedules GPU workloads with fair-share, preemption, bin-packin…

github.comhttps://github.com/dsx-ai-factory/run-ai