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英伟达开源Run:ai平台并纳入DSX

AI 总结

英伟达于2026年10月13日将完整的Run:ai平台以Apache 2.0许可证开源,并纳入NVIDIA DSX AI Factory平台,企业无需购买Run订阅即可在Kubernetes上自行部署GPU调度与AI工作负载编排。此次开源包含完整的自托管控制平面,以及KAI Scheduler、GPU Fractioning Operator、KAI Resource Management和Workload Map四个可独立采用的模块。Crusoe、Mirantis、Nebius、OpenNebula Systems、Rafay、Saturn Cloud、Spectro Cloud、vCluster 八家DSX生态伙伴将把该平台集成进各自产品;企业级支持、服务级别承诺与部分合规权益仍为付费选项,免费版用户须自行负责基础设施、升级与运维。

深度见解

GPU调度与算力编排层的开源,可能降低企业采用英伟达AI基础设施平台的软件门槛,把竞争重心推向支持服务与硬件本身。

Image 1: Nvidia Run Is Now Open Source: What’s Free and Paid

Nvidia's open-source Run:ai platform lets IT teams manage GPU scheduling and AI workloads on Kubernetes without a software subscription, while enterprise support remains a paid option. Image generated by ChatGPT.

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Nvidia made its full Run platform open source on Oct. 13, 2026, giving organizations free access to GPU scheduling, resource management, and AI workload orchestration for Kubernetes. Teams can deploy the software in production without buying a Run subscription.

The release includes the self-hosted control plane, not just individual scheduling components. Enterprise support remains a paid option, while organizations using the free version must manage their own infrastructure, upgrades, and operational issues.

#Nvidia#Run:ai#NVIDIA DSX AI Factory Platform#KAI Scheduler#GPU Fractioning Operator#KAI Resource Management#Workload Map#Kubernetes#Crusoe#Mirantis#Nebius#Spectro Cloud

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