Koordinator is an open source project, born from the accumulated experience of the container scheduling industry in Alibaba.
This article discusses the official release of Koordinator v1.1 and an in-depth interpretation and explanation of its new features.
This article introduces the new features of Koordinator v1.2.0.
This article focuses on how Koordinator helps facilitate the sharing of CPU resources between different types of workloads.
This article introduces Koordinator's support for running Hadoop YARN jobs by utilizing koord-batch resources alongside other Kubernetes pods.
This article introduces Koordinator’s support for Hybrid Development of Kubernetes and YARN and Xiaohongshu’s Practical Experience Sharing of the Hybrid Development.
This article introduces the release of Koordinator v1.5.0, which includes continuous optimization features such as Pod-level NUMA alignment policy, Terway Net QoS, and Core Scheduling.
The article introduces Koordinator v1.6 as a tool that enhances heterogeneous resource scheduling capabilities in AI and machine learning scenarios.
The article introduces Koordinator v1.7, which enhances large-scale AI training through network-topology aware scheduling and job-level preemption features.
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