Koordinator v1.7: Empowering Large-Scale AI Training with Network-Topology Aware Scheduling and Job-Level Preemption

Background ​ As artificial intelligence continues to evolve, the scale and complexity of AI model training are growing exponentially. Large language models (LLMs) and distributed AI training scenarios place unprecedented demands on cluster resource scheduling. Efficient inter-pod communication, intelligent resource preemption, and unified heterogeneous device management have become critical challenges that production environments must address. Since its official open-source release in April 2022, Koordinator has iterated through 15 major versions, consistently delivering comprehensive solution