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Building a Fine-Grained and Intelligent Resource Management System on Kubernetes

name:He Cao
links:none on file
name:Wei Shao
links:none on file
slides:none on file

Katalyst is a ByteDance-built resource management layer for Kubernetes that raises utilization and performance by colocating online and offline workloads, implementing GPU sharing with 1% compute and 1 MiB memory scheduling granularity for inference, and adding topology-aware scheduling including GPU–RDMA affinity at the PCIe switch level to enable GPUDirect RDMA for distributed training. It also provides practical efficiency features like node overcommitment, instance-size recommendation, and tidal (time-varying) colocation while preserving SLOs.

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