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China Merchants Bank Unifies AI Workloads on Kubernetes, Doubles GPU Utilization
- Platform/SRE — Learn: Interesting case study on consolidating AI training and inference onto shared Kubernetes infrastructure, improving accelerator utilization from 35% to 60%+ — useful reference architecture if evaluating GPU workload scheduling.
- CI/CD — Skip
- Leader — Learn: Notable FinOps result: 60%+ reduction in inference cost per million tokens via platform consolidation — worth reviewing as a benchmark when evaluating GPU infrastructure efficiency investments.
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