China Merchants Bank Wins CNCF Contest for AI Platform

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โดย PR Newswire·CN·Read original
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China Merchants Bank, one of China's leading commercial banks, has won the CNCF End User Case Study Contest for KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026, recognizing its unified Kubernetes control plane that lets AI training, fine-tuning, and online inference share nearly 10,000 heterogeneous accelerator cards. The bank brought 99% of its accelerator compute resources under this framework, lifting average utilization from 35% to more than 60% and cutting the cost of processing 1 million tokens by more than 60%. Built with Kueue, KEDA, Prometheus, HAMi, and Fluid, the platform decouples runtimes while sharing infrastructure, and its in-house Twinkle training framework lets five LoRA tenants share one base model instance by default, cutting accelerator resource usage for that setup by 80% and increasing training density fivefold. CNCF CTO Chris Aniszczyk praised the approach as a clear example of composable, vendor-neutral infrastructure delivering measurable efficiency at scale. The bank plans to extend KEDA toward serverless inference that can scale to zero and broaden HAMi-based support for heterogeneous accelerators.

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