NVIDIA任务控制方法 2.5 带来自主恢复至Kubernetes

对上千个GPU进行大规模AI模型培训是一种高吸取操作，其中必须内置监测和自动化，以优化集群的回升和规模化的回升。 早在AI工厂存在之前就已经测量过平均时间到修复(MTTR)和平均时间到故障(MTBF)的数据中心运营商，现在的赌注更高。 现代AI工厂经营。..

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Training large-scale AI models on thousands of GPUs is a high-stakes operation where monitoring and automation must be built-in to optimize cluster resiliency and uptime at scale. This concept isn’t new to data center operators who have measured mean-time-to-repair (MTTR) and mean-time-between-failure (MTBF) long before AI factories existed. Now the stakes are higher. Modern AI factories run…

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