How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes

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...

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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