NVIDIA Mission Control 2.5 如何為 Kubernetes 帶來自主復原
How NVIDIA Mission Control 2.5 Brings Autonomous Recovery to Kubernetes
NVIDIA Mission Control 2.5 為 Kubernetes 帶來自主復原。文章指出，大規模 AI 模型訓練涉及數千張 GPU，監控與自動化必須內置，以提升叢集韌性和運行時間；資料中心營運者早已使用平均修復時間（MTTR）和平均故障間隔（MTBF）衡量可靠性。
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…
來源：NVIDIA Technical Blog：Agentic AI / Generative AI · developer.nvidia.com