实时人工智能系统是一种在动态的环境中，能够利用有限的资源来可靠地完成关键性任务的系统。
A system that can reliably accomplish complex and mission critical tasks under realistic resource limitations in dynamic domains is real time ai system.
将数据分割到不同的集群保证了关键性任务的高可靠性，同时还支持将Hadoop用于更为探索性和分析性的用途。
This partitioning of data into different clusters allows them to ensure high reliability for critical jobs, while still allowing the use of Hadoop for more exploratory and analytic purposes.
他们将数据载入一个生产环境白金集群，只运行仔细监控的关键性任务，并且这些任务在集群里运行前都是受控管理的。
They load information into a production platinum cluster, which runs only mission critical jobs that are carefully monitored and managed before they can run in that cluster.
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