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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》
利用SSD/HDD等对章鱼的数据集进行缓存加速
数据集缓存主要是在任务较多或者多机任务频繁数据通信导致网络带宽不够的情况下能够加速数据集的访问,模拟这种场景可通过WonderShaper工具限制节点带宽https://www.51cto.com/article/717545.html
由于节点闲置硬盘资源有限,目前数据集缓存开启的入口放在管理端,暂时只支持缓存用户数据集不支持缓存预置数据集。开启数据集缓存时,根据实际情况填写参数,由于个别节点并没有足够的磁盘空间用来缓存,因此一般需要填写节点标签选择特定的一些节点而不是所有节点。
数据集开启缓存后,通过以下命令查看是否已经缓存到节点,以及查看所填写的目录是否有数据。
创建训练任务时,缓存数据集节点的亲和性调度策略分数较高,是否调度到缓存节点还取决于其他调度策略分数综合