Home > Storage > ObjectScale and ECS > Industry Solutions and Verticals > Scalability Guidelines for Deep Learning with High-Speed Object Storage > NFS Volume Mounting
In this paper ECS Object Storage is used to store the dataset that the TensorFlow benchmark will read. A NFS cluster is also used for scripts, binaries, and logs. This requires low bandwidth and must support NFS locks for consistency and proper visibility of changes. This generally uses the default mount options and is mounted with the following command on each physical server:
mount -t nfs <nfs_server>:/exports /mnt/nfs