-Additionally, the underlying file system can be chosen and scaled independently based on the performance and scale (throughput and IOPS) required by the number of compute nodes concurrently accessing the data. For example, you can use an [Avere vFXT](../avere-vfxt/avere-vfxt-overview.md) distributed in-memory cache to support large motion picture-scale renders with thousands of concurrent render nodes, accessing source data that is on-premises. Instead, for data that already is in cloud-based Blob storage, [blobfuse](../storage/blobs/storage-how-to-mount-container-linux.md) can be used to mount this data as a local file system. Blobfuse is only available on Linux nodes, though [Azure Files](../storage/files/storage-files-introduction.md) provides a similar workflow and is available on both Windows and Linux.
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