Copy Sprawl
Teams create multiple copies across different storage types, leading to stranded capacity.
As data moves beyond initial scratch tiers, it often becomes trapped in fragmented silos that hinder collaboration and increase costs.
Teams create multiple copies across different storage types, leading to stranded capacity.
Traditional project storage requires painful forklift migrations every time you refresh hardware.
Manually moving petabyte-scale data between labs and compute resources is slow and error-prone.
High performance for many-to-many workloads common in AI, genomics, and analytics
Flexible economics – Mix SSD, HDD, and object storage while keeping a single namespace and consistent performance policies
Cross-vendor unification – Present a file system with access via NFS, SMB, S3, or CSI, unifying capacity from multiple vendors and generations, without forklift migration
Rich metadata and policy automation – Use custom metadata to add rich context to policies for tiering, protection, access, workflow automation, and AI readiness
