Who it's for
FCSS is built for datasets of 1TiB and up, where cost per TiB and durability matter more than retrieval speed.
AI/ML data teams
Training datasets, model checkpoints, and inference logs pile up fast and are read rarely. Cost per TiB at scale matters more than any single retrieval time.
Media, research & archival institutions
Media libraries, scientific and genomic repositories, and public archives with long-retention, latency-tolerant datasets that need durability over decades.