Ingest, training, checkpointing, inference, and long-term retention on one platform, with isolated namespaces for multiple tenants. Flash for speed, HDD for capacity, one control plane over both, on commodity hardware.
A 5,000-GPU cluster running at 98% storage availability loses 876,000 GPU-hours a year, roughly $2.6 million in idle accelerators. Most storage answers this by adding a fast tier in front of a cheap one, which means two software stacks, two failure domains, and a copy of the dataset in each.
HYDRA separates metadata from data and protection from hardware. That separation is what lets the same platform serve a metadata-bound inference fleet and a bandwidth-bound training run without reconfiguration.
Because protection runs in software across shared-nothing nodes, the platform needs no controller pairs, no dual-ported drives, and no vendor-locked media. Open hardware at your buying power, with zero mark-up applied by VDURA.