Costly Disruptions
Unplanned business downtime during OS firmware upgrades or structural controller failovers halting transactional operations.
Massively parallel task pools such as virtualization arrays, AI modeling workloads, or backend EDA simulations causing system blockages.
Sophisticated payload vectors intentionally altering live primary enterprise datasets, leaving backups compromised.
Inefficient internal dataset distribution scaling raw compute budgets unnecessarily due to missing hardware data compression layouts.
Struggling with detached storage landscapes split across block (SAN) and file-level configurations (NAS).
Reaching early limits on system drive slots, forcing companies into costly full hardware trade-ins rather than simple unit additions.
Active
Hardware Resilience
Dual 2U server controllers with 24-core AMD EPYC CPUs ensure uninterrupted access with instant passive failover.
Natively process massive block and file arrays over NVMe-oF, iSCSI, SMB, and high-speed NFS over RDMA.
Maximize array usage with inline compression and automated cold data tiering.
Stop unauthorized encryption with WORM, immutable snapshots, and SED support for compliance.
AI & ML Analytics
Direct-to-GPU structures and high NVMe-oF data transfers ensure large machine learning models avoid storage data starvation.
CSI-ready Kubernetes storage systems and reliable IOPS profiles enable fast boot times for up to 1,000 corporate VDI users.
30 GB/s speeds support real-time editing workflows across multi-user 8K video asset timelines without frame dropping.
Natively process millions of concurrent file streams during advanced semiconductor layouts and automated regression tests.