USE CASES
High-throughput parallel storage for AI training workloads.
Low-latency data access for real-time inference pipelines.
Persist KV cache and session context beyond GPU memory.
FEATURES
Per-tenant QoS, namespaces, and access policies.
REST, Kubernetes CSI, and CLI interfaces.
Direct memory access for maximum AI/HPC throughput.
MLEC and client erasure coding for data durability.
S3-compatible object storage interface.
AES-256 encryption at rest and in-flight across every tenant data path.
Automatically moves data across NVMe, SSD, and object tiers by access pattern.
Performance
Up to 2.7 TB/s per rack for demanding workloads.
Observability
Real-time fleet telemetry and monitoring.
Freedom to choose your preferred hardware vendors.
Enterprise support from the VDURA expert team.