HPE GreenLake for Block Storage – Alletra 9000 NVMe-oF Node

The HPE Alletra 9000 NVMe-oF Node is a purpose-built, disaggregated NVMe-over-Fabrics storage node designed for enterprises demanding extreme performance, ultra-low latency, and continuous availability at scale. Built on HPE's Alletra 9000 platform architecture, this node delivers 100% NVMe flash performance across a shared fabric infrastructure, enabling compute and storage resources to be scaled independently. The system is engineered for six-nines (99.9999%) availability, underpinned by HPE's Data Services Cloud Console for unified, cloud-operational management from anywhere.

The Alletra 9000 NVMe-oF Node participates in HPE GreenLake for Block Storage, transforming traditional CapEx-bound infrastructure into a fully managed, cloud-native consumption experience. Through this model, enterprises gain real-time telemetry, predictive analytics, and AIOps-driven insights delivered via HPE's cloud-based Data Services platform — eliminating reactive management and reducing unplanned downtime. The node architecture supports synchronous replication and peer persistence for active-active stretch clustering across sites, ensuring zero data loss and zero application downtime during planned or unplanned events.

Targeted at the most demanding enterprise, AI/ML, and high-frequency transactional workloads, the Alletra 9000 NVMe-oF Node is optimized for environments where storage latency directly impacts business outcomes. Financial services trading platforms, large-scale SAP HANA deployments, real-time analytics pipelines, and GPU-accelerated AI training clusters all benefit from the node's ability to sustain consistent sub-millisecond latency under full load. Its disaggregated, scale-out fabric model ensures that as workload density grows, performance scales linearly without architectural rearchitecting.

Ideal for

• Mission-critical transactional databases (Oracle, SAP HANA, Microsoft SQL Server) requiring consistent sub-millisecond latency and six-nines availability with zero-RPO/zero-RTO data protection
• AI and machine learning training infrastructure where GPU clusters demand high-throughput, low-latency NVMe-oF storage fabric to eliminate I/O bottlenecks during large dataset ingestion
• High-frequency financial trading and capital markets platforms that cannot tolerate storage-induced latency variance or unplanned outages under peak transactional loads
• Large-scale virtualization and VDI environments using VMware or other hypervisors, leveraging NVMe-oF to maximize VM density and reduce storage-related boot storm latency
• Real-time analytics and business intelligence workloads requiring rapid parallel access to large structured datasets across a shared, scalable NVMe fabric
• Multi-site disaster recovery and business continuity architectures utilizing synchronous replication and active-active peer persistence to maintain continuous operations across geographically separated data centers

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.