HPE GreenLake for Block Storage (Alletra MP B10000)

The HPE GreenLake for Block Storage (Alletra MP B10000) is a modular, all-NVMe enterprise storage array purpose-built for high-performance mission-critical applications requiring consistent low latency and predictable throughput. Launched in Q4 2023, the B10000 delivers 100% NVMe with non-volatile memory express over fabrics (NVMe-oF) connectivity, eliminating legacy Fibre Channel (FC) bottlenecks while maintaining full backward compatibility through dual-transport support. The architecture features AI-driven workload analytics and automatic tiering, enabling intelligent resource allocation across heterogeneous enterprise environments.

The system targets organizations migrating from legacy SAN infrastructure, particularly financial institutions, healthcare systems, and research centers requiring sub-millisecond response times and extreme IOPS density. Built on HPE's proven Alletra platform, the B10000 consolidates block storage, file, and object services within a single fabric-agnostic architecture. The modular design supports incremental capacity expansion from 5.76 TB to multi-petabyte configurations without performance degradation or service interruption.

Key differentiators include machine learning-driven storage optimization that continuously profiles workload patterns, predictive failure analysis reducing unplanned downtime, and transparent data reduction delivering effective capacity multipliers of 4:1 to 8:1 through inline compression and deduplication. Native integration with HPE GreenLake cloud services provides unified consumption models, simplified capacity management, and comprehensive observability across hybrid infrastructure.

Ideal for

• Financial services transaction processing and real-time analytics requiring sub-millisecond latency and 99.99999% availability
• Hospital electronic medical record (EMR) systems and medical imaging repositories demanding deterministic performance and rapid disaster recovery
• High-frequency trading platforms and algorithmic analysis requiring extreme IOPS density and microsecond consistency
• Machine learning model training and inference pipelines benefiting from AI-driven workload prediction and auto-optimization
• Enterprise data warehouse and OLTP database consolidation for mixed workload environments
• Scientific research and genomic sequencing data processing requiring massive parallel I/O and seamless scalability

Technical specifications

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