Huawei OceanStor Pacific 9950 Scale-Out NAS

The Huawei OceanStor Pacific 9950 is a scale-out NAS architecture designed for organizations managing petabyte-scale unstructured data across hybrid cloud environments. Built on distributed storage principles, the system combines object storage (S3-compatible) and NAS file protocols in a unified platform, eliminating the need for separate infrastructure tiers. The 9950 employs erasure coding, inline deduplication, and intelligent tiering to optimize capacity utilization while maintaining consistent high-throughput performance across concurrent workloads.

The platform addresses critical operational demands in media production, genomic sequencing, medical imaging research, and scientific computing where petabyte datasets require simultaneous multi-user access, complex permission models, and long-term retention compliance. Its distributed metadata architecture eliminates single points of failure and scales performance linearly with capacity expansion, supporting workloads from 100TB to 10PB+ within a single logical namespace.

Notable architectural innovations include support for AI-optimized data layouts, native integration with Huawei Cloud storage services, and purpose-built acceleration for machine learning inference pipelines. The system launched in Q1 2024 targeting enterprise organizations transitioning from legacy monolithic storage arrays to cloud-native, horizontally scalable infrastructure.

Ideal for

• Media and entertainment asset management: storing and serving 4K/8K video masters, project files, and archives with guaranteed multi-user concurrent access and frame-accurate metadata indexing
• Genomics and life sciences research: managing raw sequencing data, variant databases, and imaging datasets from multiple concurrent instruments with HIPAA-compliant retention and audit trails
• Medical imaging centers: housing PACS repositories, CT/MRI archives, and AI model training datasets while maintaining sub-millisecond access latency for diagnostic workstations
• Scientific research institutions: supporting collaborative projects across physics, climate modeling, and astronomy where distributed teams require shared petabyte repositories with version control
• Machine learning training platforms: provisioning large-scale unstructured datasets for deep learning pipelines with object storage APIs optimized for parallel tensor operations
• Long-term archival and compliance: maintaining WORM-locked regulatory archives with granular retention policies and cryptographic verification for regulated industries

Technical specifications

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