Brand: HPE | Category: Storage Systems
SKU: HPE-R7G45A | Part #: R7G45A | MPN: R7G45A
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The HPE Alletra Storage MP X10000 (File & Object) from HPE is enterprise-grade Storage Systems hardware built for data centers. HPE Alletra Storage MP X10000 is a unified scale-out NAS and object storage platform designed for petabyte-scale unstructured data and AI dataset management. Available in brand new condition. HPE storage systems products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
| Brand | HPE |
| Category | Storage Systems |
| SKU | HPE-R7G45A |
| Part Number | R7G45A |
| Condition | New |
| Model | Alletra Storage MP X10000 |
| Product Category | Unified Scale-Out NAS/Object Storage Platform |
| Storage Architecture | Horizontal scale-out distributed system with unified file and object namespace |
| Protocol Support | NFS v3/v4, SMB 3.x, S3-compatible object API |
| Scaling Capacity | Petabyte-scale with linear performance expansion |
| Node Configuration | Multi-node clustered architecture |
| Data Redundancy | RAID and erasure coding options for fault tolerance |
| Replication | Synchronous and asynchronous replication across geographically distributed sites |
| Snapshots | Point-in-time snapshots for data protection and recovery |
| Encryption | Data-at-rest and data-in-transit encryption support |
| Deduplication | Inline and post-process deduplication for capacity optimization |
| Tiering | Automated and manual data tiering to heterogeneous storage tiers |
| Management Interface | Unified web-based console and CLI for multi-protocol administration |
| Performance Optimization | Optimized for high-capacity sequential workloads and metadata-intensive operations |
| Cloud Integration | S3 API compatibility enabling cloud-native application and service integration |
| Availability | Multi-node failover and non-disruptive upgrades |
| Launch Date | Q4 2023 |
| Target Markets | Media and entertainment, healthcare, research and scientific computing, enterprise AI/ML |