The HPE Alletra MP X10000 Storage System is a scale-out platform designed for large-scale unstructured data and analytics workloads. Combining object storage, integrated compute, and cloud-based management through HPE GreenLake, it enables efficient storage, processing, and analysis of massive datasets.
Guide price: Price range: £110,000.00 through £150,000.00 Ex. VAT
Modern enterprises must manage rapidly growing unstructured data while ensuring fast access, scalable infrastructure, and efficient data management.
The HPE Alletra MP X10000 Storage System is designed to manage large volumes of unstructured data across hybrid cloud environments. Built on a scalable architecture with object storage capabilities and integrated data services, it enables organisations to efficiently store and access file and object data. Scale-out object and file storage services, metadata intelligence, and policy-based automation make it easier to manage unstructured data growth across analytics, AI, and archive use cases.
Integrated data lifecycle management, metadata search, and policy-based automation allow organisations to manage data growth while maintaining visibility and control across large datasets. That architecture helps teams keep large data sets visible and usable instead of fragmented across separate platforms, reducing friction in data access and lifecycle management. Organisations that do not require scale-out file and object services may also consider the HPE Alletra MP B10000 Storage System, for consolidating structured application storage with lower operational complexity.
The Alletra MP X10000 enables organisations to consolidate large-scale data environments into a unified storage platform, helping IT teams simplify operations while supporting analytics, AI, and modern data workflows.
Our specialists design and deploy HPE Alletra MP X10000 Storage System solutions, helping organisations to manage large-scale unstructured data while simplifying storage operations and analytics access.
The HPE Alletra Storage MP X10000 is a cloud-native object storage platform built for unstructured data, combining flash-accelerated performance, exabyte-scale growth, and data intelligence for analytics and modern data protection workloads.
S3 Object Storage Architecture
Built for modern object workloads using an S3-compatible storage model for large unstructured data sets.
Flash-Accelerated Data Access
NVMe-based architecture improves data ingest and access performance for analytics and protection workloads.
Disaggregated Scale-Out Design
Performance and capacity scale independently to support long-term data growth.
Integrated Data Intelligence
Metadata enrichment helps improve data discovery and downstream AI and analytics workflows.
Exabyte-Scale Expansion
Designed to support very large object repositories without forklift upgrades.
HPE GreenLake Management
Cloud-based operations simplify monitoring, lifecycle management, and platform oversight.
Resilient Data Protection
Erasure coding and distributed object design support durability across the storage environment.
Whether building modern data lakes or scaling object storage for protection and analytics, we help design HPE Alletra MP X10000 environments for performance, durability, and growth.
| Product Family | HPE Alletra |
|---|---|
| Product Series | MP |
| Deployment | Data Centre |
| Target Organisation Size | Large Enterprise |
| Primary Use Case | File & Object Storage |
| Workload Profile | File & Object Data Lakes |
| Storage Performance Tier | Balanced |
| Product Tier | Specialist |
| Latency Tier | Balanced |
| Scalability Model | Scale-Out |
| Architecture Type | |
| Storage Type | All-Flash |
| Access Architecture | Object / File |
| NVMe Support Level | NVMe Drives |
| Maximum Raw Capacity | 100 PB |
| Maximum Effective Capacity | 100 PB |
| Capacity Basis | Family Maximum |
| Drive Bays | 24 |
| Drive Interface | NVMe |
| Supported Media Types | SSD |
| Controller Architecture | Distributed Scale-Out |
| Controller Cache | 1 TB |
| Maximum Expansion Shelves | 24 |
| Supported Protocols | S3 / NFS / SMB |
| Host Interface Types | 100Gb Ethernet |
| Maximum Host Ports | 64 |
| Data Protection | Erasure Coding |
| Deduplication Support | Yes |
| Compression Support | Yes |
| Data Reduction Method | Inline Deduplication + Compression |
| Power Redundancy | Hot-swappable PSUs |
| Cloud Integration | None |
The HPE Alletra MP X10000 Storage System is designed for organisations managing large volumes of unstructured data across data-intensive environments. It combines scale-out object storage, all-flash performance, and simplified management for analytics, AI, digital repositories, and recovery-led platforms.
The X10000 is well suited to data lake deployments where storage must absorb rapidly growing unstructured datasets. It supports analytics environments that need object storage with high growth headroom and simpler management than traditional block-centric platforms.
AI initiatives depend on storing and preparing data for training, retrieval, and inference. The X10000 supports these environments with data-intelligence features such as inline metadata enrichment for AI-ready data pipelines.
Organisations managing archives, digital assets, research content, or large document collections can deploy the X10000 as a high-scale object platform. It suits repositories that need growth, manageability, and fast access on one system.
The X10000 also fits data protection environments where recovery speed matters alongside storage scale. It supports object-based backup infrastructure for organisations that need faster recovery across business applications and cloud-native workloads.
The X10000 is a strong fit where storage strategy is shaped by continuous unstructured data growth. Its disaggregated design supports scaling from terabytes to exabytes on the same architecture.
Our team can help design and deploy HPE Alletra MP X10000 infrastructure for object storage, analytics, AI data pipelines, digital repositories, and recovery-led data platforms.
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Below you’ll find alternative models, suitable software and services that pair with this solution – helping you to avoid compatibility issues, reduce support overhead and deploy with confidence.
Not all deployments fit standard configurations. If you’re weighing up options or want a second opinion on your setup, our team is here to help with honest, straightforward advice backed by decades of vendor knowledge.
Not sure which model is right for your environment? Our specialists can help you select the right platform for your infrastructure requirements.
