Object and file storage HPE Alletra Storage MP X10000
Accelerate AI pipelines with a high-performance, intelligent data platform—boosting throughput, maximizing GPU utilization, and turning data into AI-ready insight faster.
Build Production AI—Faster
Unlock faster outcomes with enterprise-grade, intelligent scale-out file and object storage for AI and data protection. Simplify operations and accelerate time to value with a seamless cloud experience everywhere.
Simplify with a unified cloud operational experience
100% cloud-managed infrastructure means you can manage, monitor, and protect your global storage environment from a single cloud console that's accessible from any location, on any device.
Top reasons to choose HPE Alletra Storage MP X10000
Accelerate AI workloads, enrich data with built-in intelligence, and recover from cyber-attacks at flash speed with a disaggregated, cloud managed data platform—engineered for scalable performance, resilience, and efficiency.
From Data Chaos to Actionable Insight
Transform raw data into actionable intelligence with inline metadata enrichment. Accelerate time to first inference and power next-gen AI apps by making data AI-ready in near real time—improving quality, relevance, and performance for RAG, LLMs, and analytics, while lowering infrastructure costs.
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FAQs
What workloads is the HPE Alletra Storage MP X10000 designed for?
HPE Alletra Storage MP X10000 is designed for data-intensive applications requiring extremely low-latency such as AI, machine learning, active data lakes, ultra-fast backup and restore, high-performance computing, and real-time analytics. It provides consistent IOPS and throughput, no matter the volume of data, ensuring reliable performance in critical environments.
What makes the HPE Alletra Storage MP X10000 different from other storage arrays?
HPE Alletra Storage MP X10000 stands out with its Alletra MP-based modular, disaggregated NVMe architecture, which allows for independent scaling of compute from storage. Next, the data intelligence node for the X10000 leverages advanced in-line technologies to instantly extract, enrich, and store metadata and vector embeddings from X10000 objects. AI- and agentic AI-ready datasets are created exactly when you need them. Streamlining pipelines from ingestion to inference using enriched metadata accelerates analytics and AI workloads, including retrieval-augmented generation (RAG) and large language models (LLMs). The GreenLake interface also provides consistent monitoring, protection, self-provisioning, and proactive support across HPE's distributed block, file, and object storage services.
How scalable is the HPE Alletra Storage MP X10000?
HPE Alletra Storage MP X10000 enables independent scaling of performance and capacity. You can start small and expand by adding compute nodes or storage shelves as needed to align with your application and business requirements. The X10000 disaggregated NVMe architecture ensures that performance scales linearly with each addition without disruption—rebalancing overhead or over-provisioning—allowing the system to grow efficiently as workloads evolve.
What are some key HPE Alletra Storage MP X10000 differentiating features?
HPE Alletra Storage MP X10000 is software defined and leverages a containerized architecture featuring Kubernetes-based orchestration. With respect to reliability and data access, the X10000 is designed for enterprise customers and is based on a fault-tolerant design. Object storage support is based on native support for the S3 and S3a APIs. The X10000 log-structured, key-value, store-based design is also optimized for TLC and QLC flash. Support for RDMA for S3-compatible storage can boost performance by up to 2x. Capacity efficiency is based on data compression and support for triple parity erasure coding (within a single array). For data protection use cases, up to 60x data reduction (including deduplication) and industry leading throughput up to 1.2 PB/hour are possible through the integration of data protection accelerator nodes for the X10000. With respect to right-sizing your configuration, the X10000 is built on HPE Alletra Storage MP and benefits from this modular, flexible, disaggregated, shared-everything storage.
The data intelligence node for the X10000 leverages advanced in-line technologies to instantly extract, enrich, and store metadata and vector embeddings from X10000 objects. AI- and agentic AI-ready datasets are created exactly when you need them. Streamlining pipelines from ingestion to inference using enriched metadata accelerates analytics and AI workloads, including retrieval-augmented generation (RAG) and large language models (LLMs).
Can the HPE Alletra Storage MP X10000 integrate with my existing infrastructure?
Yes. The HPE Alletra Storage MP X10000 is designed for broad interoperability. It works with all major hypervisors like VMware, Hyper-V, and KVM, as well as Kubernetes through CSI drivers and top operating systems. It also uses the GreenLake interface, which is also used for HPE block and file storage services. You can use the X10000 alongside other HPE Alletra systems and older storage setups by using the standard S3 and S3a protocols. This makes it easy to adopt, without requiring significant changes to your current setup. Furthermore, the X10000 data intelligence API and built-in software development kit enables instant RAG pipelines to be easily created. With only a few lines of code, it is possible to connect the storage via chat or API with vector databases and LLMs to unleash the value of your unstructured data.