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Supercharge your data strategy with the HPE Alletra MP X10000 – scalable, AI-ready storage empowering IT teams to conquer analytics, databases, and next-gen workloads
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Over the past couple of years, organizations around the world have ramped up their storage setups. Analysts say the rise is being fueled by a growing demand for object-based storage, with IDC stating that it expects this to grow at an average of 15% a year up to 2027.
It’s a huge increase and one driven by three types of workloads: AI implementation, structured databases (including data management), and data analytics.
There’s only one conclusion. Organizations must adopt storage solutions that will provide the ability and capacity to handle these data-intensive workloads. In many cases, that will entail a radical change from their existing setup, and this can be painful. However, it’s also inevitable, such will be the demands as we move to a data-driven, AI-enhanced environment.
In such a world, organizations must invest in products that offer the maximum levels of flexibility. Products such as the HPE Alletra Storage MP X10000, released earlier this year. This flash-based data storage system was designed precisely for these data-intensive workloads, while at the same time providing high levels of scalability.
The product is the latest example of the HPE Alletra Storage MP architecture, supporting block, file, and object storage on a single platform.
Gartner has placed the HP Alletra Storage MP range as a leader in Gartner’s Magic Quadrant for primary storage. The influential research firm particularly praised the range for its software-defined, scale-out architecture, its ability to cope with AI workloads, and its high levels of availability. Gartner user reviews mention data saving through compression and deduplication, reliability, and ease of installation and maintenance.
This latest model in the Alletra range, the MP X10000, is geared towards handling high volumes of data-intensive traffic. Many traditional storage models don’t make the best use of bandwidth as they’re forced to move large volumes of data to different processing stacks. The Alletra MP X10000 avoids that issue by bringing data closer to compute.
Above all, there’s a need to ramp up performance so that organizations can handle the growing number of data‑intensive applications. HPE has responded to that need by implementing a log structured key value store that enables the system to take full advantage of flash media.
One example of the close integration between storage and compute is the collaboration with Nvidia, enabling a datapath for direct memory access (DMA) transfers between GPU memory, system memory, and the HPE Alletra Storage MP X10000. This direct path will further increase system bandwidth, decrease latency, and improve GPU utilization, all important factors in AI workloads.
Many organizations need greater scalability within systems. It’s one of the factors that has been behind the rise of cloud computing.
The HPE Alletra MP X10000 follows in this vein, allowing users to start small and expand the system according to need. The product comes with disaggregated storage and a choice of TLC or QLC drives. This helps to reduce over-provisioning, matching the costs to workloads. Companies can start with a few nodes and easily expand to hundreds, without having to compromise on performance and with minimum disruption.
For teams scaling AI workloads, the data layer often becomes a hidden bottleneck. This article explores how modern storage architectures – designed for high‑ingest, high‑throughput and dynamic data pipelines – enable production‑grade AI operations.
It underscores the need for storage systems that can support real‑time model training, handle both structured and unstructured data and integrate seamlessly into hybrid/edge deployments.
For companies looking to build on their platform, the HPE Alletra MP X10000 integrates closely with HPE GreenLake, giving a cloud-like experience to users. HPE GreenLake Flex allows cloud‑like procurement through a pay‑as‑you‑go, consumption‑based model. Again, this allows for maximum scalability, while paying only for the capacity consumed.
By deploying a 100% cloud-managed infrastructure, companies can manage, monitor, and protect their global storage environments from a single cloud console: one that’s accessible from any location, on any device.
Of course, security is a key element for any organization, which is why the Alletra MP X10000 comes with enterprise‑class data protection. It includes features such as detailed monitoring, versioning, object lock‑based immutability, authentication, data in‑place encryption, TLS encryption, erasure coding data protection, auditing, and accountability capabilities.
In a report on the market, IDC analyst Carol Silwa writes: “Object storage has moved beyond backups and archives to also target data-heavy AI and analytics workloads through newly architected products designed for higher performance and enhanced data management.”
She adds that object storage has moved into new areas and can no longer be considered a low-cost option for backup and archiving. “Newly architected object stores designed for high-performance flash drives have expanded the use cases for object storage to modern data-intensive workloads, including artificial intelligence (AI) and analytics applications. Those applications, with their associated data lakes and repositories, have been pushing the limits of traditional storage systems that vendors designed at a time when scalability needs tended to be more modest than they are today.”
IDC’s research indicates that companies that have historically relied on scale-up, block-based storage for their mission-critical databases may need to consider scale-out file- and object-based products. These will enable them to expand data throughput and storage capacity within their infrastructures.
Both Gartner and IDC have identified several storage requirements for companies going forward. The drive towards scalability, the need to tightly integrate compute and storage, efficient use of flash-based storage, and the ability to handle AI implementations effectively will all be essential elements for organizations in the future.
That’s why the HPE Alletra MP X10000 fits the needs of organizations looking to take advantage of these latest trends in storage – and cope with the increasing demands of the modern business landscape.
