The ascent of Generative AI (GenAI) is reshaping the business landscape, sparking innovation and unlocking new opportunities. Yet, the sheer volume of data required by AI applications presents logistical challenges. From synthetic data generation to retrieval-augmented generation workflows, the necessity for intelligent, large-scale solutions continues to rise.

According to Gartner’s forecasts, the demand for on-premises, key-value-based object storage is set to skyrocket. By 2029, 50% of unstructured data will be stored this way, growing from less than 10% in 2025. Additionally, storage capacity demanded by GenAI will triple by the year 2029.

HPE recognizes the surge in demand for flexible, high-performance storage systems driven by GenAI’s broader adoption. As data scales, businesses must navigate long-term retention, regulatory compliance, and the need to deliver fast, high-quality AI insights, which legacy systems cannot support.

Legacy storage infrastructures hit performance bottlenecks, lack scalability, and struggle with indexing and metadata management—each creating barriers to AI. They were not designed with AI’s demands in mind, thus limiting organizational agility and increasing operational costs.

To address these challenges, HPE presents Alletra Storage MP X10000, designed specifically for AI data tasks. The X10000 marries high-performance object storage with intelligent data services. It supports fast data ingest, seamless scaling, and offers real-time data insights.

Key features of the X10000 include intelligent metadata enrichment, inline scanning for AI readiness, and the Model Context Protocol (MCP) that integrates AI models with existing data sources. The setup collaborates with NVIDIA, optimizing unstructured data pipelines and accelerating AI inference across systems.

Through its strategic design, the X10000 facilitates linear performance scaling. Each additional node boosts capacity, allowing firms to tackle extensive data points without interruption. It supports a disaggregated design for independent scaling and employs first-class protocol layers for optimal performance.

By offering these capabilities, the X10000 not only enhances AI infrastructure but also supports future advancements in AI technology. HPE ensures that businesses can lead in data management, transforming insights into competitive edges efficiently and rapidly.**