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  1. Enterprise Data Storage Solutions | IBM

    A high-capacity, cost-effective family of storage solutions designed to manage large data volumes while reducing carbon impact and energy consumption, aligning with sustainability initiatives.

  2. Elevate Your Data Management Skills with New IBM Storage Scale …

    This specialization consists of a curated collection of our new courses, tailored to provide a thorough understanding of enterprise data storage using IBM Storage Scale.

  3. Enterprise Storage: Still the Best Plan - IBM Mediacenter

    Discover why enterprise storage arrays, such as the IBM DS8900, and their tried-and-true architecture remain indispensable for data center administrators aiming to modernize their …

  4. Data Management Software & Solutions | IBM

    MongoDB Enterprise Advanced with IBM provides enterprise tooling so you can build apps faster and distribute data to where it needs to be, with the freedom to run anywhere.

  5. What is data recovery? - IBM

    Enterprise data recovery is the process of restoring lost, corrupted, accidentally deleted or otherwise inaccessible data to its server, computer, mobile device or storage device (or to a …

  6. Artificial Intelligence (AI) Storage Solutions | IBM

    IBM Storage solutions for data and AI deliver data at scale while maintaining high performance, low latency and managed data access with limited to no downtime.

  7. IBM Simplifies the Enterprise Data Stack for Gen AI Era

    Jun 4, 2025 · With flexibility and adaptability at its core, data teams no longer need to navigate fragmented tooling or incur new technical debt with every new data storage paradigm shift – …

  8. Accelerating AI inference with IBM Storage Scale

    Nov 18, 2025 · IBM Storage Scale’s design makes it ideal for providing persistent space (from a few terabytes to hundreds of petabytes) for KV data, storing it for a virtually unlimited number …

  9. Data warehouse solutions - IBM

    Our cloud native Db2 and Netezza data warehouse technologies are specifically designed to store, manage and analyze all types of data and workloads, without the added complexities …

  10. Data warehouses vs. data lakes vs. data lakehouses - IBM

    Data lakes separate data storage from compute resources, which makes them more cost-effective and scalable than data warehouses. Organizations can add more storage without scaling …