Knowledge base · Articles

Articles

Reference explainers on the platforms and vendors we work with, written from the vendors' own announcements and documentation. Each article lists its sources and the date it was last checked, and is updated as the market moves.

  1. Reviewed

    Dell AI Data Platform explained

    What Dell's AI Data Platform is, its storage engines and data engines, what shipped and what is on the roadmap, how it connects to OpenShift and RAG, and the questions to ask before putting it in a proposal.

    DellAI data platformsStorageNVIDIA

  2. Reviewed

    Do classic data pipelines still matter in the AI era?

    Why batch jobs, regulatory returns and reconciliation pipelines are more important, not less, now that institutions want AI; what the big data acquisitions of 2025 and 2026 say; and how the pipeline's shape is changing.

    Data platformsData pipelinesKafkaLakehouseAI readiness

  3. Reviewed

    HPE's unified data layer explained

    How HPE answers the AI data platform question with three products, the Alletra Storage MP X10000, Data Fabric Software and AI Essentials in Private Cloud AI, what shipped in 2026, and how it compares with Dell's platform.

    HPEAI data platformsStorageNVIDIA

  4. Reviewed

    Red Hat AI Enterprise explained

    What Red Hat AI Enterprise is, which products it brings together, what it does and does not do with data, how it pairs with NVIDIA as the Red Hat AI Factory, and where it fits for an institution in Bangladesh.

    Red HatOpenShift AIAI platformsNVIDIA

  5. Reviewed

    The enterprise AI stack, layer by layer

    The eight layers of a production AI stack above and below the data platform, the products that are popular in each, which ones can run air-gapped, and where our labs and services cover them.

    AI platformsAI gatewaysAgentsAI securityObservability