ProductsProduct / feature launchHardware & Compute · MLOps, Tooling & Infrastructure · Training & Scaling1 source · Sep 30, 2026

Expanding AI Storage Access with NVIDIA cuObject and the NVIDIA SCADA Server SDK

AI infrastructure engineers, storage developers, and cloud service providers need fast and secure access to high-capacity file and object storage to support AI...AI infrastructure engineers, storage developers, and cloud service providers need fast and secure access to high-capacity file and object storage to support AI workloads.

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Key points

  • AI workloads increasingly require high-speed data access for training, fine-tuning, inference context, tool calls, searches, and database lookups.
  • Much of this data lies in files and objects stored both on-premises and in...

Sources (1)

  • [1]Expanding AI Storage Access with NVIDIA cuObject and the NVIDIA SCADA Server SDK
    NVIDIA Technical Blog · Sep 30, 07:13 PM
    AI infrastructure engineers, storage developers, and cloud service providers need fast and secure access to high-capacity file and object storage to support AI...AI infrastructure engineers, storage developers, and cloud service providers need fast and secure access to high-capacity file and object storage to support AI workloads.
    AI workloads increasingly require high-speed data access for training, fine-tuning, inference context, tool calls, searches, and database lookups.

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