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

Key points

• AI workloads increasingly require high-speed data access for training, fine-tuning, inference context, tool calls, searches, and database lookups.1
• Much of this data lies in files and objects stored both on-premises and in...1

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.

Extractive summary: sentences quoted from the sources.