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NVIDIA releases open-source gds-diag for GPUDirect Storage diagnostics

The new gds-diag utility helps admins assess and optimize GPUDirect Storage on Linux systems.

NVIDIA announced gds-diag, an open-source command-line utility that checks GPUDirect Storage environments and suggests improvements.

The tool runs on Linux with Python 3.8 or newer and does not depend on GPU or CUDA Toolkit versions, though GPUDirect Storage itself requires a datacenter-class GPU and CUDA 12.2 or later.

gds-diag offers subcommands grouped into end-to-end checks, pre‑install validation, post‑install verification, and deep diagnostics for containers and specific mount points.

An optional AI agent skill adds a natural‑language interface that can interpret intent, orchestrate multi‑step workflows, and apply model‑guided reasoning to propose remediation.

The utility is distributed via the NVIDIA Magnum IO GitHub repository and can be installed by cloning https://github.com/NVIDIA/MagnumIO.git.

What it means for you

Admins can use gds-diag to quickly identify configuration issues and improve storage bandwidth for GPU workloads. The natural‑language agent makes diagnostics accessible without deep command‑line expertise, supporting both on‑prem and cloud deployments.

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