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Cloud GPU Service

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Product Introduction
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Logging In to Instances
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Installing NVIDIA Driver
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Using GPU Monitoring and Alarm
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Installing NVIDIA Container Toolkit on a Linux Cloud GPU Service
Using Windows Cloud GPU Service to build a Deep Learning Environment
Implementing Image Quality Enhancement with GN7vi Instances
Using Docker to Install TensorFlow and Set GPU/CPU Support
Using GPU Instance to Train ViT Model
Troubleshooting
GPU Instance Troubleshooting Guide
Troubleshooting Common Xid Errors
Collecting Log for GPU Instances
GPU Usage Shows 100%
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DocumentationCloud GPU ServiceTroubleshootingCollecting Log for GPU Instances

Collecting Log for GPU Instances

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Last updated: 2026-01-19 12:03:22
This document provides guidance on collecting GPU instance logs to assist in analyzing and resolving GPU-related issues. The following instructions outline how to effectively collect these logs.
You can analyze the collected logs yourself or submit them to Tencent Cloud engineers for troubleshooting.

Retrieving Sub-instance dmesg and Serial Port Logs

Execute the command on the user instance:
dmesg | grep -i nv

Collecting NVIDIA GPU Logs

On a system with GPU drivers installed, execute the following command as the root user in any directory:
nvidia-bug-report.sh
After the command is executed, a compressed log file named nvidia-bug-report.log.gz will be generated in the current directory.


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