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常見問題
分割槽首頁
2026/07/30

Frequently Asked Questions

A: First, use the top and nvidia-smi commands to check CPU and GPU usage, respectively. If the CPU is consistently at 100% and the GPU is idle, it is highly likely that the program is stuck on a GPU call; in that case, please refer to the answer to the previous question.If the issue is not caused by the reasons mentioned above, you’ll need to debug the code. We recommend adding print statements to log output at key lines of code, then running the program to pinpoint the exact line where it’s get

68185 次瀏覽
常見問題
2026/07/30

JupyterLab won't open

If installing certain dependencies causes JupyterLab’s dependencies to be inadvertently upgraded or downgraded, affecting JupyterLab’s operation, you can log in to the instance via SSH and run the command jupyter-lab to verify. If the command returns an error, this confirms the issue. In that case, you can resolve it by reinstalling via pip install jupyterlab and then restarting the instance.

74453 次瀏覽
常見問題
2026/07/30

Memory leak in SD plotting

If you notice continuous memory growth while plotting or memory growth caused by switching models when using the SD WebUI in the AUTOMATIC1111 project, you can refer to the following methods to resolve the issue

99408 次瀏覽
常見問題
2026/07/30

VSCode remote connection failed

If you encounter the following error in the VS output while establishing a remote connection via VS Code, you can refer to the solution below

37015 次瀏覽
常見問題
2026/07/30

Cannot access the GPU

First, use the nvidia-smi command to check GPU usage

78151 次瀏覽
常見問題
2026/07/30

SSH Connection Errors

1. If you encounter issues with SSH-based connections using VSCode, PyCharm, or similar tools, please troubleshoot and resolve them as follows: 2. If you encounter connection issues when using XShell or MobaXterm, please refer to the documentation; there is no need to continue reading the troubleshooting steps below.

77948 次瀏覽
常見問題
2026/07/30

GPU memory was not released

First, use the nvidia-smi command to check GPU usage. If you find that the program has closed but there is still GPU memory in use, this indicates that a residual process is occupying the memory. In that case, free it up as follows:

55454 次瀏覽
常見問題
2026/07/30

Insufficient space on the system drive

Note: Files deleted using the rm command cannot be recovered.

63116 次瀏覽
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常見問題
JupyterLab won't open
Memory leak in SD plotting
VSCode remote connection failed
Cannot access the GPU
Frequently Asked Questions
SSH Connection Errors
GPU memory was not released
Insufficient space on the system drive