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In 1.2. 基础关卡, 第 2 关 (the demo which gives 30% A100 computing access), it takes a very long time to set up the "demo" conda environment (approximately 5 minutes); when I install a pip package it takes 25 minutes, for 30 minutes in total.
Mainly, the issue is installing the packages; downloading works okay but when installing the collected packages it takes quite a long time.
If creating the demo conda environment takes time due to the small amount of CPU resources in the virtual machine, maybe it would be a good idea to do either or both of two things:
Tell learners in advance to partition some of their time specifically to only download the conda environment and LLM, or
Create the demo conda environment on all the 10% A100 machines (which should be possible as the download size is ~5 GB, while the total memory available to users is ~40 GB.)
Do you think this a good idea? Thank you very much!
The text was updated successfully, but these errors were encountered:
realharryhero
changed the title
Conda environment and downloading pip packages (torch) is slow on 10% A100
Conda环境和下载pip包(torch)在8GB A100上很慢
Aug 29, 2024
Hello,
In 1.2. 基础关卡, 第 2 关 (the demo which gives 30% A100 computing access), it takes a very long time to set up the "demo" conda environment (approximately 5 minutes); when I install a pip package it takes 25 minutes, for 30 minutes in total.
Mainly, the issue is installing the packages; downloading works okay but when installing the collected packages it takes quite a long time.
If creating the demo conda environment takes time due to the small amount of CPU resources in the virtual machine, maybe it would be a good idea to do either or both of two things:
Do you think this a good idea? Thank you very much!
The text was updated successfully, but these errors were encountered: