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This message keeps popping out after I used two GPUs simultaneously for two notebooks from the same account for about half an hour (Colab wasn't running for 12 hours): Photo of pop-out message
You cannot currently connect to a GPU due to usage limits in Colab.
It has been about two hours since I last used colab, but the message still pops up. It would be really great if I know for how long does this lasts. I think it could be 12 hours but would want to know from someone who has experienced this. In my case, the GPUs are available, but due to recent excess computing and running one cell for long, I have reached my usage limit for gpus. However, I want to know that after how much waiting will colab let me use its GPUs again.
Update: It has been more than 2 days and colab still doesn't allow me to use GPUs. The usage limit message still pops out.
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In the free version, runtimes are limited to 12 hours and RAM is also limited to 16 GB. In the pro variant, it is possible to select a high-memory option and thus use 32 GB of RAM. The Google Pro+ variant now offers even more options to run Deep Learning relatively inexpensively without a cloud server or local machine.
To avoid hitting your GPU usage limits, we recommend switching to a standard runtime if you are not utilizing the GPU. Choose Runtime > Change Runtime Type and set Hardware Accelerator to None. For examples of how to utilize GPU and TPU runtimes in Colab, see the Tensorflow With GPU and TPUs In Colab example notebooks.
Limitations of Google Colab while working with Files One important caveat to remember while using Colab is that the files you upload to it won't be available forever. Colab is a temporary environment with an idle timeout of 90 minutes and an absolute timeout of 12 hours.
GPU allocation per user is restricted to maximum 12 hours at a time. The next time you can use it will probably be after 12 hours or once a user has given up GPU ability. You may want to check Google Colab Pro which has some advantages over the non-paid version.
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