we have research project and we would like to use (pay) Colab Pro, but we are from EU (Czech) and you write, that colab pro is only for USA and Canada.
Is there any possibilities to use Colab Pro at EU?
Best regards,
Ladislav
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So I'm using colab and it disconnects me every 12 hours while using GPU. I bought a subscription to colab pro, and still have the same problem. What to do to fix this? Please I need a quick help.
Could any body guide me the GPU memory memory provide by Colab pro +. I have been using colab pro but my ram is getting crashed when i try to train my model. Does Colab Pro+ GPU provides more memory than colab pro. Colab pro provides 12-15 gb memory depends on the GPU type.
Thanks
Please have a look at the image below to find the difference between Google Colab Pro and Colab Pro+.
As you can see, Colab Pro+ provides more memory with better performance than other subscriptions.
everyone!
I upgrade my account in Google Colab to Colab Pro today. However, it says 'Runtime Disconnected' when my code runs every time, and it cannot re-connected automatically. But I didn't encounter this problem when I used the normal Colab (not Colab Pro). Could you help me with my problem? Thanks in advance!
The link for downloading Windows tools is dead.
https://github.com/Ai-Thinker-Open/GPRS_CSDTK
And I tried to build it on ubuntu 16 follow this link
https://ai-thinker-open.github.io/GPRS_C_SDK_DOC/en/c-sdk/installation_linux.html
But there is no option for 8955 chip in CoolWatcher burner. It just has 8808, 8808s, 8809, 8810, 8810-AP, Gallite-8805, Gallite-8806.
So can I add 8955 into CoolWatcher manually? What are the good alternative GPS module which have tools to change the firmware directly? Did chinese AI thinker company dead?
Thanks!
I've been using Google Colaboratory to do practice simple Python coding, and then today, my Google Colab crashed because it says I'm running out of RAM, only 0.77 GB out of 25 GB left. I moved a lot of my notebooks to trash and that didn't help. Can someone please help! Thank you!
RAM isn't consumed by Colab notebooks in Drive. Rather, RAM is consumed by Python variables you define in your notebook.
Can you share a self-contained notebook that reproduces the problem?