Support jupyter notebooks and GPU computation
Adding support for jupyter notebooks and access to GPUs will enable deep learning and AI related developments much more easier in project idx. While Google colab and kaggle provides this, they lack a good IDE and other features. Also you can look lightning.ai studios for inspiration.
Harikrishnan B
shared this idea
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Vaisakhan Arackal Sanu commented
This is very much improve the current built in model which is really sluggish and breaks because of it.
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Tech Gaming commented
Excellente idée
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John Carbone commented
https://studio.firebase.google.com/studio-8297471099
youre welcome. names tony k cagle -
Batuto Michi commented
Bien
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فايز احمد commented
Good
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M Zulqarnain commented
GPU is very necessary to test modern apps and software. Alongwith it GPU provides Parallel Processing which is crucial thing for Machine Learning and AI development. I give strong suggestion to add GPU capability in FIrebas Studio
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Dustin Krejci commented
Google has this as op wanted already, in a different product of theirs. integration maybe something that they could do from that project to this project.
https://colab.google/ -
Cody Nunn commented
Thanks for the feedback.
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Srimanta Mondal commented
Srimanta Mondal
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Shakil Mosharrof_19 commented
Pleaseeeeee. People will pay for it also.
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Zola Balazs Bekasi commented
They cailm the do multiversal crosscommunications. With? Entity? Biolgiacal? Machines? Other? Solar? Cosmic? No ccnfirmative transcripts of com out in news outlets, even in printshops, ... Its power gain can come from scout apparatus interests, ... 2 better high end GPU motherboard, with right config maybe worth about 4 terraflop/s, around some years ago... Plus a router device ... Check mhz rates... All kind of frequency... FAX.tone. .)
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Dev Avishka commented
I think it will be better for developers who are learning machine learning and AI
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Adi Kol commented
Please
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Minereum #1GOLDTier1 (Minereum) commented
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SHEMBOB KIPRUTO commented
cAN'T WAIT FOR THIS FEATURE
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Roman Nurik commented
Notebooks are supported (e.g. try the Gemini API in a notebook [1]!), but alas our VMs don't currently offer GPU support.