Introduction To Nvidia Rapids- cuDF,cuML Libraries- Run Anything In GPU⭐⭐⭐⭐⭐⭐

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Комментарии
Автор

Thank you Krish
I hope you are doing all RAPIDS tutorials in google colab, because of invitoment setting.
Thanks again

mjacfardk
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Hey i had a question so every time i create a new notebook in colab pro do i have to install this rapids library again and again?

SuperDiganth
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Tested on my personal pc with RTX 2060, its quite promising for my job (corp finance, report monitoring, dashboard, data engineering, and the likes. Glorified number cruncher basically)

My work pc has quadro rtx 4000 and quadro rtx 5000, but windows only due to global policy. Its boost paralel workload like crazy, but WSL is bottlenecking the IO.

For now i havent made the decision to switch from Dask to Cudf (or Dask-Cudf since i got those 2 unit) since most of my workload are IO intensive (interprocesses data are dumped into NVME cache disk for audit purposes), but once WSL solved its IO challenges OR my workplace allow Linux, ill make the call.

ramadhiantoagung
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Please make a video on Saturn cloud. I have used it. It is amazing ❤️

HipHop-czos
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Thank you sm for the tutorial. can you please share your notebook?

dalia
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Thank you so much Krish. Do you know how compatible is the cudf object with all the pandas functions/methods?

jamespaz
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I found your colab notebook can not work to install....Can you tell me how to fix it?

marco
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i'm running on jupyter notebook and facing problems in 3rd chunck in colab, asking for sudop password ...
any hint?

luiscunha
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do we need VS 2019 rather than 2022 (for CUDA)?

peterzerg
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sklearn tSNE is hugely better than Rapids. No doubt RAPIDS is faster(as in my case it brought down time from 15mins-on sklearn to 30 seconds-RAPIDS) but if it doesn't work right, what am I gonna do with speed? Btw nice video.

vaibhavjaiswal
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Does Rapids work on AMD GPU's as well?

amir_mallick
Автор

Krish nvdia Titan has 576 cores please correct it

NaveenKumar-pczc