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

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Google Colab- colab.research...
rapids.ai/inde...
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Опубликовано:

11 сен 2024

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Комментарии : 26

@mjacfardk 3 года назад

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

@SuperDiganth 3 года назад

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?

@HipHop-cz6os 3 года назад

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

@pjsudharshan 3 года назад

It's not open source. Other companies wouldn't prefer using it. Go for open source tools!

@balajim2107 3 года назад

Vera level bro

@ramadhiantoagung5086 2 года назад

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.

@GujjuRakshit 2 года назад

Does it work on all GPU's???

@ramadhiantoagung5086 2 года назад

@@GujjuRakshit nope.. handful of geforce gpu. Check cuda version requirement. Every newer quadro should work though

@GujjuRakshit 2 года назад

Will it work on Geforce 1650?

@k-bala-vignesh Год назад

@@ramadhiantoagung5086 GeForce RTX 3090, GeForce RTX 3080, GeForce RTX 3070, Geforce RTX 2080 Ti, Geforce RTX 2080, Geforce RTX 2070, Geforce RTX 2060, GeForce GTX 1080 Ti, GeForce GTX 1080, GeForce GTX 1070, GeForce GTX 1060 and GeForce GTX 1050

@vaibhavjaiswal7811 3 года назад

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.

@vaibhavjaiswal7811 3 года назад

done on Google Colab.