Which GPU(s) to Get for Deep Learning?

This great article explains the difference GPU in the market. Deep learning is a field with intense computational requirements and the choice of your GPU will fundamentally determine your deep learning experience. With no GPU this might look like months of waiting for an experiment to finish, or running an experiment for a day or more only to see that the chosen parameters were off and the model diverged.

https://lnkd.in/dG9XrbH

#GPU
#deeplearning

✴️ @AI_Python_EN
❇️ @AI_Python

A Full Hardware Guide to Deep Learning

By Tim Dettmers: https://lnkd.in/emiGW6p

#ai #deeplearning #gpu #gpus #hardware


❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN

Before buying or purchasing GPU, do take a look at how they perform do always take a look at what is the balance between what you pay and how much compute power you get.

#deeplearning #computation #performance #gpu

❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN

#DeepLearning is fun when you have loads of GPUs!

Here's a 256GB , 8 GPU cluster we will soon be testing as well.

#gpu #nvidia #research
#machinelearning
✴️ @AI_Python_EN

Despite attempts at standardisation of DL libraries, there are only a few that integrate classification, segmentation, GAN's and detection. And everything is in #PyTorch :)

https://lnkd.in/eTsqKWZ

#ai #objectdetection #machinelearning #gpu #classification #dl

✴️ @AI_Python_EN

https://lnkd.in/e2awdVx
Not to be confused with (https://lnkd.in/eydGDPu), mmdetection supports all the SOTA detection algorithms.
#pytorch #gpu

✴️ @AI_Python_EN

Very good news. Dataproc now lets you use NVIDIA GPUs to accelerate XGBoost in a Spark pipeline. This combination can speed up machine learning development and training up to 44x and reduce costs 14x when using XGBoost. With this kind of GPU acceleration for XGBoost, you can get better performance, speed, accuracy, and reduced TCO, plus an improved experience when deploying and training models. Spinning up elastic Spark and XGBoost clusters in Dataproc takes about 90 seconds.
https://gweb-cloudblog-publish.appspot.com/products/data-analytics/ml-with-xgboost-gets-faster-with-dataproc-on-gpus/amp/

#spark #machinelearning #xgboost #nvidia #gpu

❇️ @AI_Python_EN