Data Science at Internet Scale with GPUs in the Cloud
Every day, data scientists are pushing the boundaries of what’s possible with machine learning. This comes with the requirements of larger datasets and more computational power.
GPUs are the de-facto hardware for training deep neural networks, but did you know that GPUs also provide massive speed increases for the rest of your data science workloads?
Join this webinar to hear from data scientists at NVIDIA, DoorDash, and Saturn Cloud as they discuss how data science on the GPU is a game-changer for your organization. We will discuss RAPIDS, a suite of open-source packages for data science on GPUs, and show a demo of how model inference with RAPIDS provides significant performance gains over scikit-learn on CPUs.
Aaron Richter, Senior Data Scientist @ Saturn Cloud
Subhan Ali, Senior Developer Relations Manager @ NVIDIA
Stas Sajin, Senior Data Scientist @ DoorDash