Why Saturn Cloud?
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Join our upcoming event:
Wednesday, March 10, 2:00 PM
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.
I'm excited to start moving some of my local projects onto Saturn Cloud's AWS because I used to worry about having my data in their public cloud, but now know I have the privacy and security of my own VPC + can use Dask easily for the projects with larger datasets.
I'm a data scientist working with a team of marine chemists on a series of peer review journal articles. Saturn Cloud made getting them set up and going a snap. We now have computational power equivalent to what I have used at a Fortune 50 company at a tiny fraction of the cost, and with a much faster time to get up and going.
Dask has helped my team speed up experimentation and iteration by finishing data preprocessing tasks that used to take hours in a matter of seconds. Saturn maintains a Dask cluster so we don't have to, which frees up time for real data science. It's a huge value add.
Random Forest on GPUs: 2000x Faster than Apache Spark
We trained a random forest model using 300 million instances: Spark took 37 minutes on a 20-node CPU cluster, whereas RAPIDS took 1 second on a 20-node GPU cluster. That’s over 2000x faster with GPUs.