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About
RAPIDS AI
RAPIDS is a suite of software libraries for executing end-to-end data science & analytics pipelines entirely on GPUs.
Note from the editor

RAPIDS is a suite of software libraries for executing end-to-end data science & analytics pipelines entirely on GPUs.

Editors
Go to the profile of Randy Gelhausen
Go to the profile of Nick Becker
Go to the profile of John Zedlewski
John Zedlewski
Director of RAPIDS Machine Learning, NVIDIA
Go to the profile of Mark Harris
Mark Harris
Distinguished Engineer at NVIDIA. Views expressed are my own, not necessarily NVIDIA's.
Go to the profile of Brad Rees
Brad Rees
Graph Analytics @ rapids.ai NVIDIA AI Infrastructure
Go to the profile of Allan Enemark
Allan Enemark
Curiosity powered designer & sustainability advocate.
Go to the profile of Bartley Richardson
Go to the profile of Paul Mahler
Paul Mahler
Data Scientist.
Go to the profile of Alex Ravenel
Alex Ravenel
Program Management @ RAPIDS, NVIDIA
Go to the profile of Even Oldridge
Even Oldridge
I’m a research scientist working at NVidia on deep learning for tabular data.
Go to the profile of Belen Tegegn US
Go to the profile of Taurean Dyer
Go to the profile of Sophie Watson
Sophie Watson
NVIDIA Data Science
Go to the profile of Alex Ravenel
Go to the profile of Jess Mailinh
Jess Mailinh
I teach developers how to create technical content that isn’t boring. Love to share useful info. BPD & mental health advocate. First-gen. INFJ. 🐦@jessmailinh
Writers
Go to the profile of Nick Becker
Go to the profile of Randy Gelhausen
Go to the profile of Josh Patterson
Josh Patterson
Working on something new. HIRING! Ex NVIDIA, White House PIF, Accenture Labs. Started RAPIDS.ai.
Go to the profile of Matthew Rocklin
Matthew Rocklin
I maintain open source Python tools, notably Dask. I also run @CoiledHQ . Additionally I try to be a decent human, and help the world from melting.
Go to the profile of Allan Enemark
Allan Enemark
Curiosity powered designer & sustainability advocate.
Go to the profile of Jiwei Liu
Jiwei Liu
Data scientist @ rapids.ai NVIDIA AI Infrastructure
Go to the profile of Paul Mahler
Paul Mahler
Data Scientist.
Go to the profile of Brad Rees
Brad Rees
Graph Analytics @ rapids.ai NVIDIA AI Infrastructure
Go to the profile of Karthikeyan Rajendran
Karthikeyan Rajendran
Product Manager@NVIDIA, AI Infrastructure
Go to the profile of Keith Kraus
Go to the profile of Bianca
Go to the profile of Bianca Rhodes US
Go to the profile of Even Oldridge
Even Oldridge
I’m a research scientist working at NVidia on deep learning for tabular data.
Go to the profile of Taurean Dyer
Go to the profile of Raghav Mani
Raghav Mani
Head of Product Management for Healthcare AI @ NVIDIA
Go to the profile of Yi Dong
Go to the profile of Peter Andreas Entschev
Go to the profile of Vibhu Jawa
Vibhu Jawa
Data Scientist on the RAPIDS team at NVIDIA
Go to the profile of Jacob Tomlinson
Go to the profile of Divye Gala
Go to the profile of John Zedlewski
John Zedlewski
Director of RAPIDS Machine Learning, NVIDIA
Go to the profile of Mark Harris
Mark Harris
Distinguished Engineer at NVIDIA. Views expressed are my own, not necessarily NVIDIA's.
Go to the profile of Naphade
Naphade
Dr. Milind Naphade is the chief technology officer of AI Cities at NVIDIA, where he leads technology strategy for the company’s Metropolis platform.
Go to the profile of Corey Nolet
Corey Nolet
Corey Nolet is a Data Scientist & Senior Software Engineer at Nvidia, where he leads the development of distributed machine learning algorithms on RAPIDS cuML
Go to the profile of Iván Venzor
Iván Venzor
Advanced Analytics (DS & ML) Deputy Director at Banregio Bank; Neural Networks Lecturer at UANL; PhD; MSc Astrophysics; MBA; BSc Computer Science
Go to the profile of Ritchie Ng
Ritchie Ng
About: ritchieng.live • Notes: ritchieng.com • Guides: deeplearningwizard.com
Go to the profile of Alex Fender
Alex Fender
Accelerate graph analytics and data science at NVIDA AI infrastructure. Technical Lead for cuGraph in rapids.ai
Go to the profile of Daniel Han-Chen
Daniel Han-Chen
I love to make machine learning algorithms faster! I’ve helped make NVIDIA RAPIDS TSNE run 2,000x faster than Sklearn, taking 5 seconds compared to 3 hours!
Go to the profile of Adam Thompson
Go to the profile of Bartley Richardson
Go to the profile of Vishal Mehta
Vishal Mehta
Vishal Mehta works as Developer Technology with NVIDIA, working with performance optimizations of HPC and Machine Learning Applications on GPUs.
Go to the profile of Rachel Allen
Rachel Allen
Recovering neuroscientist, data enthusiast, infosec aficionado.
Go to the profile of Chris Deotte
Go to the profile of Andrey Adinets
Go to the profile of Jon Mease
Jon Mease
Creator of VegaFusion, Vega-Altair maintainer, visualization at Hex, former Chief Scientist at Plotly
Go to the profile of Shashank Prasanna
Shashank Prasanna
Talking Engineer. Runner. Coffee Connoisseur. ML @ Modular. Formerly ML @Meta, AWS, NVIDIA, MATLAB, posts are my own opinions. website: shashankprasanna.com
Go to the profile of Jiaming Yuan
Go to the profile of Benjamin Zaitlen
Benjamin Zaitlen
Fearful follower
Go to the profile of Dante Gama Dessavre
Dante Gama Dessavre
Senior data scientist and tool developer at the RAPIDS team in NVIDIA
Go to the profile of Tamás Fehér
Tamás Fehér
Tamás is an AI developer technology engineer at NVIDIA. His work is focused on accelerating deep learning and machine learning workloads on GPUs.
Go to the profile of Mads R. B. Kristensen
Go to the profile of John Kirkham
Go to the profile of Nanthini
Go to the profile of Ajay Thorve
Ajay Thorve
Software Engineer @ Nvidia Rapids.ai
Go to the profile of Rory Mitchell
Rory Mitchell
Senior Software engineer at Nvidia and XGBoost maintainer
Go to the profile of Jarod Maupin
Go to the profile of Jiqun Tu
Go to the profile of Graham Markall
Graham Markall
At NVIDIA, RAPIDS.ai — Numba developer.
Go to the profile of Jason Tichy
Go to the profile of Simon Andersen
Simon Andersen
Freelance Machine Learning Engineer. Previously at NVIDIA, RAPIDS.ai
Go to the profile of Thomson Comer
Go to the profile of Satish Varma Dandu
Go to the profile of Jeremy Dyer
Go to the profile of Ronay Ak
Ronay Ak
Sr. Data Scientist at NVIDIA.
Go to the profile of Zahra Ronaghi
Go to the profile of Chen Chieh Yu
Chen Chieh Yu
Deep Learning Solution Architect at NVIDIA
Go to the profile of Benedikt Schifferer
Benedikt Schifferer
Benedikt Schifferer is a Deep Learning Engineer at NVIDIA working on recommender systems. Prior, he graduated as MSc. Data Science from Columbia University
Go to the profile of Miro Enev
Go to the profile of Ayush Dattagupta
Go to the profile of Louis Sugy
Louis Sugy
Louis is an AI Developer Technology Engineer at NVIDIA. His work is focused on accelerating algorithms on GPUs using CUDA.
Go to the profile of William Hicks
Go to the profile of Chinmay Chandak
Chinmay Chandak
Software Engineer, NVIDIA
Go to the profile of Devin Robison
Devin Robison
Software Engineering and Data Science — NVIDIA RAPIDS Machine Learning Group.
Go to the profile of Victor Lafargue
Go to the profile of Hugo Linsenmaier
Hugo Linsenmaier
Graph analytics intern at NVIDIA, RAPIDS.ai
Go to the profile of Akshit Arora
Akshit Arora
Senior Data Scientist at NVIDIA | Text-to-Speech | aroraakshit.github.io
Go to the profile of Rick Zamora
Go to the profile of Brandon B. Miller
Go to the profile of Marlene Mhangami
Marlene Mhangami
Developer Advocate at Voltron Data (ex Nvidia.) Python Software Foundation board member, PyCon Africa Chair emeritus, Really likes cucumbers ❤
Go to the profile of Ashwin Srinath
Go to the profile of prem sagar gali
Go to the profile of David Banys
Go to the profile of Sofia Sayyah
Go to the profile of Shridhar A
Go to the profile of Michael Wang
Michael Wang
Michael Yh Wang is a software engineer in Nvidia Rapids. He currently contributes his engineering skills towards cuDF, cuSpatial and Numba.
Go to the profile of Maarten Grootendorst
Maarten Grootendorst
Data Scientist | Psychologist. Passionate about anything AI-related! Get in touch: www.linkedin.com/in/mgrootendorst/
Go to the profile of Alex Barghi
Alex Barghi
Alex Barghi is a senior software engineer on the RAPIDS Graph Team at NVIDIA. She primarily works on cuGraph, and is the lead for cuGraph integration with PyG.
Go to the profile of Ben Jarmak
Go to the profile of Don Acosta