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RAPIDS AI
RAPIDS is a suite of software libraries for executing end-to-end data science & analytics pipelines entirely on GPUs.
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John Kirkham
in
RAPIDS AI
May 8, 2020
Using RAPIDS Memory Manager with CuPy
Better allocate GPU memory across multiple Python libraries
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112
Alex Fender
in
RAPIDS AI
Nov 1, 2019
RAPIDS cuGraph : multi-GPU PageRank
RAPIDS
cuGraph is on a mission to provide multi-GPU graph analytics to allow our customers to…
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57
1 response
Even Oldridge
in
RAPIDS AI
Sep 15, 2019
Accelerating Deep Learning Recommender Systems by 15x using Rapids, FastAI and Pytorch
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148
Jacob Tomlinson
in
RAPIDS AI
Aug 13, 2019
Setting up GPU Data Science Environments for Hackathons
AKA Littlest CUDA Hub
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23
Jiwei Liu
in
RAPIDS AI
Jul 3, 2019
Financial data modeling with RAPIDS.
See how RAPIDS was used to place 17th in the Banco Santander…
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183
1 response
Randy Gelhausen
in
RAPIDS AI
Jun 21, 2019
Nightly News: CI produces latest packages
Release code early and often. Stay current on latest…
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29
Raghav Mani
in
RAPIDS AI
Jun 12, 2019
Scale out RAPIDS on Google Cloud Dataproc
Try out our early access Dask implementation on Google…
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106
Even Oldridge
in
RAPIDS AI
May 21, 2019
Using RAPIDS with PyTorch
Using the GPU for ETL and preprocessing of deep learning workflows
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252
6 responses
Keith Kraus
in
RAPIDS AI
May 21, 2019
RAPIDS 0.7 Release Drops PIP Packages — and sticks with Conda [EDIT: see link to install RAPIDS via pip below]
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187
2 responses
Mike Beaumont
in
RAPIDS AI
May 15, 2019
Experience BlazingSQL Running 100X Faster than Apache Spark on Google Colab
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20
1 response
