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gptkbp:instanceOf
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open-source software suite
|
|
gptkbp:category
|
gptkb:model
gptkb:software
data science framework
|
|
gptkbp:compatibleWith
|
gptkb:CUDA
gptkb:NVIDIA_GPUs
|
|
gptkbp:developedBy
|
gptkb:NVIDIA
|
|
gptkbp:enables
|
end-to-end GPU acceleration
|
|
gptkbp:firstReleased
|
2018
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|
gptkbp:focusesOn
|
gptkb:machine_learning
data science
GPU acceleration
|
|
gptkbp:hasComponent
|
gptkb:cuDF
gptkb:cuGraph
gptkb:cuML
Dask integration
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA RAPIDS
|
|
gptkbp:integratesWith
|
gptkb:Apache_Spark
gptkb:Pandas
gptkb:Apache_Arrow
gptkb:Jupyter
gptkb:Dask
gptkb:scikit-learn
|
|
gptkbp:license
|
gptkb:Apache_License_2.0
|
|
gptkbp:platform
|
gptkb:Windows
gptkb:macOS
gptkb:Linux
|
|
gptkbp:repository
|
https://github.com/rapidsai
|
|
gptkbp:targetAudience
|
gptkb:researchers
data scientists
machine learning engineers
|
|
gptkbp:usedFor
|
graph analytics
machine learning pipelines
dataframe processing
|
|
gptkbp:website
|
https://rapids.ai/
|
|
gptkbp:writtenBy
|
gptkb:Python
gptkb:C++
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_AI
|
|
gptkbp:bfsLayer
|
5
|