|
gptkbp:instance_of
|
gptkb:Library
|
|
gptkbp:aims_to_improve
|
data visualization
data processing speed
time to insight
|
|
gptkbp:available_on
|
gptkb:Git_Hub
NVIDIA Developer Zone
|
|
gptkbp:designed_for
|
big data
real-time analytics
data engineering
|
|
gptkbp:developed_by
|
gptkb:NVIDIA
|
|
gptkbp:has_component
|
gptkb:RAPIDS_AI
gptkb:cu_DF
cu Graph
cu ML
|
|
gptkbp:has_feature
|
community support
data visualization tools
extensibility
performance optimization
scalability
easy installation
graph processing
machine learning pipelines
interoperability with other libraries
dataframe manipulation
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
NVIDIA RAPIDS
|
|
gptkbp:integrates_with
|
gptkb:Dask
gptkb:Apache_Arrow
gptkb:cu_DF
cu Graph
cu ML
|
|
gptkbp:is_compatible_with
|
gptkb:NVIDIA_GPUs
|
|
gptkbp:programming_language
|
gptkb:Python
|
|
gptkbp:provides
|
machine learning algorithms
graph analytics
dataframe operations
|
|
gptkbp:release_date
|
gptkb:2018
|
|
gptkbp:supports
|
gptkb:CUDA
GPU acceleration
Python APIs
|
|
gptkbp:use_case
|
gptkb:education
gptkb:Telecommunications
gptkb:transportation
gptkb:government
gptkb:financial_services
healthcare
energy
manufacturing
retail
|
|
gptkbp:used_for
|
gptkb:machine_learning
data analytics
data science
|
|
gptkbp:bfsParent
|
gptkb:NVIDIA_Corporation
gptkb:CUDA
gptkb:NVIDIA
|
|
gptkbp:bfsLayer
|
4
|