Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:aims_to |
speed up data processing
|
| gptkbp:community_support |
gptkb:theorem
|
| gptkbp:developed_by |
gptkb:DJ
|
| gptkbp:enables |
machine learning workflows
|
| gptkbp:facilitates |
graph analytics
|
| https://www.w3.org/2000/01/rdf-schema#label |
Rapids AI
|
| gptkbp:includes |
gptkb:cu_DF
cu Graph cu ML |
| gptkbp:integrates_with |
gptkb:Apache_Arrow
|
| gptkbp:is_available_on |
gptkb:archive
|
| gptkbp:is_compatible_with |
gptkb:skincare_product
gptkb:park |
| gptkbp:is_designed_for |
data science
|
| gptkbp:is_designed_to |
handle large datasets
|
| gptkbp:is_open_source |
gptkb:theorem
|
| gptkbp:is_optimized_for |
NVIDIAGP Us
|
| gptkbp:is_part_of |
NVIDIAAI ecosystem
RAPIDSAI suite open-source data science tools |
| gptkbp:is_used_for |
data visualization
|
| gptkbp:is_used_in |
gptkb:sports_team
gptkb:film_production_company gptkb:financial_services_company gptkb:Telecommunications_company risk management data preprocessing customer relationship management data integration data transformation data visualization tools data-driven decision making environmental monitoring supply chain optimization data mining data reporting big data analytics AI model training data cleaning fraud detection predictive maintenance data modeling data warehousing energy sector healthcare analytics retail analytics logistics and supply chain data exploration social media analytics research and academia marketing analytics real estate analytics transportation analytics manufacturing analytics government data analysis |
| gptkbp:is_utilized_in |
data scientists
data engineers machine learning engineers |
| gptkbp:provides |
data analytics tools
high-performance computing capabilities |
| gptkbp:released_in |
gptkb:2018
|
| gptkbp:supports |
gptkb:NVIDIA_Tensor_RT
gptkb:Library dataframes |
| gptkbp:uses |
GPU acceleration
|
| gptkbp:written_in |
gptkb:C++
|
| gptkbp:bfsParent |
gptkb:DGX_A100
|
| gptkbp:bfsLayer |
5
|