Radeon Software for Data Science
GPTKB entity
Statements (69)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
7
|
| gptkbp:bfsParent |
gptkb:Radeon_GPU
|
| gptkbp:developed_by |
gptkb:AMD
|
| gptkbp:enables |
high-performance computing
|
| gptkbp:enhances |
data processing speed
algorithm performance performance of AI workloads |
| gptkbp:features |
optimized libraries
|
| https://www.w3.org/2000/01/rdf-schema#label |
Radeon Software for Data Science
|
| gptkbp:includes |
gptkb:document
sample projects performance monitoring tools Radeon Open Compute (RO Cm) |
| gptkbp:integrates_with |
gptkb:Jupyter_Notebooks
|
| gptkbp:is_compatible_with |
Radeon GP Us
|
| gptkbp:is_designed_for |
data science
|
| gptkbp:offers |
collaborative tools
community support customizable workflows data visualization tools training resources user-friendly interface data lifecycle management performance tuning options data visualization dashboards data collaboration features cloud computing support |
| gptkbp:provides |
gptkb:software
API access GPU acceleration data insights real-time analytics data security features data storage solutions data management tools data pipeline management data quality assessment tools model training capabilities data analysis frameworks data exploration tools model deployment tools |
| gptkbp:supports |
gptkb:Graphics_Processing_Unit
gptkb:software_framework gptkb:Library gptkb:Py_Torch data preprocessing data analytics data enrichment data governance data integration data interoperability data simulation data transformation data visualization techniques deep learning statistical analysis data mining data reporting data cleaning data aggregation data modeling data storytelling data extraction multi-GPU setups big data frameworks data visualization libraries data forecasting R data analysis |