RAPIDS cuDF Accelerates pandas up to 30x on an 8GB Text Dataset
Watch RAPIDS cuDF accelerate pandas code processing tabular text data by up to 30x. This demo highlights the impact of GPU-acceleration of data with large string fields, a new feature of RAPIDS cuDF, that often slows down CPU-only pandas data processing.
Try the notebook: https://nvda.ws/3LXTerT
RAPIDS cuDF can now process up to 2.1B rows of tabular text data. To use the latest version of RAPIDS cuDF, use the command pip install --extra-index-url=https://pypi.nvidia.com cudf-cu12==24.8.* before running your code.
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RAPIDS cuDF, pandas, real-time analytics, dataframe, NVIDIA, Data Analytics, Data Science, CPU/GPU Interoperability, GPU-Accelerated, GPU, tabular text data
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