Decoding How AI Can Accelerate Data Science Workflows
NVIDIA News, Wednesday, September 25th, 2024
RAPIDS cuDF speeds the popular pandas library up to 100x on RTX-powered AI PCs and workstations.
Across industries, AI is driving innovation and enabling efficiencies - but to unlock its full potential, the technology must be trained on vast amounts of high-quality data.
Data scientists play a key role in preparing this data, especially in domain-specific fields where specialized, often proprietary data is essential to enhancing AI capabilities.
To help data scientists with increasing workload demands, NVIDIA announced that RAPIDS cuDF, a library that allows users to more easily work with data, accelerates the pandas software library with zero code changes. Pandas is a flexible, powerful and popular data analysis and manipulation library for the Python programming language. With cuDF, data scientists can now use their preferred code base without compromising on data processing speed.