From NVIDIA: 2024-09-25 09:00:52

AI is driving innovation by training on vast amounts of high-quality data. NVIDIA’s RAPIDS cuDF library accelerates the pandas software library with zero code changes, allowing data scientists to process data faster. With cuDF, data scientists can use their preferred code base without compromising on speed. NVIDIA RTX AI hardware can also deliver data processing speedups.

Data scientists commonly use Python’s pandas library for data analysis, but pandas struggles with speed and efficiency as dataset sizes grow. RAPIDS cuDF speeds up pandas by up to 100x on RTX-powered AI systems. This GPU-accelerated library supports larger datasets and billions of rows of tabular data, enhancing performance for data scientists.

The latest release of cuDF allows data scientists to preprocess large data for generative AI use cases with pandas code. By running existing pandas code on GPUs using cuDF, data scientists can take advantage of powerful parallel processing and switch to CPUs when necessary. NVIDIA RTX GPUs in workstations can deliver up to 100x better performance compared to CPU-based solutions.

NVIDIA AI Workbench, powered by containers, enables data scientists to work on projects using RAPIDS cuDF on RTX-powered AI systems. This free developer environment manager supports several example projects on the NVIDIA GitHub repository, allowing for seamless collaboration and migration of AI workloads. cuDF is also available on HP AI Studio for streamlined data science development.

RAPIDS cuDF not only provides speedups for data processing but also saves time and money, enables faster iterations for experimentation, and delivers more impactful data processing for better model outcomes. The ability to rapidly process massive datasets is crucial for breakthroughs in AI and data science. NVIDIA’s support for dataframe tools like Polars further enhances data processing performance.

NVIDIA GPUs, such as GeForce RTX laptops and RTX workstations, are accelerating studies in data science fields. Students can gain hands-on experience with hardware used widely in real-world applications, enhancing their learning experience. NVIDIA’s RTX AI technology is transforming interactive experiences across industries, with endless possibilities for tomorrow’s engineers. Subscribe to the AI Decoded newsletter to stay updated on the latest advancements in generative AI.



Read more at NVIDIA: Decoding How AI Can Accelerate Data Science