This is the second post in a series that will discuss the results from an air pollution monitoring use case conducted during the COVID-19 pandemic, and share code snippets to port existing CPU workflows to RAPIDS on NVIDIA GPUs.
Learn about Dataiku and NVIDIA integrations for image classification and object detection.
Data collected on a vast scale has fundamentally changed the way organizations do business, driving demand for teams to provide meaningful data science, machine learning, and deep learning-based business insights quickly. Data science leaders, plus the Dev Ops and IT teams supporting them, constantly look for ways to make their teams productive while optimizing their costs … Continued
See how innovations are driving new data science capabilities, applications, and bridges to open source communities. Learn the latest breakthroughs in data manipulation, machine learning, spatial analysis, graph analytics, data visualization, and more.
Learn about the latest AI and data science breakthroughs from leading data science teams at NVIDIA GTC 2023.
Meta, NetworkX, Fast.ai, and other industry leaders share how to gain new insights from your data with emerging tools.
Learn to create an end-to-end machine learning pipeline for large datasets with this virtual, hands-on workshop.
At GTC Europe in Munich Germany, NVIDIA announced RAPIDS, a suite of open-source software libraries for executing end-to-end data science and analytics pipelines entirely on GPUs. RAPIDS aims to accelerate the entire data science pipeline including data loading, ETL, model training, and inference. This will enable more productive, interactive, and exploratory workflows. The RAPIDS libraries … Continued
Australia’s first Data Arena powered by by nine NVIDIA Quadro K6000, with 27,000 CUDA cores lets you literally see, hear and feel data sets through 3D visualization. A few software developers from the University of Technology Sydney built a 3D, 360-degree data visualization room to help researchers and data scientists intuitively explore huge and complex data … Continued
Attend live events in the time zone that works best for you, or browse an extensive catalog of on-demand content showcasing innovative uses of GPU technology. Here’s a preview of some of the data science sessions we’re working on for GTC.
Learn how to use RAPIDS to speed up your CPU-based data science workflows.
Register for hands-on, expert-led workshops in data science and deep learning at GTC 2022.
Learn about the latest AI and data science breakthroughs from the world’s leading data science teams at GTC 2022.
Ken Jee, a data science professional, shares insights on leveraging university resources, benefits of content creation, and useful learning methods for AI topics.
At GTC 2024, experts from NVIDIA and our partners shared insights about GPU-accelerated tools, optimizations, and best practices for data scientists. From the hundreds of sessions covering various topics, we’ve handpicked the top three data science sessions that you won’t want to miss. RAPIDS in 2024: Accelerated Data Science Everywhere Speakers: Dante Gama Dessavre, Machine … Continued
