Future of Data Science Looks Spectacular

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

Zero to Data Science: Making Data Science Teams Productive with Kubernetes and RAPIDS

  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

RAPIDS Accelerates Data Science End-to-End

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

Data Science – Top Resources from GTC 21

Accelerated data science can dramatically boost the performance of end-to-end analytics workflows, speeding up value generation while reducing cost. Learn how companies like Spotify and Walmart use NVIDIA-accelerated data science.

GTC Data Science Presentations

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.

Develop Smaller Speech Recognition Models with the NVIDIA NeMo Framework

As computers and other personal devices have become increasingly prevalent, interest in conversational AI has grown due to its multitude of potential applications in a variety of situations. Each conversational AI framework is comprised of several more basic modules such as automatic speech recognition (ASR), and the models for these need to be lightweight in … Continued