Simulations form an integral part of product design to reduce significant iterations in physical prototyping and testing to improve quality, cost and time-to-market. However, this process is very time consuming and can take weeks to months since, in a typical simulation workflow, several iterations …

Isaac ROS is a collection of hardware-accelerated packages (GEMs) for building high-performance robotics solutions. Optimized for NVIDIA GPUs and NVIDIA Jetson, Isaac ROS offers modular packages for robotic perception and easy integration into existing ROS 2-based applications. This talk includes a …

Join us for a deep dive into NVIDIA’s Warp framework and learn how it enables developers to create GPU-accelerated and differentiable simulation programs in Python. We'll cover the latest features in Warp for 3D data generation, computer-aided engineering, and robotics, and show how Warp …

This tutorial introduces you to the NVIDIA Warp SDK, a Python framework that makes writing GPU simulations in graphics code easy. We will teach you how to enable the Warp extension inside of Create, explore some of the example scenes, and get you started writing your first Warp kernel with …

Integrated sensing and AI-native RAN will revolutionize network efficiency and capabilities of 6G . This new paradigm will be powered by AI, digital twins and software-defined platforms. While exciting, this transformation presents a new set of challenges. For example, at-scale system simulation, access to …

The demand for mobile broadband has been steadily increasing across the last two decades and is expected to grow further in the future with 6G. To meet this demand, the industry has introduced a variety of techniques aimed at improving the efficiency of communication systems. The complexity of…

Pandas is flexible, but often slow when processing gigabytes of data. Many frameworks promise higher performance, but they often support only a subset of the Pandas API, require significant code change, and struggle to interact with or accelerate third-party code that you can’t change. RAPIDS cuDF …

DGL and PyG both benefit from RAPIDS with cuDF, cuGraph, cuGraph-ops, and cuGraph service work to reach 1 trillion edge scale. We'll present the latest performance numbers and include Graph Platform examples. We'll present the DGL 1.0 and a GA DGL container, and first GA for PyG container. We'll …

GPUs used with Apache Spark are leveraged to speed up machine learning (ML) model training and inference. Data preparation stages are traditionally run on CPUs. The RAPIDS Accelerator for Apache Spark is a plugin jar that takes advantage of Apache Spark 3.x’s ability to schedule on GPUs. The …

Big data and data science applications are central to a wide range of business operations, and are at heart of countless products and services. Most of the utilities in this space, including scikit-learn, Pandas, NumPy, NetworkX, and Spark, have GPU-accelerated drop-in replacements (for example, …