Summary This article guides you through the process of remote-developing CUDA applications for the NVIDIA Jetson TK1, an ARM-based development kit, using NVIDIA Nsight Eclipse Edition. It covers setting up the development environment, importing and running CUDA samples, and debugging applications on the Jetson TK1. Setting Up the Development Environment NVIDIA Nsight Eclipse Edition is a full-featured, integrated development environment (IDE) that allows you to develop CUDA applications for both local (x86) systems and remote (x86 or ARM) targets....

Understanding NVIDIA Nsight Systems and Its Support for Vulkan Summary: NVIDIA Nsight Systems is a powerful tool designed to help developers analyze and optimize the performance of their applications across CPUs and GPUs. This article delves into how Nsight Systems supports Vulkan, a low-overhead, cross-platform 3D graphics and compute API. We explore the key features and benefits of using Nsight Systems for profiling Vulkan applications, highlighting its ability to capture detailed information about Vulkan API function execution times, GPU workloads, and frame durations....

Unlocking the Power of Multi-GPU Support with NVTabular Summary NVTabular, a feature engineering and preprocessing library, revolutionizes the development of large-scale deep learning recommenders by offering multi-GPU support and new data loaders. This article delves into the core features of NVTabular, highlighting its ability to accelerate recommender workflows and provide significant speedups compared to traditional CPU-based processing. Introduction In the realm of deep learning recommenders, processing large datasets efficiently is crucial....

Unlocking the Future of Quantum Computing: How AI Supercomputing Is Accelerating Breakthroughs Summary: Quantum computing holds the promise of solving complex problems that are beyond the reach of classical computers. However, the development of commercially useful quantum computers is hindered by the challenge of scaling up quantum hardware while keeping noise in check. Recent collaborations between Google Quantum AI and NVIDIA have shown that AI supercomputing can play a crucial role in overcoming this challenge....

Unlocking Robotics Potential: NVIDIA’s Breakthroughs in Geometric Fabrics and Simulation Summary NVIDIA’s latest research in robotics, particularly in geometric fabrics and simulation, is revolutionizing the field. At the IEEE International Conference on Robotics and Automation (ICRA), NVIDIA presented numerous papers showcasing advancements in robot manipulation, perception, and physics-based simulation. This article delves into the key findings and implications of these breakthroughs. Understanding Geometric Fabrics Geometric fabrics are a new mathematical formulation for reactive behavior in robotics....

Summary NVIDIA has released updates to its CUDA-X AI software, a deep learning software stack designed for researchers and software developers to build high-performance GPU-accelerated applications for conversational AI, recommendation systems, and computer vision. This update includes new features and improvements across various libraries and tools, enhancing the performance and usability of AI applications. NVIDIA CUDA-X AI: Unlocking High-Performance AI Applications NVIDIA CUDA-X AI is a comprehensive deep learning software stack that empowers researchers and software developers to create high-performance GPU-accelerated applications....

Unlocking AI Potential: NVIDIA’s CUDA-X AI Software Updates Summary: NVIDIA has released significant updates to its CUDA-X AI software, a deep learning stack designed for researchers and developers to build high-performance GPU-accelerated applications. These updates include new libraries, tools, and features that enhance the development of conversational AI, recommendation systems, and computer vision applications. This article delves into the key updates and their implications for AI development. Enhancing AI Development with CUDA-X AI NVIDIA’s CUDA-X AI is a comprehensive software stack that empowers researchers and developers to create high-performance GPU-accelerated applications....

Summary: Automating clinical charting with natural language processing (NLP) technology can significantly enhance patient care and reduce physician workload. Recent research by NVIDIA at the Conference for Machine Intelligence in Medical Imaging (C-MIMI) explores how state-of-the-art conversational AI models can capture, recognize, and summarize key concepts and structures from patient conversations. This technology can integrate with clinical ontologies like SNOMED-CT or ICD-10 to provide accurate and efficient clinical documentation. Revolutionizing Telemedicine with NLP The healthcare industry is witnessing a significant shift towards telemedicine, driven by the need for remote patient care and the growing volume of clinical data....

Summary: NVIDIA researchers have made a groundbreaking demonstration of interactive texture painting with generative AI at SIGGRAPH Asia Real-Time Live. This technology allows artists to paint complex, non-repeating textures directly on 3D objects, leveraging AI as a brush in their creative process. This article explores the details of this innovative workflow and its potential to revolutionize 3D design. Interactive Texture Painting with Generative AI NVIDIA researchers took the stage at SIGGRAPH Asia Real-Time Live to showcase a remarkable integration of generative AI into an interactive texture painting workflow....

Summary: This article explores the NVIDIA RTX technology, focusing on its top features and benefits as highlighted during the week of December 14, 2018. It delves into the key aspects of RTX, including real-time ray tracing, AI-enhanced graphics, and variable rate shading, explaining how these technologies revolutionize gaming and graphics rendering. Unlocking the Power of NVIDIA RTX NVIDIA RTX technology marked a significant leap in graphics processing, introducing real-time ray tracing, AI-enhanced graphics, and variable rate shading....