Summary A new AI model has been developed to predict global weather forecasts in seconds, revolutionizing the field of meteorology. This breakthrough, achieved through the collaboration of researchers and NVIDIA, uses convolutional neural networks to quickly calculate forecasts up to 6 weeks into the future. The model, known as the Deep Learning Weather Prediction (DLWP), has the potential to significantly improve the accuracy and speed of weather forecasting, which could help mitigate the impacts of extreme weather events....

Summary NVIDIA has announced the release of Nsight Graphics 2018.6, a powerful tool for debugging, profiling, and exporting frames built with various graphics APIs. This update includes full support for Linux, revamped user documentation, and added support for Windows Redstone 5 API and 15 new Vulkan extensions. Here, we explore the key features and improvements of Nsight Graphics 2018.6. Nsight Graphics 2018.6: A Comprehensive Update Nsight Graphics 2018.6 is a standalone developer tool designed to help developers debug, profile, and export frames built with Direct3D (11, 12, DXR), Vulkan (1....

Designing Deep Learning Applications with NVIDIA Nsight Deep Learning Designer Summary NVIDIA Nsight Deep Learning Designer is a powerful tool designed to simplify the process of creating high-performance deep learning models. It offers a user-friendly interface for designing and optimizing neural networks, providing valuable insights into model structure and performance on NVIDIA hardware. This article explores the key features and benefits of Nsight Deep Learning Designer, highlighting how it can streamline the development of deep learning applications....

Summary The additive manufacturing industry faces a significant challenge: handling vast amounts of data. As 3D printing technology advances, the size of print files grows exponentially, causing bottlenecks in production workflows. Dyndrite, a pioneering company, has developed a groundbreaking solution - the world’s first GPU-accelerated geometry kernel. This technology leverages the power of NVIDIA Quadro RTX 6000 GPUs to process complex geometric data, revolutionizing the additive manufacturing process. Tackling the Data Explosion in Additive Manufacturing The additive manufacturing industry is at a crossroads....

Unlocking AI and Machine Learning Potential: NVIDIA T4 GPUs on Google Cloud Summary: NVIDIA T4 GPUs are now available on Google Cloud, offering a powerful tool for machine learning training and inference, high-performance computing, data analytics, and graphics applications. This article explores the capabilities and benefits of using NVIDIA T4 GPUs on Google Cloud, including their technical specifications, pricing, and real-world applications. Introduction to NVIDIA T4 GPUs NVIDIA T4 GPUs are built on the Turing architecture, which brings the second generation of Tensor Cores to the table....

Summary Deep Learning Recommendation Models (DLRMs) are becoming increasingly important for driving user engagement on online platforms. However, training these models poses significant challenges due to their computational and memory requirements. This article explores how NVIDIA GPUs can be optimized to accelerate DLRM training and inference, focusing on the NVIDIA GPU-accelerated DL model portfolio and the use of tools like NVIDIA HugeCTR and NVIDIA Merlin. Speeding Up Deep Learning Recommendation Models with NVIDIA GPUs Deep Learning Recommendation Models (DLRMs) are a critical component for driving user engagement on many online platforms....

Building a Secure and Reliable SONiC Image: A Step-by-Step Guide Summary: This article provides a detailed guide on building a secure and reliable SONiC image using NVIDIA’s verified process. It covers the importance of reproducible builds, the benefits of using a verified NVIDIA hash, and a step-by-step guide on building a custom ONIE compatible SONiC image. Understanding Reproducible Builds Reproducible builds are a crucial aspect of open-source software development. They ensure that the same binary can be built from the same source code and external dependencies, providing an extra layer of security and trustworthiness....

Unlocking the Power of Conversational AI: NVIDIA Riva and Large Language Modeling Summary: NVIDIA has announced significant advancements in conversational AI with the introduction of Riva, a GPU-accelerated Speech AI SDK, and large language modeling capabilities through NVIDIA NeMo. This article delves into the key features and benefits of Riva and NeMo, highlighting how enterprises can leverage these technologies to build state-of-the-art conversational AI capabilities tailored to their specific industries and domains....

Breaking Down Heart Failure Diagnosis with AI Summary Heart failure is a common condition affecting millions of people worldwide, often requiring expensive and time-consuming procedures for diagnosis. Recent advancements in artificial intelligence (AI) have led to the development of algorithms that can quickly and accurately identify heart failure by analyzing electrocardiogram (ECG) data. This article explores how AI is transforming heart failure diagnosis, focusing on a study by Mount Sinai researchers who created a deep learning model to predict heart failure from ECG waveform data....

Unlocking Full GPU Potential: A Guide to Optimizing GPU Utilization with Nsight Compute 2021.3 Summary: Nsight Compute 2021.3 is a powerful tool designed to help developers optimize GPU utilization, ensuring that their applications run at peak performance. This guide explores the key features of Nsight Compute 2021.3, including the Occupancy Calculator, command line source page, and hierarchical roofline model, providing practical insights into how these tools can be used to identify and address bottlenecks in GPU performance....