Thursday, May 19, 2022

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The first open-source release of GPU kernel modules for the Linux community helps improve NVIDIA GPU driver quality and security.
 
     
 
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On June 2, learn how to leverage Replicator Composer—a tool in NVIDIA Isaac Sim—to generate synthetic data, and train and test computer vision models.
 
     
 
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Edge AI and HPC are modernizing the electric grid, from power generation, transmission, and distribution to the grid edge.
 
     
 
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Here's how you can get up and running quickly using the RAPIDS machine learning pipeline with the NVIDIA NGC catalog and Google Vertex AI.
 
     
 
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This post covers best practices for variable rate shading on NVIDIA GPUs.
 
     
 
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With NVIDIA Morpheus, now available for download, you can achieve up to 99% accuracy for phishing detection, using AI.
 
     
 
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The latest release of NVIDIA CloudXR includes some of the most requested features from the developer community, such as support for preconfiguring a remote server.
 
     
 
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Learn how to roll out a successful edge AI solution across your organization in five steps.
 
     
 
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Join NVIDIA and Google Cloud for a live webinar on May 25 to learn how to build a machine learning application to predict bike rental durations 5X faster.
 
     
 
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Here's how Pony, which develops autonomous driving systems for robotaxis and trucks, uses GPU technology to develop a highly efficient data processing pipeline.
 
     
 
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Choose from a range of workload-specific validated configurations for GPU-accelerated servers and workstations.
 
     
 
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Learn about the characteristics of inference workloads and system features needed to run them, particularly at the edge.
 
     
 
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Johnathan Stephens provides a walkthrough of how he started using Instant NeRF.
 
     
 
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Surface clearing is a widely used accessory operation. This post covers best practices for clears on NVIDIA GPUs.
 
     
 
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Researchers, engineers, and data scientists can use A30 to deliver real-world results and deploy solutions into production at scale.
 
     
 
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Join Microsoft Build 2022 to learn how NVIDIA AI technology solutions are transforming industries such as retail, manufacturing, automotive, and healthcare.
 
     
 
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This feature-rich branch is fully compatible with Unreal Engine 5, and contains all of the latest developments from NVIDIA in the world of ray tracing.
 
     
 
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This post details how to use Container Canary from installation and validation to writing custom manifests and container automation.
 
     
 
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Migrating from Onyx to NVIDIA Cumulus Linux optimizes operational efficiency, enabling a DevOps approach to data center operations.
 
     
 
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Data privacy and availability remain an issue for enterprises. Delve into how synthetic tabular data generated by NeMo addresses these challenges.
 
     
 
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Learn about our joint effort in porting the ILT engine to GPU. We also identify future areas for EDA and mask inspection tool vendors to address for ILT to be adopted at logic foundries.
 
     
 
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This post details how the filesystem specification's new parquet model provides a format-aware byte-cashing optimization.
 
     
 
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