Thursday, June 2, 2022

Your Personalized Developer News from NVIDIA

Developer News
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The NVIDIA platform, powered by the A100 Tensor Core GPU, delivers leading performance and versatility for accelerated HPC.
 
     
 
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Google worked with Australia's national science agency to train ML models that monitor and map harmful coral-eating crown-of-thorns starfish outbreaks along the Great Barrier Reef.
 
     
 
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Users can now produce 3D virtual worlds at human scale with the new Omniverse XR App available in beta from the NVIDIA Omniverse launcher.
 
     
 
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Join this webinar on June 7 to learn how Aria Cybersecurity and NVIDIA are stopping modern security attacks in real time at demanding network speeds.
 
     
 
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Using Numba and PyOptiX, NVIIDA enables you to configure ray tracing pipeline and write kernels in Python compatible with the OptiX pipeline.
 
     
 
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Join this webinar on June 14 and learn how to program computer vision algorithms using VPI's Python interface.
 
     
 
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Monitor DPUs, validate RoCE deployments, gain network insights through flow-based telemetry analysis, and centrally view network events with NetQ 4.2.0.
 
     
 
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Learn more about new features and ways to improve system performance using Nsight Compute 2022.2.
 
     
 
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Learn how RAPIDS cuDF accelerates data science with the help of GPUDirect Storage. Dive into the techniques that minimize the time to upload data to the GPU.
 
     
 
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We present lessons learned from refactoring a Fortran application to use modern do concurrent loops in place of OpenACC for GPU acceleration.
 
     
 
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This post highlights helpful new cuDF features that allow you to think about a single row of data and write code faster.
 
     
 
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The end of 2021 and beginning of 2022 saw the two largest commercial CFD tool vendors, Ansys and Siemens, both launch versions of their flagship CFD tools with support for GPU acceleration.
 
     
 
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We built BenchBot to allow roboticists to spend more time researching the exciting and interesting problems in robotics. This post tells BenchBot's story.
 
     
 
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Autonomous parking involves complex perception algorithms. We present an AI-based parking sign assist system relying on live perception that can fuse to map systems.
 
     
 
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During a recent webinar, participants outlined common edge computing questions and challenges. This post provides NVIDIA resources to help beginners on their journey.
 
     
 
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This post shows how the SOTA Visual Transformer model, VOLO, is trained on the NVIDIA DGX SuperPOD VOLO_D5 model.
 
     
 
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This post covers how network professionals can update their data center network infrastructure and protocol stack.
 
     
 
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Join expert speakers and the developer community at WeAreDevelopers World Congress June 14-15, to exchange ideas, share knowledge, and facilitate networking.
 
     
 
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Announcing NVIDIA Isaac Transport for ROS (NITROS) pipelines that use new ROS Humble features developed jointly with Open Robotics.
 
     
 
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This post presents an overview of NVIDIA Triton Model Analyzer and how it can be used to find the optimal AI model-serving configuration to satisfy application requirements.
 
     
 
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Using an NVIDIA Triton Inference Server, industrial manufacturer Sansera improved quality control and documentation through a custom AI pipeline.
 
     
 
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Train highly accurate computer vision models with Lexset synthetic data and the NVIDIA TAO Toolkit.
 
     
 
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Demonstrate your computer vision expertise by mastering cloud services, AutoML, and Transformer architectures.
 
     
 
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​Join us on June 16 to take a deep dive into AI at the edge and learn how you can build an edge computing solution that delivers real-time results.
 
     
 
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Learn how financial institutions are using high-quality synthetic data to validate explainable AI models and comply with data privacy regulations.
 
     
 
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