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Easy-to-use microservices provide optimized model performance with enterprise-grade security, support, and stability to ensure a smooth transition from prototype to production for enterprises that run their businesses on AI. </div> <div class="PagePromo-tags"> <ul class="PagePromo-tagList"> <li class="PagePromo-tagList-item"><span class="Link">Architecture / Engineering / Construction</span></li> <li class="PagePromo-tagList-item"><span class="Link">Media & Entertainment</span></li> <li class="PagePromo-tagList-item"><span class="Link">Restaurant / Quick-Service</span></li> </ul> </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Documentation Center</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/networking-ethernet-software/nvidia-air/" target="_blank" rel="noopener" data-cms-ai="0" >NVIDIA Air</a> </div> <div class="PagePromo-date">06/12/23</div> <div class="PagePromo-description"> A simulation platform that allows users to model data center deployments with full software functionality, creating a digital twin. 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NVIDIA Base Command Manager Essentials comprises the features of NVIDIA Base Command Manager that are <a class="Link" href="https://support.brightcomputing.com/feature-matrix/" data-cms-ai="0" >certified for use with NVIDIA AI Enterprise</a>. </div> <div class="PagePromo-tags"> <ul class="PagePromo-tagList"> <li class="PagePromo-tagList-item"><span class="Link">Data Center / Cloud</span></li> </ul> </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Technical Overview</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/base-command-platform/index.html" data-cms-ai="0" >NVIDIA Base Command Platform</a> </div> <div class="PagePromo-date">01/25/23</div> <div class="PagePromo-description"> NVIDIA Base Command Platform is a world-class infrastructure solution for businesses and their data scientists who need a premium AI development experience. </div> <div class="PagePromo-tags"> <ul class="PagePromo-tagList"> <li class="PagePromo-tagList-item"><span class="Link">Architecture / Engineering / Construction</span></li> <li class="PagePromo-tagList-item"><span class="Link">Media & Entertainment</span></li> <li class="PagePromo-tagList-item"><span class="Link">Restaurant / Quick-Service</span></li> </ul> </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Product</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/base-os/index.html" data-cms-ai="0" >NVIDIA Base OS</a> </div> <div class="PagePromo-date">04/18/23</div> <div class="PagePromo-description"> NVIDIA Base OS implements the stable and fully qualified operating systems for running AI, machine learning, and analytics applications on the DGX platform. 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This suite contains multiple tools that can perform different type of checks. The memcheck tool is capable of precisely detecting and attributing out of bounds and misaligned memory access errors in CUDA applications. The tool can also report hardware exceptions encountered by the GPU. The racecheck tool can report shared memory data access hazards that can cause data races. The initcheck tool can report cases where the GPU performs uninitialized accesses to global memory. The synccheck tool can report cases where the application is attempting invalid usages of synchronization primitives. This document describes the usage of these tools. </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Product</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/cuda/doc/index.html" data-cms-ai="0" >NVIDIA CUDA</a> </div> <div class="PagePromo-date">04/03/23</div> <div class="PagePromo-description"> The NVIDIA® CUDA® Toolkit provides a comprehensive development environment for C and C++ developers building GPU-accelerated applications. 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Every aspect of the DGX platform is infused with NVIDIA AI expertise, featuring world-class software, record-breaking NVIDIA-accelerated infrastructure in the cloud or on-premises, and direct access to NVIDIA DGXPerts to speed the ROI of AI for every enterprise. </div> <div class="PagePromo-tags"> <ul class="PagePromo-tagList"> <li class="PagePromo-tagList-item"><span class="Link">Hardware / Semiconductor</span></li> <li class="PagePromo-tagList-item"><span class="Link">Architecture / Engineering / Construction</span></li> <li class="PagePromo-tagList-item"><span class="Link">HPC / Scientific Computing</span></li> </ul> </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Product</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/dgx-superpod/index.html" data-cms-ai="0" >NVIDIA DGX SuperPOD</a> </div> <div class="PagePromo-date">03/17/23</div> <div class="PagePromo-description"> Deployment and management guides for NVIDIA DGX SuperPOD, an AI data center infrastructure platform that enables IT to deliver performance—without compromise—for every user and workload. DGX SuperPOD offers leadership-class accelerated infrastructure and agile, scalable performance for the most challenging AI and high-performance computing (HPC) workloads, with industry-proven results. </div> <div class="PagePromo-tags"> <ul class="PagePromo-tagList"> <li class="PagePromo-tagList-item"><span class="Link">Data Center / Cloud</span></li> </ul> </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Product</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/dgx-systems/index.html" data-cms-ai="0" >NVIDIA DGX Systems</a> </div> <div class="PagePromo-date">04/24/23</div> <div class="PagePromo-description"> System documentation for the DGX AI supercomputers that deliver world-class performance for large generative AI and mainstream AI workloads. </div> <div class="PagePromo-tags"> <ul class="PagePromo-tagList"> <li class="PagePromo-tagList-item"><span class="Link">Data Center / Cloud</span></li> </ul> </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Documentation Center</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/deeplearning/digits/index.html" data-cms-ai="0" >NVIDIA DIGITS</a> </div> <div class="PagePromo-date">02/03/23</div> <div class="PagePromo-description"> The NVIDIA Deep Learning GPU Training System (DIGITS) can be used to rapidly train highly accurate deep neural networks (DNNs) for image classification, segmentation, and object-detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best-performing model from the results browser for deployment. </div> <div class="PagePromo-tags"> <ul class="PagePromo-tagList"> <li class="PagePromo-tagList-item"><span class="Link">Architecture / Engineering / Construction</span></li> <li class="PagePromo-tagList-item"><span class="Link">Media & Entertainment</span></li> <li class="PagePromo-tagList-item"><span class="Link">Restaurant / Quick-Service</span></li> </ul> </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Documentation Center</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://www.nvidia.com/en-us/data-center/products/egx/" target="_blank" rel="noopener" data-cms-ai="0" >NVIDIA EGX</a> </div> <div class="PagePromo-date">01/23/23</div> <div class="PagePromo-description"> The NVIDIA EGX platform delivers the power of accelerated AI computing to the edge with a cloud-native software stack (EGX stack), a range of validated servers and devices, Helm charts, and partners who offer EGX through their products and services. </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Product</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://docs.nvidia.com/enterprise-services/index.html" data-cms-ai="0" >NVIDIA Enterprise Support and Services</a> </div> <div class="PagePromo-date">06/26/23</div> <div class="PagePromo-description"> NVIDIA’s accelerated computing, visualization, and networking solutions are expediting the speed of business outcomes. NVIDIA’s experts are here for you at every step in this fast-paced journey. With our expansive support tiers, fast implementations, robust professional services, market-leading education, and high caliber technical certifications, we are here to help you achieve success with all parts of NVIDIA’s accelerated computing, visualization, and networking platform. </div> </div> </div> </li> <li class="SearchResultsModuleInline-results-item"> <div class="PagePromo" data-use-tags> <div class="PagePromo-content"> <div class="PagePromo-category"> <span class="Link">Documentation Center</span> </div> <div class="PagePromo-title" > <a class="Link" href="https://developer.nvidia.com/flare" target="_blank" rel="noopener" data-cms-ai="0" >NVIDIA FLARE (Federated Learning Active Runtime Environment)</a> </div> <div class="PagePromo-date">02/03/23</div> <div class="PagePromo-description"> FLARE (Federated Learning Active Runtime Environment) is Nvidia’s open source extensible SDK that allows researchers and data scientists to adapt existing ML/DL workflow to a privacy preserving federated paradigm. 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