Telco Industry: Find SDKs & Technical Resources

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} } @media only screen and (max-width: 659px) { .#sample-banner-4 { background-image: url(https://d29g4g2dyqv443.cloudfront.net/sites/default/files/akamai/gtc-lockup-333-background-png-bb300-p@2x.png); background-size: 660px 280px; } } @media only screen and (min-width: 1024px) and (max-width: 1366px) { #sample-banner-4 { background-image: url(https://d29g4g2dyqv443.cloudfront.net/sites/default/files/akamai/gtc-lockup-333-background-png-bb300-l@2x.png); background-size: 1366px 280px; } } </style> <div class="sct-bg--s sct-vert-cntr sct-vert-top--m hero-image--1"> <div class="cntnr--cw"> <div class="row"> <div class="col-lg-6 col-md-6 col-sm-6 col-xs-12"> <h1 class="h--large text-nv-green">Telecommunications Developer Resources</h1> <p class="content-l"><font color="#ffffff">A hub of news, SDKs, technical resources, and more for developers working in telecommunications.</font></p> </div> </div> </div> </div> <br> <section class="sct--s"> <div class="cntnr--cw"> <h2 class="h--medium txt-cntr">App Frameworks and SDKs</h2> <br>  <div class="row"> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest">5G/6G RAN</h4> <p><a href="/aerial-cuda-accelerated-ran">NVIDIA Aerial™ CUDA®-Accelerated RAN</a> is an application framework for building commercial-grade, software-defined, GPU-accelerated, cloud-native 5G and 6G networks. The Aerial CUDA-Accelerated RAN platform is the key building block for the accelerated 5G virtualized distributed unit (vDU) and has been deployed in commercial and research networks.</p> <br> <strong><a class="cta--tert" href="/aerial-cuda-accelerated-ran">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest">AI Frameworks (RAN)</h4> <p> <a href="/aerial-ai-radio-frameworks">NVIDIA Aerial AI Radio Frameworks</a> provide a package of AI enhancements that enable training and inference in the RAN. The framework tools—<a target="_blank" href="https://docs.nvidia.com/aerial/cuda-accelerated-ran/pyaerial/index.html">pyAerial</a>, <a target="_blank" href="https://docs.nvidia.com/aerial/data-lake/current/index.html">NVIDIA Aerial Data Lake</a>, and <a href="/sionna/">NVIDIA Sionna</a>—span the research space from AI and machine learning algorithm exploration, training, and inference to simulation and real-time implementation in a GPU-accelerated, over-the-air network testbed.</p> <br> <strong><a class="cta--tert" href="/aerial-ai-radio-frameworks">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest">Network Digital Twin</h4> <p> The <a href="https://developer.nvidia.com/aerial-omniverse-digital-twin">NVIDIA Aerial Omniverse™ Digital Twin</a> is a next-generation, system-level simulation platform for performing cutting-edge research and development on 5G and 6G wireless systems and optimizing network planning and operations. It’s the unique tool for benchmarking system performance and exploring machine learning-based wireless communication algorithms under real-world conditions.</p> <br> <strong><a class="cta--tert" href="/aerial-omniverse-digital-twin">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest">Generative AI</h4> <p> <a target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/products/nemo/">NVIDIA NeMo</a>™ is an end-to-end platform for developing custom generative AI—including large language models (LLMs), multimodal, vision, and speech AI—anywhere. Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented generation (RAG), and accelerated performance.</p> <br> <strong><a class="cta--tert" target="_blank" href="https://www.nvidia.com/en-us/ai-data-science/products/nemo/">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> </div> <div class="seperator"><br></div>  <div class="row"> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest">DOCA</h4> <p> The <a href="/networking/doca">NVIDIA DOCA™ SDK</a> enables developers to rapidly create applications and services on top of NVIDIA® BlueField® data processing units (DPUs), leveraging industry-standard APIs.</p> <br> <strong><a class="cta--tert" href="/networking/doca">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest">Cybersecurity</h4> <p> <a href="/morpheus-cybersecurity">NVIDIA Morpheus</a> is an open application framework that lets cybersecurity developers create optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data. Morpheus can send and receive telemetry data directly from the <a target="_blank" href="https://www.nvidia.com/en-us/networking/products/data-processing-unit/">BlueField DPU</a>, allowing continuous, real-time, and variable feedback that can affect policies, rewrite rules, adjust sensing, and more.</p> <br> <strong><a class="cta--tert" href="/morpheus-cybersecurity">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest ">Computer Vision</h4> <p> <a href="/metropolis">NVIDIA Metropolis</a> is an application framework that simplifies the development, deployment, and scaling of AI-enabled video analytics applications from edge to cloud. It includes production-ready, <a href="/transfer-learning-toolkit">pretrained models and transfer learning toolkits</a> for training and optimizing models, the <a href="/deepstream-sdk">NVIDIA DeepStream SDK</a> for streaming analytics, other deployment SDKs, <a href="/gpu-accelerated-libraries">CUDA-X</a>™ libraries, and the <a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/egx/">NVIDIA EGX</a>™ platform.</p> <br> <strong><a class="cta--tert" href="/metropolis">Explore Tools <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-3"> <div class="panel-body"> <h4 class="h--smallest">AR/VR</h4> <p> The <a href="/nvidia-cloudxr-sdk">NVIDIA CloudXR™ SDK</a> enables streaming of graphics-intensive augmented reality (AR), virtual reality (VR), and mixed reality content—often called extended reality (XR)—over a radio signal (5G or Wi-Fi) to one or more devices. The SDK also enables streaming of OpenVR applications to a number of 5G-connected Android devices.</p> <br> <strong><a class="cta--tert" href="/nvidia-cloudxr-sdk">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> </div> <div class="seperator"><br></div>  <div class="row"> <div class="col-md-4"> <div class="panel-body"> <h4 class="h--smallest">Data Science and Analytics</h4> <p> The <a href="/rapids">NVIDIA RAPIDS™</a> suite of open-source software libraries, built on CUDA-X AI™, gives developers the ability to execute end-to-end data science and analytics pipelines entirely on GPUs.</p> <br> <strong><a class="cta--tert" href="/rapids">Get Started With Rapids <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-4"> <div class="panel-body"> <h4 class="h--smallest">Conversational AI</h4> <p> <a href="/riva">NVIDIA Riva</a> is an SDK for building and deploying AI applications that fuse vision, speech, and other sensors. It offers a complete workflow to build, train, and deploy GPU-accelerated AI systems that can use visual cues such as gestures and gaze along with speech in context.</p> <br> <strong><a class="cta--tert" href="/riva">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> <div class="col-md-4"> <div class="panel-body"> <h4 class="h--smallest">Video Conferencing</h4> <p> <a href="/maxine/">NVIDIA Maxine™</a> is a GPU-accelerated SDK with state-of-the-art AI features for developers to build virtual collaboration and content creation applications such as video conferencing and live streaming. </p> <br> <strong><a class="cta--tert" href="/maxine/">Learn More <span class="fas fa-angle-right fa-fw"></span></a></strong> </div> </div> </div> </div> </section>  <div class="seperator"><br></div> <h2 class="h--medium txt-cntr">Browse by Resource Type</h2> <ul class="nav nav-tabs justify-content-center"> <li class="nav-item active"> <a class="nav-link active" data-toggle="tab" href="#news"><div class="p--medium text-nv-green"><strong>News</strong></div></a> </li> <li class="nav-item"> <a class="nav-link" data-toggle="tab" href="#on-demand"><div class="p--medium text-nv-green"><strong>On-Demand Talks</strong></div></a> </li> </ul> <div class="tab-content"> <div class="tab-pane active" id="news"> <section class="sct--s"> <div class="cntnr--cw"> <div class="row"> <feed-aggregator industry='telecommunications' tags='549' per-page='4'></feed-aggregator>  </div> </div> </section> </div> <div class="tab-pane " id="on-demand"> <section class="sct--s"> <div class="cntnr--cw"> <div class="container"> <div class="row"> <div class="col-12" style="margin-top: 1em; margin-bottom: 1em;"> <div id="nvidia-gallery-widget1" class="widget"> </div> </div> </div> </div> <script> window.nodWidgets = [{ id: 'nvidia-gallery-widget1', destination: 'https://www.nvidia.com/en-us/on-demand/playlist/playList-88ccf780-7bbe-40d0-a689-ba53e80f052b/', type: 'playlist', playlistId: 'playList-88ccf780-7bbe-40d0-a689-ba53e80f052b', header: 'Telecom Developer Talk Highlights', }] </script> </div> </section> </div> </div> <style> .cta-padding{ padding-top: 15px !important; } </style> <section class="sct--s sct--lt-gry1"> <div class="cntnr--cw"> <h2 class="h--medium txt-cntr">Programs for You</h2> <div class="row"> <div class="col-md-3"> <div class="card"> <div class="card-cntnt-cntnr"> <div> <h4 class="h--smallest txt-clr--blck">6G Developer Program</h4> <p > The NVIDIA 6G Developer Program provides access to platforms, documentation, and software releases to advance cutting-edge 6G research. 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This includes access to hundreds of SDKs, a network of like-minded developers through our community forums, and more.</p> </div> <a class="cta--tert mt-auto cta-padding" href="/developer-program">Join Today <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-md-3"> <div class="card"> <div class="card-cntnt-cntnr"> <div> <h4 class="h--smallest txt-clr--blck">Technical Training</h4> <p >NVIDIA Deep Learning Institute (DLI) offers hands-on- training in AI, accelerated computing, and accelerated data science to solve real-world problems. Powered by GPUs in the cloud, training is available as self-paced, online courses or live, instructor-led workshops.</p> </div> <a target="_blank" class="cta--tert mt-auto cta-padding" href="https://www.nvidia.com/en-us/training/">View Courses <span class="fas fa-angle-right fa-fw"></span></a> </div> </div> </div> <div class="col-md-3"> <div class="card"> <div class="card-cntnt-cntnr"> <div> <h4 class="h--smallest txt-clr--blck">Accelerate Your Startup</h4> <p >NVIDIA Inception—an acceleration platform for AI, data science, and HPC startups—supports over 7,000 startups worldwide with go-to-market support, expertise, and technology. 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