Telecommunications Developer Resources
A hub of news, SDKs, technical resources, and more for developers working in telecommunications.
App Frameworks and SDKs
NVIDIA Aerial™ is an application framework for building high-performance, software-defined, GPU-accelerated 5G virtual radio access networks (RANs). NVIDIA Aerial provides two critical SDKs—cuVNF and cuBB—to help you optimize your results with parallel processing on GPU for baseband signals and data flow.
NVIDIA Morpheus is an open application framework that enables cybersecurity developers to 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 BlueField DPU, allowing continuous, real-time, and variable feedback that can affect policies, rewrite rules, adjust sensing, and other actions.
NVIDIA Metropolis is an application framework that simplifies the development, deployment and scale of AI-enabled video analytics applications from edge to cloud. It includes production-ready pre-trained models and Transfer Learning Toolkits for training and optimization, DeepStream SDK for streaming analytics, other deployment SDKs, CUDA-X libraries and the NVIDIA EGX platform.
The NVIDIA CloudXR™ SDK enables streaming of graphics-intensive augmented reality, virtual reality, or 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 Open VR applications to a number of 5G-connected Android devices.
Robotics and Automation
With the NVIDIA Isaac SDK™, you can build and deploy commercial-grade, AI-powered robots. The toolkit includes building blocks and tools that accelerate robot developments that require the increased perception, navigation, and manipulation features enabled by AI.
Explore ISAAC SDK
NVIDIA Maxine™ 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.
NVIDIA Riva 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.
Data Science and Analytics
The NVIDIA RAPIDS™ suite of open-source software libraries, built on CUDA-X AI™, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs..
Get Started with RAPIDS
The NVIDIA® DOCA™ SDK enables developers to rapidly create applications and services on top of NVIDIA BlueField® data processing units (DPUs), leveraging industry-standard APIs
Get Early Access
Machine Learning Library for 6G Research
NVIDIA Sionna™, a GPU-accelerated open source library for physical-layer research, enables rapid prototyping of complex communication system architectures and provides native support for machine learning in 6G signal processing.
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SoftBank Uses NVIDIA Maxine to Boost Video Conferencing
Learn how SoftBank achieved high-quality video conferencing using NVIDIA Maxine™ AI-based SDKs to improve communication for their users and overcome issues with 5G capacity and coverage.
Enabling GPU Acceleration in Near-Realtime RAN Intelligent Controllers
VMware and NVIDIA announced a Near-Real-Time RAN Intelligent Controller SDK that enables AI and machine learning-powered deployment and monetization of xApps at the 5G network edge.
Transforming Next-Generation Wireless with 5T for 5G and the NVIDIA Aerial SDK
NVIDIA Mellanox 5T for 5G technology provides a real-time and high-performance solution for building an efficient, time-synchronized CloudRAN infrastructure.
Palo Alto Networks and NVIDIA on 5G Cloud-Native Security
Find out how Palo Alto Networks and NVIDIA partnered to deliver a near-line rate speed of a next-generation firewall using data processing units (DPUs) for a 5G-native security solution.
Building an Accelerated 5G CloudRAN at the Edge
Network system developers are using the Aerial SDK to build massive multiple-input and multiple-output (MIMO)-capable, fully cloud-native RAN, supporting a wide range of next-generation AI and IoT services using commercial off-the-shelf (COTS) servers.
SoftBank Benchmarks vRAN with GPUs and the NVIDIA Aerial SDK
SoftBank carried out validation testing of the NVIDIA Aerial SDK, a cloud-native 5G vRAN solution running on NVIDIA GPUs, to test signal processing performance and ability to virtualize 5G base stations.
Limitless Extended Reality with NVIDIA CloudXR 2.0
NVIDIA CloudXR™ delivers immersive augmented and virtual reality over high-speed networks to low-cost, low-power headsets and mobile devices. Learn how CloudXR frees developers from hardware-level optimizations to focus on building better experiences.
Monetizing AI at the Edge of Your 5G Network
AI is transforming the high-value, revenue-generating services that telcos can deliver for their enterprise customers at the edge across super-fast 5G networks. Hear how 5G, AI, and the edge unlock a new revenue roadmap for telcos.
Unlocking the Power of 5G vRAN with Aerial SDK
Explore key features of the Aerial SDK and how it can be used to execute complex mathematical computations for L1 processing.
5G at the Edge
Find out how Verizon is pairing 5G with an NVIDIA Quadro RTX™ server on the network edge to create dynamic real-world applications for AR and VR. You'll also learn about the components necessary to create a GPU-based Edge Platform and how to offload GPU intensive processes to the mobile edge.
Accelerate Your Operations in Telecom with AI
Using NVIDIA GPU-accelerated solutions, telecom service providers can speed time to data and insights for higher network quality, optimized resource planning, and better customer service. Learn how these transformations enable telecom innovators to use AI-optimized models for maximized productivity at the lowest TCO.
Bring Real-Time AI to the Edge
AI is erupting at the edge. On factory floors. In stores. On city streets. In urgent care facilities. But it needs a cloud-native, scalable, GPU-accelerated platform that can drive decisions in real time and allow every industry to deliver automated intelligence to the point of action. Learn how to deploy AI at the edge with the NVIDIA EGX™ platform.
Programs for You
The NVIDIA Developer Program provides the advanced tools and training needed to successfully build applications on all NVIDIA technology platforms. This includes access to hundreds of SDKs, a network of like-minded developers through our community forums, and more.
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.
Accelerate Your Startup
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. Startups get access to training through the DLI, preferred pricing on hardware, and invitations to exclusive networking events.
NVIDIA Telecommunications News
NVIDIA AX800 Delivers High-Performance 5G vRAN and AI Services on One Common Cloud Infrastructure
The NVIDIA AX800 converged accelerator offers a new architectural approach to deploying 5G on commodity hardware on any cloud.
Transforming IPsec Deployments with NVIDIA DOCA 2.0
Announced in March 2023, NVIDIA DOCA 2.0, the newest release of the NVIDIA SDK for BlueField DPUs, is now available. Together, NVIDIA DOCA and BlueField DPUs accelerate the development of applications that deliver breakthrough networking, security, and storage performance with a comprehensive, open development platform. NVIDIA DOCA 2.0 includes newly added support for the BlueField-3 … Continued
Towards Environment-specific Base Stations: AI/ML-driven Neural 5G NR Multi-user MIMO Receiver
At this year’s Mobile World Congress (MWC), NVIDIA showcased a neural receiver for a 5G New Radio (NR) uplink multi-user MIMO scenario, which could be seen as a blueprint for possible 6G physical-layer architectures. For the first time, NVIDIA demonstrated a research prototype of a trainable neural network-based receiver that learns to replace significant parts … Continued
Microsoft and TempoQuest Accelerate Wind Energy Forecasts with AceCast
Accurate weather modeling is essential for companies to properly forecast renewable energy production and plan for natural disasters. Ineffective and non-forecasted weather cost an estimated $714 billion in 2022 alone. To avoid this, companies need faster, cheaper, and more accurate weather models. In a recent GTC session, Microsoft, and TempoQuest detailed their work with NVIDIA … Continued
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