Wireless networks are critical infrastructure. Connecting more devices than there are people on Earth. Soon, intelligent cameras, cars, and robots will create hundreds of billions of new connections.NVIDIA AI RAM modernizes wireless infrastructure into intelligent 5G and 6G networks, delivering scale, spectrum efficiency, and AI where the users are. In just 6 months, Nvidia and our partners built the first AI native wireless stack made in America, powered by Nvidia AI aerial. It's already running applicatio ...

Core Insights - NVIDIA has announced the development of America's first AI-native wireless stack for 6G, in collaboration with partners Booz Allen, Cisco, MITRE, ODC, and T-Mobile, aimed at advancing next-generation wireless technology [1][17]. Industry Developments - The demand for wireless networks is increasing as AI expands beyond smartphones to various devices, necessitating networks that can support billions of connections efficiently [2]. - AI-native networks are designed to optimize spectrum usage, with AI-RAN architecture integrating connectivity, computing, and sensing into a unified platform [3]. Technological Innovations - The AI-native wireless stack is built on the NVIDIA AI Aerial platform, enabling advanced features that enhance spectral efficiency and connectivity [4][17]. - The collaboration has led to the creation of a multimodal integrated sensing and communications (ISAC) application, which combines camera vision and radio-frequency sensing for improved object detection and tracking [7][9]. Performance Enhancements - Cisco's Cerberus ODC 5G RAN, powered by NVIDIA AI Aerial, achieves 7x greater cell capacity and 3.5x higher power efficiency compared to legacy systems [6]. - MITRE's AI-powered spectrum agility application allows real-time management of wireless spectrum allocation, significantly improving spectral efficiency by targeting only affected frequencies during interference [10][11]. Future Outlook - The AI-native wireless stack is expected to facilitate a paradigm shift in telecommunications from 5G to 6G, supporting hundreds of billions of connections and creating new revenue opportunities for telecom operators [15][17].

AI Native Telco Vision - The future telco is envisioned as an AI native telco, leveraging AI for operations, customer experience, and innovation acceleration [1][2] - Telecom networks are transitioning from connectivity providers to intelligence fabric providers, embedding compute-based intelligence [12] - AI is defining the future, and the future moves on telecom networks, requiring hundreds of billions of real-time connections [6][11] Market Adoption and Partnerships - 90% of the top 50 telcos are working with NVIDIA, and 97% of 450 telecom professionals surveyed are already using or planning to use AI [3] - Eighteen telcos worldwide are generating revenue through tokens, indicating a shift from traditional ARPU models [19] - NVIDIA is releasing its first AI blueprint for network operations, enabling network engineers to reconfigure parameters through agentic flow [31][32] Key Building Blocks for AI Native Telcos - A homogeneous, scalable, accelerated infrastructure is essential for any workload, built upon hardware and a disaggregated software layer [16][17][18] - Autonomous operations for networks, customers, and employees are enabled by large language models and agentic flows, leading to benefits like a 2x ROI and 22% capital savings [29][30] - A network capable of last-mile connectivity, supporting both 5G and AI native 6G, is crucial for distributing intelligence [40] - Digital twins enable simulation and visualization of network operations, facilitating the fusion of network operations AI across all parts of the network [63][64] 6G and AI RAN - 6G standards are being formed with a focus on AI, aiming to improve spectral efficiency through integrated sensing and semantic communications [44][46][47] - The AI RAN Alliance has grown to 75 member companies, demonstrating rapid movement through new partnerships [54] - AI RAN (AI fused with the Radio Access Network) is gaining pace, with examples of telcos fusing AI and RAN to deliver services like education and healthcare [53][56]

AI Native Wireless Networks Overview - NVIDIA AI Aerial is revolutionizing wireless systems by enabling neural networks to learn from data, adapt in real-time, and scale with complexity [1] - This approach boosts spectral efficiency, lowers costs, and improves connectivity in wireless networks [1] Key Steps & Technologies - Building AI native wireless networks involves three key steps: training, simulation, and deployment, all unified by NVIDIA AI Aerial [2] - NVIDIA uses Shauna and Aerial radio frameworks to train neural network models, replacing traditional 5G channel estimation algorithms [2] - The trained model is deployed on a live 5G network at NVIDIA using Aerial RAN computer [3] - NVIDIA provides the Shona research kit on NVIDIA Jetson, enabling developers to create a working AI model in a live 5G network with minimal code [5] Performance & Results - AI implementation nearly doubles the cell throughput [3] - AI achieves 100% higher throughput on a live 5G network [4] - The AI model continuously improves over time through a feedback loop between the physical and virtual worlds [4] Future Implications - Improved AI models will boost capacity, unlock new applications, increase efficiency, and extend coverage [5] - NVIDIA encourages participation in the 6G developer program to accelerate AI native wireless research [5]