T-Mobile Deploys NVIDIA ARC-Pro Servers on 5G Standalone for 5× Faster AI
T-Mobile and NVIDIA have launched AI-RAN infrastructure using NVIDIA ARC-Pro and RTX PRO 6000 Blackwell servers with Nokia's anyRAN software on T-Mobile’s 5G Standalone network to enable distributed edge AI computing. Pilot projects by LinkerVision, Levatas and Skydio target 5× faster incident response in smart cities and utility inspections.
1. AI-RAN Infrastructure Deployment
T-Mobile has integrated NVIDIA’s AI-RAN portfolio—ARC-Pro powered by RTX PRO 4500 Blackwell servers for cell sites and RTX PRO 6000 Blackwell servers for mobile switching offices—onto its nationwide 5G Standalone network using Nokia’s anyRAN software. This setup provides low-latency, secure and scalable edge computing capabilities across wireless sites.
2. Developer Ecosystem and Pilot Projects
An expanding ecosystem including LinkerVision, Inchor, Voxelmaps, Levatas, Skydio, Vaidio and Fogsphere is testing vision AI agents on T-Mobile’s distributed edge network. Use cases span smart city traffic optimization with 5× faster incident response, automated utility inspections across transmission lines, facility management threat detection and real-time industrial safety monitoring.
3. Metropolis VSS Blueprint Integration
The NVIDIA Metropolis VSS 3 Blueprint enables agentic information retrieval and a modular architecture, allowing AI agents to break down natural language queries and search video footage in under five seconds across edge and cloud nodes. This framework supports efficient deployment of complex vision AI models at scale.
4. Strategic Implications
By transforming its wireless network into a distributed AI computing platform, T-Mobile aims to reduce device hardware costs, improve service differentiation and position itself as a foundation for next-generation AI applications across cities, utilities and industrial worksites.