Connected Vehicles

Infrastructure for the Autonomous Future

Deploy roadside edge compute, V2X communication, and fleet AI that enables safer, smarter transportation at scale.

Overview

Enable V2X communication, fleet intelligence, and autonomous vehicle infrastructure with distributed edge compute.

Deploy GPU-accelerated compute at intersections and corridors for real-time traffic AI and V2X processing.

Real-time vehicle health, driver behavior, and route optimization across thousands of connected vehicles.

Vehicle-to-everything protocols for collision avoidance, traffic signal priority, and emergency vehicle preemption.

Crowd-sourced HD map updates processed at the edge. Keep autonomous systems current with road conditions.

AI models predict component failures before they happen. Reduce downtime and maintenance costs by 40%.

Optimize charging schedules, predict demand, and manage grid load with edge-processed fleet data.

V2X warnings and AI-assisted driving reduce collision rates at equipped intersections by up to 80%.

Predictive maintenance, route optimization, and fuel/energy efficiency reduce total cost of ownership.

Roadside compute provides the low-latency infrastructure that autonomous vehicles need for safe operation.

Edge infrastructure deployed today supports progressively autonomous vehicle capabilities as they mature.

Deploy intelligent transportation infrastructure that makes roads safer and fleets smarter.

Transform stadiums, arenas, and convention centers into intelligent, connected experiences with private AI and edge compute.

Elevate hotels, resorts, and multi-family properties with AI-powered connectivity, private networks, and guest intelligence.

Power public WiFi, connected infrastructure, and citizen services with decentralized AI and edge compute.