Capgemini pilots AI-RAN-connected autonomous shuttles under Horizon Europe's Project ULTIMO
CapgeminiNVIDIA Jetson Orin · NVIDIA AI-RAN servers · 5G
Capgemini is working within Project ULTIMO, a Horizon Europe-funded initiative, to demonstrate AI-RAN support for large-scale autonomous mobility across European cities. Autonomous shuttles equipped with NVIDIA Jetson Orin modules process sensor data locally, while select video and telemetry streams are sent over 5G to agentic AI applications running on NVIDIA AI-RAN servers for scene understanding, incident and safety detection, and accessibility insights, with mission-critical 5G traffic given priority access to GPU resources.
Overview
Capgemini is working within Project ULTIMO, a Horizon Europe-funded initiative, to demonstrate AI-RAN support for large-scale autonomous mobility across European cities. Autonomous shuttles equipped with NVIDIA Jetson Orin modules process sensor data locally, while select video and telemetry streams are sent over 5G to agentic AI applications running on NVIDIA AI-RAN servers for scene understanding, incident and safety detection, and accessibility insights, with mission-critical 5G traffic given priority access to GPU resources.
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Inspect the highlighted sourceThe challenge
Autonomous mobility services need networks that can support real-time scene understanding, incident and safety detection at scale, while preserving low latency for mission-critical 5G traffic alongside AI workloads on shared infrastructure.
The solution
Within Project ULTIMO, a Horizon Europe-funded initiative, Capgemini is showing how AI-RAN can support large-scale autonomous mobility services across European cities. Autonomous shuttles equipped with the NVIDIA Jetson Orin module process sensor data locally, while select video and telemetry streams are sent over 5G to agentic AI applications running on NVIDIA AI-RAN servers. These workloads handle scene understanding, incident and safety detection, and accessibility insights at scale, while mission-critical 5G traffic is given priority access to GPU resources.
Sources
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