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LITEON and SUTD push AI-RAN toward real-time edge inference

LITEON, SUTD, and NeuroRAN demonstrated an AI-RAN setup that partitions models across 5G infrastructure for privacy-preserving, energy-aware edge AI.

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LITEON's Computex collaboration with Singapore University of Technology and Design and NeuroRAN adds a telecom angle to the AI infrastructure wave. The companies showcased an AI-RAN system that integrates AI into 5G radio access networks, including a DGX Spark-compatible O-RAN small cell. The technical hook is dynamic model partitioning: some model work can run near the radio edge, while more demanding tasks can move to stronger compute. The partners point to real-time video object detection with Swin Transformer-style models as a target application. This is still a demonstration rather than broad deployment, so confidence is medium, but it matters because AI-RAN is one path carriers are exploring to make edge inference private, low-latency, and less energy hungry.

Key details: June 4, 2026, LITEON, Singapore University of Technology and Design, NeuroRAN, Computex 2026, AI-RAN, O-RAN small cell, Nvidia DGX Spark-compatible.

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