RAN-in-the-Cloud: Utilization and New Services Breakthroughs - Amar Kapadia, Aarna Networks & Shuvo Chowdhury, NVIDIA#

Amar Kapadia, Co-Founder and CEO, Aarna Networks, and Shuvo Chowdhury, Principal Product Manager, NVIDIA

• Why: RAN is the largest capex/opex line for operators and runs at 25–50% utilization; cloudifying it as a multi-tenant, containerized workload on shared GPU infrastructure is a notable utilization-and-monetization play relevant to anyone thinking about GPU cluster economics.
• What: The argument and implementation direction for running RAN as a service in multi-tenant cloud infrastructure, containerized alongside other workloads — cutting operator costs, improving sustainability, and enabling edge services such as GenAI on the same infrastructure. (from abstract only)
• How: RAN functions containerized on shared, multi-tenant cloud/GPU infrastructure (NVIDIA AI/5G datacenter products plus Aarna's orchestration), with utilization gains and new edge service monetization as the payoff.
• Where applicable: Operators and private-5G deployments with GPU-equipped edge sites; vendor-led (NVIDIA/Aarna), so the utilization claims and cost math deserve independent verification.