Maximizing GPU Utilization: Turning Multi-Tenant AI Infrastructure into a Margin Engine - Seguridad Mania.com - España y América Latina

The GPU Cloud market is experiencing explosive growth, fueled by massive capital investment and a wave of new entrants. As competition intensifies, monetization is no longer optional. It is essential for survival. But monetization does not begin with pricing models or GPU rental strategies. It begins with utilization control. In multi-tenant AI environments, fragmented scheduling, siloed clusters, and limited workload visibility create invisible margin leakage. Scaling GPU capacity without platform-level coordination increases operational complexity, but not necessarily profitability. In this session, we’ll explore how leading AI infrastructure teams move beyond raw capacity expansion and treat utilization as a strategic lever for margin expansion. We’ll break down: • Where margin erosion occurs in multi-tenant GPU clouds • Why GPU-as-a-Service alone cannot guarantee sustainable monetization • How GPU-aware orchestration improves yield across tenants • Why a centralized platform layer is essential to coordinate clusters, workloads, and governance at scale If monetization is your goal, utilization control is the starting point. Join us to understand the architectural foundations required to turn AI infrastructure into a true margin engine.