Aegis
Executive perspectives from Aegis across NextGenInfra's event and research showcases.
1 video interview · 2026
AI Cooling Tech Evolution
- Every watt a GPU draws creates a matching thermal obligation, so power and cooling have to be solved as one problem as AI compute density climbs.
- Cooling is moving from air to single-phase and two-phase direct-to-chip, which works only when the system is engineered as a whole rather than assembled from standalone components.
- Power compute effectiveness is the metric that matters — the share of each watt that reaches the GPU rather than the supporting infrastructure.
Abstract
Jeff Moore, VP of Strategic Partnerships at Aegis, participates on a panel at AI Infra in Santa Clara discussing thermal and power challenges created by high-wattage AI compute GPUs, which are driving the evolution from air cooling to advanced direct-to-chip cooling solutions. He emphasizes power compute effectiveness as a critical metric for maximizing GPU watt allocation and highlights the industry's long-term commitment to solving these infrastructure challenges.