Aethir Ecosystem(@AethirEco):Gartner projects $401B in new AI infrastructure spending for 2026. Cast AI measured average enterprise GPU utilization at 5% across 23,000 production clusters. Both numbers are true at once, which tells you the problem is not capacity. It is architecture. Enterprises reserve private capacity sized for peak, then pay for it at trough. Aethir runs the opposite structure: enterprise GPU supply from independent operators worldwide, aggregated into a single orchestrated pool and maintained at 95%+ utilization, because an idle GPU serves another workload rather than no workload.

2026.11.05 11:05

Gartner projects $401B in new AI infrastructure spending for 2026. Cast AI measured average enterprise GPU utilization at 5% across 23,000 production clusters. Both numbers are true at once, which tells you the problem is not capacity. It is architecture. Enterprises reserve private capacity sized for peak, then pay for it at trough. Aethir runs the opposite structure: enterprise GPU supply from independent operators worldwide, aggregated into a single orchestrated pool and maintained at 95%+ utilization, because an idle GPU serves another workload rather than no workload.