What this indicator measures
This indicator approximates the amount of GPU compute time consumed by AI-related workloads.
Calculation method
The estimate translates AI activity signals into equivalent GPU-hours using hardware and workload assumptions.
Simplified formula
GPU-hours ≈ AI workload volume × estimated GPU time per workload unitData sources
Sources may include public AI usage indicators, benchmark assumptions, GPU specifications, model training reports and infrastructure research.
Known limitations
Actual GPU time varies widely depending on model architecture, hardware generation, batching, optimization and utilization rate.
Refresh and interpolation
The counter is periodically synchronized server-side and interpolated live between updates.