Capacity is not a date
A region may have abundant generation and still lack a near-term path to serve a specific AI campus. Transmission constraints, substation work, interconnection studies, equipment lead times, permitting, and commercial dependencies determine when a load can actually energize.
The cost of waiting belongs in the model
A lower electricity price can lose its advantage when a project carries years of delay, uncertain upgrade costs, missed compute revenue, or the risk that a queue position never becomes deliverable service. Time-to-power is therefore both a schedule metric and an economic metric.
Confidence must accompany the date
A useful schedule distinguishes completed milestones from estimates and aspirations. LighterGrid treats evidence quality, dependencies, ownership, and freshness as part of the timing conclusion rather than presenting one unsupported ready-for-service date.
Flexible compute changes the opportunity set
Workloads that can shift geography, timing, or utilization may access infrastructure pathways that rigid deployments cannot. TerraCompute uses that flexibility to identify opportunities where power and infrastructure can be matched to the workload rather than forcing every workload into the same market.