Aiso Romoland

Last updated

Aiso Romoland is a data center in Los Angeles, US. The facility is currently announced. It sits in the Los Angeles data-center market on the CAISO grid, which DC Hub's Data Center Power Index currently rates CAUTION, with an estimated 57.3-month time-to-power. The market shows mixed signals — validate live grid headroom and queue depth before committing capacity.

Status
Announced
City
Los Angeles
Country
US

What changed

Changes DC Hub has recorded to this facility’s record, newest first.

Market intelligence

CAUTION

Data Center Power Index verdict for Los Angeles — the market this facility sits in.

Full DCPI breakdown →

Market context

DC Hub analyst read on Los Angeles — the market this facility sits in (full deep-dive →).

Los Angeles operates at a critical inflection point, with 383 MW of capacity spread across 203 tracked facilities signaling mature supply but constrained by both power availability and interconnection bottlenecks. The excess-power score of 63/100 indicates available cabinet and rack inventory, yet the constraint score of 58/100—indicating moderate-to-severe pressure on grid and infrastructure—presents the market's core friction. This paradox reflects a market saturated with physical space but strangled by utility capacity and backhaul limitations, a dynamic that has begun attracting significant capital attention from diversified acquirers seeking exposure to California's data-intensive sectors. The dual-metric CAUTION verdict signals that opportunistic buyers should focus exclusively on off-market or distressed assets capable of generating economics through operational improvement…

Market & grid context

Published DC Hub data for this location.

MarketLos Angeles
Grid operatorCAISO
DC Hub Power IndexCAUTION
Est. time to power57.3 months
LocationLos Angeles, US

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Data: DC Hub global infrastructure database · Raw JSON
Live grid, fiber & DCPI context for this facility — AI agents: query DC Hub MCP get_facility slug="aiso-romoland-7835c525" (endpoint https://dchub.cloud/mcp) for the full cited record. Connect: https://dchub.cloud/connect
Schema, units and the population behind every count: https://dchub.cloud/bind