US transmission interconnection queue: power availability, not chip availability, gates new datacentre capacity (LBNL Queued Up 2026)
Fields
supply/grid-interconnection-queue-power-not-chipsNotes
THE REGIONS-ANGLE RECORD: WHERE THE CONSTRAINT IS POWER RATHER THAN SILICON. Berkeley Lab's 'Queued Up: 2026 Edition' (data through end of 2025, published 2026-05/06) is the primary dataset on this and the figures are stark. Over 2,060 GW of total generation AND STORAGE capacity was actively seeking grid connection; ~8,200 active projects comprising 1,312 GW of generation and ~749 GW of storage. Of that, 549 GW already holds a draft or executed interconnection agreement but has NOT reached commercial operation - 256 GW solar, 161 GW storage, 76 GW wind, 45 GW gas. The number that decides deployment timelines: 'The time projects spend in queues before reaching COD is increasing. For the regions with available data, the median duration from IR to COD was over 5 YEARS for projects built in 2025.' And the attrition: only 13% of capacity that requested interconnection in 2000-2020 had reached commercial operation by end of 2025, with 75% withdrawn and 10% still active. WHY THIS MATTERS FOR AN AI-INFERENCE BUYER SPECIFICALLY: a 1 MW IT deployment is a first-order load on a transmission system, and the ~5-year median IR-to-COD interval is the yardstick for how long new power takes - the same order of magnitude as, or longer than, GPU lead times. 'How long until I can deploy' is frequently a grid question even when the accelerator is sitting in a warehouse. It is also the strongest argument for preferring EXISTING power: brownfield capacity in an already-energised building skips this queue entirely, which argues for the colo tier-1 tier (8.3-20 kW/rack) over greenfield. IMPORTANT SCOPE LIMIT, STATED BECAUSE IT IS EASY TO OVERCLAIM: the LBNL dataset explicitly EXCLUDES load interconnection requests and distribution-connected or behind-the-meter projects, so this record bounds GENERATION-side availability of new power. A datacentre wanting to connect LOAD faces a separate and often faster load-connection queue that this dataset does not measure - anyone citing 'over 5 years' as the wait for a datacentre grid connection is citing the wrong queue. The 13%-realised figure is also about generation projects, most of which are wind and solar with different economics from a 24x7 firm datacentre load, so read it as evidence that the queue is slow and lossy in general, not as a precise forecast for any one project.
EXPORT CONTROL (2026-10-04, mechanism-level; sources spl-bis-2026-05-d5-guidance, spl-bis-2026-01-advanced-computing-case-by-case): renting capacity does NOT remove the export-control question, it relocates it. Providing remote access to controlled computing capability can constitute a transfer under the EAR, so the provider must screen the end user; and separately, under the 91 FR 1684 licence regime the consignee must run KYC procedures to prevent unauthorized remote access and must manage and limit IaaS access to the hardware - obligations pushed onto the customer, who must be told to implement them. For a customer headquartered or parented in Country Group D:5 or Macau the 742.6(a)(6)(iii)(A) end-user/parent test can bite even when the capacity is consumed in a permitted region. Recorded true because the underlying hardware is controlled and the provider carries the screening duty, not because access to a US region is itself restricted.
LEAD TIME: null - and for this record that is the WRONG QUESTION, which is the point worth recording. This record measures a build constraint that is not the accelerator supply chain: the lead time for a 120 kW liquid-cooled rack is set by construction, electrical service, and CDU/manifold plumbing, not by GPU allocation. Its own notes already make this argument for the colo case, so this entry only fixes the boundary: do not read a GPU lead time into a facility lead time, and do not read a facility lead time into a GPU lead time. No vendor publishes a weeks figure for either, so both stay null - probe log in source spl-negative-no-oem-publishes-lead-time. Where a real published horizon exists for the supply side it is on the accelerator record (NVIDIA's $95.2bn purchase and supply/capacity obligations substantially payable through FY2027, source spl-nvda-10k-fy2026-supply-commitments).