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Briefings and ideas about Data centers from AI podcast discussions and the research they cite, with links to the original sources.
Ramez Naam argues new AI data centers can be sited beside abundant solar and batteries instead of moving power to existing demand. He says winter storage is harder to pay off than overnight storage, and land, permits and legal protections matter.
Ramez Naam estimates space-based AI could compete on cost if launch prices fall to a quarter to a tenth of current levels, a rough guess. He says building and launching enough hardware, with permits and reliability, is a separate hurdle.
Ramez Naam passed on Panthalassa's early Bitcoin pitch but has since invested in its wave-powered, seawater-cooled ocean AI computers. Its 2-cent/kWh power cost is a target; northern-Pacific pilots are planned for 2026.
Ramez Naam predicts AI-written kernels could erode NVIDIA's CUDA lock-in in 2026–2027, easing switches to rival chips. Panelists noted NVIDIA's fast chip-to-chip links still matter, even as more work shifts to inference.
Energy investor Ramez Naam argued AI data centers could connect to the grid sooner by cutting power use at peak times through job scheduling or batteries, though national spare-capacity estimates don't guarantee power at any site.
Towns hosting AI data centers should negotiate for cheaper power and school funding, a Moonshots panel argued; one panelist proposed “universal basic electricity” but gave no terms. Meta says its investments enabled teacher bonuses.
NVIDIA signed memorandums with six financial firms aiming to mobilize over $500 billion for customers' AI infrastructure. On Moonshots, panelists debated whether GPUs can back long-term financing before newer chips undercut their earnings.