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Reporting and discussion about Compute & Energy, with links to the original sources.
Architect Labs says its AI designed the Redwood accelerator from a two-architect spec, reaching verified FPGA deployment in two weeks; its 3.4× efficiency edge over Nvidia's Jetson is a projection for an unbuilt chip.
Peter Diamandis, after meeting SK hynix and Solidigm leaders, argued memory, not GPUs, now limits AI. Panelists blamed new AI workloads and bust-wary suppliers, and floated etching model weights into chips as a possible fix.
Salim Ismail argued Apple's 512GB Mac Studio turns AI spending from a per-token bill into an owned capital asset for law firms and mid-sized healthcare groups. Fellow panelist Dave called it a tiny step by a company he says has no AI strategy.
Moonshots panelist Alex floated a hypothetical in which OpenAI rents Jalapeño inference-chip capacity to rivals, after the panel relayed OpenAI's own claimed gains over NVIDIA chips and argued inference is moving off NVIDIA.
The viral figure of 627 million gallons a day for data-center water matches Berkeley Lab's 2023 national estimate, but most is consumed at power plants and it can't show what one proposed site would draw locally.
Energy investor Ramez Naam argued that physics and engineering, not regulation, remain the barriers to Helion's Microsoft power deal. Meeting its 2028 target needs whole-plant energy gain, durable parts and affordable electricity.
Ramez Naam says AI demand could finance multi-plant nuclear orders that may lower costs, but doubts small reactors can supply power within the five-year window he sees as predictable, and expects their roughly 2030 schedules to slip.
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.