Tag
Taiwanese startup Skymizer unveiled the HTX301, a PCIe AI accelerator that uses older 28nm chips and DDR memory to run 700B parameter LLMs locally at just 240W, challenging high-power GPU solutions from Nvidia and AMD.
A PNAS study finds that converting just 3.2 % of US corn-for-ethanol farmland to solar could match all current corn ethanol energy output, as solar is 31× more land-efficient.
Empirical study on four 30B-class dense and MoE models showing Gemma-4 26B MoE delivers equal accuracy at 1.9–15 Wh while dense and larger MoE variants consume up to 34 Wh for the same reasoning tasks.
NVIDIA and Emerald AI unveiled a collaborative approach at CERAWeek to treat AI factories as flexible grid assets, improving energy efficiency and grid reliability through intelligent power management. The initiative partners with major energy companies to optimize AI workload operations based on grid conditions while maximizing tokens per second per watt.
Emerald AI demonstrated how power-flexible AI factories can autonomously adjust electricity consumption to stabilize grid demand, using NVIDIA GPUs and infrastructure at a London data center to absorb peak power surges without disrupting critical workloads.
Andrew Ng argues that concerns about data centers' carbon emissions, electricity prices, and water use are overstated, and that blocking data center construction would harm the environment more than help it.