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The CLEER dashboard estimates the energy consumption and CO2 emissions of closed AI models using a new approach that combines research, empirical testing, and production data. It provides comparisons across models in chat and agentic sessions.
Emerald AI has formed the AI Energy Management Alliance with Google, Nvidia, and Anthropic to use demand response software, aiming to free up grid capacity for additional data centers, potentially enabling 100 gigawatts of new power.
A documentary film by the International Energy Agency uses satellite tracking to map global data centres, revealing that dedicated AI data centre capacity doubled in a year, with insights on energy consumption and grid challenges.
An interview with Zachary Dell, co-founder of Base Power Co, discussing energy abundance, AI power demands, battery technology, and business strategies in the energy sector.
Researchers at Penn State developed a memory device using synthetic DNA and perovskite that reduces power consumption by 100 times compared to conventional chips, potentially mitigating AI's energy demands by integrating memory and processing.
Amazon's planned Texas data center could become the largest climate polluter in the U.S., with an on-site natural gas plant permitted to release 33 million tons of CO2 per year. The report highlights growing environmental concerns around AI infrastructure and Amazon's carbon emissions, which rose 16% last year despite climate pledges.
Nearly 200 US utility companies and data center developers have signed a voluntary pledge to prevent AI-driven electricity cost increases from falling on consumers, but the pledge lacks enforcement mechanisms.
A report on the PJM market shows that data center electricity demand has caused $23 billion in price increases for customers by 2028. The article explains the complexity of cost allocation and the potential loopholes that allow data centers to pass costs to other customers.
Microsoft's greenhouse gas emissions rose 25% last year, driven by the expansion of data center infrastructure for AI, as reported in its new sustainability report.
Microsoft's 2026 sustainability report reveals a 25% increase in carbon emissions, driven by datacenter expansion and AI demands, and notes sustainability solutions are not keeping pace.
The article explores how Woodside Energy has been integrating AI across its industrial operations for over a decade, moving from predictive analytics to agentic systems like the 'Startup Advisor' copilot for LNG plant startups, aiming for an autonomous enterprise.
Donald Trump expresses concerns about Anthropic as a national security threat and discusses AI energy needs and regulation.
Researchers develop a brain-inspired phototransistor that senses and stores data, potentially reducing AI energy consumption.
Senator Cynthia Lummis is introducing the POWER Up Act, which would give the Federal Energy Regulatory Commission authority over data center connections to the power grid, addressing AI energy consumption concerns.
Data center and AI water use concerns are exaggerated; studies show data centers create local jobs and boost wages, and hyperscale facilities bring more benefits than older co-location centers.
The article suggests that rapidly growing AI computing demand could make power supply a bottleneck. China, with its decades of energy infrastructure investments, has a head start in this competition, while the US may be neglecting energy issues due to its intense focus on chips.
US Energy Secretary Chris Wright and NVIDIA’s Ian Buck discuss the Genesis Mission, a DOE effort to apply AI to scientific discovery, at the SCSP AI+ Expo. They highlight NVIDIA's partnership in building AI supercomputers and the importance of energy for AI.