126 articles
U.S. transformer supply could fall 30% short of AI demand by 2030, and Johns Hopkins researchers warn the grid equipment gap may slow AI faster than power.
Quantum computing can cut nuclear reactor simulation time from weeks to hours, and AI is already being used to redesign the next generation of reactors.
Optical chips are replacing copper wires in data centers, cutting heat and power as the MicroLED interconnect market races toward $722 million by 2033.
AI data center liquid cooling is projected to surge from $3.2 billion to $17.8 billion by 2036 as GPU heat loads push air cooling to its limits.
AI can now calculate a laptop's carbon footprint in one minute, matching human expert accuracy and exposing the vague sustainability claims tech companies.
Geopolitical shocks and AI's soaring power demands are fueling a global nuclear power renaissance, with Japan, China, and the U.S. all racing to expand.
Advanced battery systems designed for extreme power demands are reshaping AI data center infrastructure, offering smaller footprints, lower costs, and.
Schneider Electric and Foxconn will launch integrated AI data centers this year, targeting energy efficiency as data centers approach 3% of global.
AI power supply units will grow from $560M to $6.3B by 2036 as GPU clusters demand specialized infrastructure, creating a hidden bottleneck.
NuScale opens nuclear training center as AI energy demand drives mixed investor reactions, with insiders selling while institutions invest millions.
ROMA Green Finance bets on sub-50MW distributed AI data centers with on-site renewable power, challenging the hyperscale model's energy demands.
Network equipment consumes 15-25% of AI data center power, prompting chip makers like Marvell to develop specialized switches for efficiency.
Ireland considers lifting its nuclear ban to power AI data centers with small reactors, but experts warn the technology won't be ready until 2045.
The NRC bets small modular reactors could power AI data centers by 2030, but financing and workforce shortages pose bigger risks than licensing.
Amazon cut data center water use by 52% since 2021 while scaling AI infrastructure, proving massive computational growth doesn't require proportional.
UNESCO will launch a global workshop in October 2026 to tackle AI's energy consumption paradox while advancing sustainable development goals.
Asian governments are racing to deploy small modular reactors to power AI data centers, with Singapore hosting a major nuclear summit in 2026.
Quantum computing could slash AI's massive energy demands, with one problem solved in minutes using $1 of electricity versus a million years classically.
The NRC approved America's first molten salt reactor construction permit in September 2024, setting a historic precedent for advanced nuclear technology.
European universities develop carbon-aware AI prototypes at Green AI Hackathon, tackling artificial intelligence's massive 60-70 TWh annual energy.
NVIDIA-backed startup Span is installing enterprise GPU clusters outside homes to bypass years-long data center delays, covering residents' utility bills.
MIT startup adapts nuclear reactor cooling to cut AI data center energy waste by 35% while using zero water, addressing power grid strain.
Indonesia's new AI-ready 5G network will cut energy costs by processing AI workloads at the network edge instead of distant data centers.
Eagle Nuclear partners with AI firm to accelerate small modular reactor design, combining 32.75 million pounds of uranium resources with advanced.
AI data centers consume massive amounts of water for cooling, creating sustainability risks that could disrupt operations in drought-prone regions.
China's AI data center market will explode from $42 billion to $336 billion by 2032, driven by massive power and cooling infrastructure demands.
Tech giants are investing billions in small modular reactors to power AI data centers that consume 80 MW each, double standard facilities.
Clean energy companies are thriving despite funding drops as fossil fuel price shocks drive businesses to invest for energy security, not just climate.
Data centers are using AI to cut their own power bills by up to 20%, turning their biggest operational challenge into a competitive advantage.
Korea's research institute won approval for a molten salt reactor-powered cargo ship design, marking the first major step toward nuclear-powered.
Data centers now consume 25% of Virginia's electricity and could double demand by 2028, creating vastly different rate impacts across states.
Orbital data centers could solve AI's power crisis with unlimited solar energy, but only if chips use new heat-radiating designs instead of GPUs.
South Korea's early nuclear investment is paying off as AI power demands surge, with TerraPower's reactors costing half of traditional plants.
Tech companies plan to install AC-sized AI data centers on homes, potentially cutting your power bill while distributing massive computing loads.
Sweden's first advanced nuclear reactor park could generate 330 megawatts to power AI data centers, using new government financing to meet doubling.
AI data centers are consuming so much memory that automakers, medical device makers, and telecom companies face shortages lasting until 2027.
African nations adopt the Malabo Declaration, a groundbreaking framework connecting AI development to climate goals and sustainable energy practices.
Small modular reactors promise faster nuclear deployment for AI data centers, with DP World studying SMRs to power ports by 2030.
Energy intelligence is becoming critical as AI workloads drive data center power costs up 25% annually, forcing 100% of executives to track consumption.
AI-optimized floating solar panels boost energy efficiency by 8.5% while cutting material degradation 12.1% compared to ground systems.
Modular gas plants can power AI data centers in 12-18 months while nuclear takes decades, creating a speed advantage worth 6,600 megawatts.
AI data centers could consume 400-600 TWh by 2030, but grid capacity, not computing power, may become the real bottleneck limiting growth.
Imperial College London partners with tech firms to develop AI-powered smart buildings using digital twins and real-time sensing technology.
Meta commits $1.2 billion to nuclear power deals securing 6.6 gigawatts by 2035, abandoning renewables as AI's 24/7 demands force tech giants to act like.
Tech giants are embedding AI energy efficiency into manufacturing, with TCL achieving 97% water recycling and 155M kWh solar generation annually.
Xos launches 2.5MWh Power Hub that energizes data centers in days, not years, bypassing grid delays that now stretch three to seven years.
Ten EU nations push to label nuclear power as sustainable for AI data centers, challenging current rules that exclude zero-carbon nuclear energy.
Supermicro's new Intel Xeon 6+ servers pack 576 cores per system while cutting data center power bills through breakthrough efficiency gains.
Small businesses are using AI for unexpected sustainability gains through inclusive hiring and employee well-being, not just energy efficiency.
South Korea's potential NuScale investment could validate small modular reactors for AI power needs, but the company still lacks any commercial contracts.
