390 articles
AI data centers can't wait years for grid power, so tech giants are building private plants; over 70% of U.S. grid connection requests are withdrawn.
Arm-based data center processors now power half of new hyperscaler capacity, cutting energy use by up to 60 percent as AI workloads push rack power past.
HIVE Digital Technologies is betting $2.5 billion on a 100,000-GPU AI data center in Ontario, marking a dramatic pivot away from Bitcoin mining.
HIVE Digital is building a 320 MW AI data center in Ontario, revealing how clean power, not chips, is becoming the real edge in the AI infrastructure race.
A $310M battery recycling plant sold for just $31.7M after federal funding cuts, revealing how policy reversals can gut critical energy infrastructure.
Apple's M4 and M5 chips are the minimum threshold for advanced Siri AI on iPad, requiring 12GB of unified memory and leaving older models behind.
AI data center costs have soared 20-fold to $100 billion per gigawatt, making power availability, not chips, the defining bottleneck in the AI.
Qualcomm's Snapdragon chips are targeting phones, laptops, and cars with on-device AI, carving out a niche Nvidia's data center dominance doesn't cover.
TSMC, Broadcom, and ASML may quietly capture more AI chip spending than Nvidia as Goldman Sachs forecasts up to $1.4 trillion in infrastructure by 2027.
Schneider Electric and Foxconn are partnering to build AI data centers like factories, using modular designs and energy intelligence to deploy capacity.
China's first undersea AI data center uses seawater for cooling and offshore wind for power, cutting electricity use by 23% and freshwater by 100%.
Meta's $2 billion natural gas investment for AI data centers exposes the dirty secret behind artificial intelligence's massive power demands.
UAE's AI data center market will hit $27.85 billion by 2035, but power grid constraints, not chip shortages, are the real bottleneck slowing expansion.
Microsoft, Google and other tech giants are investing billions in nuclear power to fuel AI data centers as renewables can't meet 24/7 demand.
Groq's custom LPU chips deliver AI responses 10-15x faster than GPUs, reshaping how developers build real-time apps with near-instant performance.
AI data centers now consume 470 terawatt-hours annually, forcing tech giants to explore nuclear power and orbital computing to meet soaring demand.
Apple's unified memory architecture enables AI models to run locally in single-digit milliseconds, keeping your data private while working offline.
Microsoft is expanding local AI capabilities to millions of existing Windows PCs with Nvidia RTX 30-series GPUs or newer, breaking Copilot+ exclusivity.
AI chip investment is shifting from GPUs to inference hardware as hyperscalers build custom silicon, creating new opportunities in memory and networking.
AI data centers now consume 1,000x more power than web searches, forcing companies to build private grids as public infrastructure lags 5-10 years behind.
Energy companies are securing 20-year AI power contracts worth billions, making them surprise winners as data centers face electricity shortages.
Laptop designers are eliminating cooling fans to free up 8,000 square millimeters for AI chip memory, using solid-state ionic cooling instead.
Samsung's advanced packaging gap threatens its AI chip ambitions despite strong memory and foundry gains, potentially limiting major contracts.
Cerebras stock jumps 10.2% as analysts set bullish targets up to $340, driven by its $10 billion OpenAI deal and superior AI inference speed.
Bloom Energy, GE Vernova, and Vistra are solving AI's electricity crisis with explosive growth as data centers struggle to secure grid power.
America's nuclear renaissance faces a hidden crisis: 98% of uranium is imported, but AI data centers need domestic fuel supply by 2028.
Small modular reactors emerge as a potential solution for AI data centers' massive power needs, with over $15 billion in global SMR investments planned.
Indian manufacturers supplying AI data center components have surged up to 500% in value as hyperscalers invest billions in infrastructure worldwide.
AI data centers now consume more power than entire cities, making grid infrastructure stocks like Sterling, Infineon, and Vertiv crucial investment plays.
AI data center success now depends on securing megawatts of power, not just GPUs, as startups like Crusoe and Nscale prove with massive deployments.
Google considers Samsung for AI chip production as TSMC bottleneck intensifies, potentially breaking Taiwan's 73% foundry monopoly stranglehold.
Arm's neural rendering brings ray-traced graphics and AI-powered frame generation to smartphones, potentially reshaping mobile gaming with desktop-quality.
Marvell's new 102.4 Tbps switch chip tackles AI data centers' hidden bottleneck: network infrastructure that can stall entire training operations.
Amazon claims its data centers use 7x less water than industry average, but experts warn global metrics mask serious local water stress issues.
Tesla's planned Terafab chip facility could produce more silicon than the entire U.S. consumes annually, reshaping semiconductor independence.
Microsoft is quietly opening Windows 11's AI features to millions of older PCs with RTX 30-series GPUs, undermining the Copilot+ PC advantage.
TensorWave raises $350M from AMD to build an all-AMD AI cloud with 8,192 GPUs, betting against Nvidia's 90% market dominance on cost and memory advantages.
AI data centers create invisible heat zones warming surrounding areas by up to 9°C, potentially affecting 340 million people within 6 miles.
AI companies are ditching flexible GPUs for hard-coded inference chips that cut token costs by 80% but lock in specific models permanently.
General Motors enters the data center power business with sodium-ion batteries, targeting 165% growth in AI infrastructure demand by 2030.
Tech giants are forming joint ventures for 70% of AI data center deals as $5.2 trillion in infrastructure needs exceed any single company's capacity.
iOS 27's advanced AI features require 12GB unified memory on M3, M4, or M5 chips, plus latest iPhones, creating a tiered access system.
AI data centers bring towns $70M annually but spread $582B in grid costs across 67 million residents who can't vote on these projects.
Engineers design coral-like copper cooling fins that could cut data center water use by a third, offering a breakthrough for AI infrastructure.
NVIDIA's Blackwell chips demand 140 kilowatts per rack, forcing data centers to abandon traditional air cooling for liquid systems or immersion tanks.
MIT startup Ferveret adapts nuclear reactor cooling to cut data center energy use by 35%, potentially solving AI's massive power problem.
D-Matrix ships AI chips with built-in memory that run inference 10x faster than Nvidia GPUs, sidestepping the DRAM shortage choking the industry.
Cerebras' 68% IPO surge to $311 per share triggers a financing frenzy among AI chip startups, with Groq, SambaNova and Tenstorrent racing to go public.
Taiwan attracts $5+ billion in AI data center investments from AWS, Google, Microsoft, NVIDIA, and Foxconn as Asia's computing hub emerges.
The U.S. treats Canada's AI infrastructure as vital to national security while using trade rules to block Canadian digital governance of those same data.
