Apple strikes massive $1 billion annual deal with Google to power upgraded Siri using custom Gemini AI model with 1.2 trillion parameters, launching next spring as the tech giant races to catch up in artificial intelligence competition.
Michael Burry places $1 billion bet against AI giants Nvidia and Palantir as tech stocks plummet and Goldman Sachs and Morgan Stanley CEOs predict a major 10-20% market correction within two years amid AI bubble concerns.
Amazon launches construction of Fastnet, its first wholly-owned subsea fiber-optic cable stretching from Maryland to Ireland with massive 320 terabits per second capacity capable of streaming 12.5 million HD movies simultaneously, set to go operational by 2028.
Nvidia and Deutsche Telekom unveil a massive €1 billion AI factory in Munich featuring over 1,000 DGX B200 systems and 10,000 Blackwell GPUs, set to boost Germany's AI computing power by 50% when it launches in early 2026.
Global data center electricity consumption races toward nearly doubling by 2030 as AI-driven servers surge with 30% annual growth, with the US and China commanding 80% of this massive energy expansion that will consume 3% of world electricity.
IREN lands massive $9.7 billion five-year Microsoft GPU cloud services contract and $5.8 billion Dell partnership to deploy NVIDIA GB300 GPUs at its 750MW Texas AI campus through 2026, positioning the company as a major AI cloud provider with access to global hyperscaler customers.
Lambda strikes massive multibillion-dollar partnership with Microsoft to construct AI infrastructure featuring tens of thousands of Nvidia chips, serving over 200,000 developers while planning a Kansas City AI factory by 2026.
Chinese researchers at Peking University develop groundbreaking analog chip using resistive memory that delivers 1,000x faster performance than top Nvidia and AMD GPUs while consuming 100x less energy, solving precision issues that have plagued analog computing for decades.
Korean researchers develop revolutionary 10-gram fabric muscle that lifts 15 kilograms, enabling ultra-lightweight wearable robots under 2kg that reduce human muscle effort by 40% and improve movement range by 57% in patients with muscular weakness.
Scientists at University of Texas at Dallas unveil a revolutionary brain-inspired computer that learns like humans while consuming 90% less energy than current AI systems, potentially bringing powerful machine learning capabilities to mobile devices and dramatically reducing the environmental impact of artificial intelligence.