Etched announced a working inference chip and over $1 billion in signed contracts after emerging from stealth with $800 million raised and a $5 billion valuation. Their rack-scale system, built on TSMC’s N4P process, is already running models like DeepSeek, Qwen and Llama, and production is ramping at new Taiwan and San Jose facilities.

Sunrun, Tesla and Renew Home plan to pool home batteries and smart thermostats into a 16 GW virtual power plant aimed at supplying data centers facing fast-growing electricity demand. They say this “capacity-as-a-solution” can be deployed in months with no new infrastructure, and have already lined up 300 MW in Virginia’s Data Center Alley. The move targets hyperscalers racing to power AI loads and could cut grid costs by shaving peak demand rather than building new plants.

This article breaks down the massive debt and revenue milestones that AI leaders (NVIDIA, OpenAI, Anthropic) must hit to justify the $9–15 trillion in planned data-center build-out. It shows how banks, hyperscalers, and chipmakers need AI services to generate over $2 trillion annually by 2030 or risk a market collapse.

This article explores the massive energy consumption of AI data centers, particularly focusing on Elon Musk's Colossus facility in Memphis. It highlights the reliance on fossil fuels, the environmental impact, and the rapid expansion of data centers across the U.S. as companies race to develop advanced AI models.

Microsoft CFO Amy Hood halted some data center projects after realizing the company was overspending on infrastructure for AI and cloud services. This move comes amid concerns about a potential tech bubble as the company navigates rising costs and demand.