# Сопутствующие статьи по теме Energy

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Energy", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

The Escalation of the Computing Power War: When 'Crypto Mines' Become 'AI Factories', A New Arena for Energy Arbitrage

The computing landscape has dramatically shifted by early 2026, with Bitcoin mining operations transforming into essential "AI factories." This transition is driven by a global scarcity of power, not just chips, turning pre-existing energized land into a monopolistic infrastructure asset. Former miners, now infrastructure capitalists, leverage their secured power and land—a critical advantage given the 5–7 year wait for new substations. Building AI-ready facilities has become capital-intensive, costing $8–11 million per megawatt, creating a clear divide between scaled leaders like Iris Energy (2910 MW portfolio) and execution-focused firms like TeraWulf and Hut 8, which have secured multi-billion dollar contracts. A key shift is the "hyperscale guarantor" model, where tech giants like Google and Microsoft provide credit backing, transforming risky miner leases into investment-grade contracts. This enables favorable debt financing at ~7.125% interest from major banks. Technologically, high-density liquid cooling is mandatory for platforms like NVIDIA’s Blackwell, which consumes 120 kW per rack. Innovations like Shanghai’s submerged data centers (PUE 1.15) use seawater cooling, reducing power use by 40–60%. The Blackwell supply backlog acts as a moat, locking out late entrants. Companies like CoreWeave, with early chip orders, dominate. The industry has matured into an energy-transition play, treating computation—whether Bitcoin or AI—as an interchangeable output of power assets. The era of pure mining is ending. The new high-stakes game is energy arbitrage, where AI factories become permanent, grid-shaping load-bearing institutions.

marsbit03/04 10:21

The Escalation of the Computing Power War: When 'Crypto Mines' Become 'AI Factories', A New Arena for Energy Arbitrage

marsbit03/04 10:21

China's AI Computing Counterattack

Eight years after the ZTE crisis, China's AI industry is fighting back against U.S. chip restrictions. In 2018, ZTE nearly collapsed under U.S. sanctions but survived with heavy fines and oversight. Today, Chinese AI firms like DeepSeek are pivoting away from NVIDIA by developing domestic alternatives and optimizing algorithms to reduce reliance on foreign technology. DeepSeek’s V4 model will use entirely domestic chips, signaling a strategic shift toward computational independence. The real challenge isn’t just hardware—it’s NVIDIA’s CUDA ecosystem, which dominates global AI development with over 4.5 million developers. U.S. export controls have tightened since 2022, banning high-end chips like the A100, H100, and their downgraded versions. In response, Chinese companies are adopting technical workarounds like Mixture-of-Experts models, which activate only parts of the network during inference, slashing costs. DeepSeek’s API is up to 75x cheaper than competitors, driving rapid global adoption. By early 2026, Chinese models accounted for nearly 60% of API calls on OpenRouter. Domestic chips, such as Huawei’s Ascend series, are now capable of full-scale training, not just inference. Production lines in cities like Xinghua manufacture servers with homegrown processors, supporting major AI training projects. Meanwhile, the U.S. faces an electricity shortage as data centers consume growing power, while China benefits from greater energy capacity and lower costs. Chinese AI is also going global via “Token exports,” with services reaching users in India, Indonesia, and beyond. The situation echoes Japan’s semiconductor decline in the 1980s, but China is building an independent ecosystem rather than relying on global supply chains. Domestic chip firms report surging revenues but ongoing losses—reflecting the high cost of achieving true technological independence. The battle is difficult, but progress is underway.

marsbit03/04 05:09

China's AI Computing Counterattack

marsbit03/04 05:09

Nasdaq Stalls, But Power Stocks Keep Hitting New Highs? AI's Second Half: A Deep Dive into the 2026 U.S. Grid Modernization Investment Map

The U.S. stock market in 2026 shows a clear divergence: while the Nasdaq stagnates, industrial, energy, and utility stocks surge. This signals a shift in AI competition from algorithms to physical resources—specifically, power and grid infrastructure. The AI-driven explosion in data center energy consumption, alongside manufacturing reshoring and broader electrification (EVs, heat pumps), is straining an aging U.S. grid. Much of the infrastructure is decades old and ill-equipped for modern demands, leading to bottlenecks, extended delays for critical components like transformers, and rising costs. Grid modernization is not just about expansion but about creating a digital, bidirectional, and self-healing network. Key layers include: - Smart metering (AMI) for real-time data exchange, - Automation and self-healing systems (e.g., FLISR by GE Vernova), - Virtual power plants (VPPs) enabling decentralized energy distribution. Investment opportunities are stratified: - High-margin software/automation firms (e.g., GEV, Siemens, Itron), - Critical equipment manufacturers (e.g., Eaton, ABB, Schneider Electric), - Engineering and construction leaders (e.g., Quanta Services, MasTec) directly capturing infrastructure spending, - Regulated utilities (e.g., NextEra Energy, Duke Energy) managing upgraded networks. The value reassessment of power assets is underway, positioning the grid as a national strategic asset essential to AI and economic resilience.

marsbit02/27 13:31

Nasdaq Stalls, But Power Stocks Keep Hitting New Highs? AI's Second Half: A Deep Dive into the 2026 U.S. Grid Modernization Investment Map

marsbit02/27 13:31

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