# Сопутствующие статьи по теме Data Center

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

The Great Migration of Mining Companies: Some Already Hold $12.8 Billion in AI Orders

Driven by rising Bitcoin mining difficulty, shrinking profits, and extreme capital pursuit of AI, major crypto mining firms are collectively pivoting towards AI and high-performance computing (HPC). They leverage existing assets—power, land, cooling systems, and data centers—to secure massive AI compute orders. Key catalysts include Bitcoin’s hashprice dropping to multi-year lows, pushing firms like Bitdeer to sell all BTC holdings and NFN8 into bankruptcy. Conversely, companies are securing enormous contracts: TeraWulf holds a $12.8B HPC deal, IrisEnergy a $9.7B order with Microsoft, and Hut8 a $7B agreement. Others like CipherDigital ($5.5B with AWS) and CoreScientific ($10B+ with CoreWeave) are rebranding and expanding data centers. Q1 2026 earnings show AI/HPC revenue now constitutes 40%-60% for some. While firms like Marathon Digital remain committed to Bitcoin long-term, others like BitDigital have fully exited BTC mining for ETH and AI. Market sentiment is volatile but selective, with capital backing execution-ready firms with strong power contracts and scalability. The migration is structural: adapt to AI or risk obsolescence.

Odaily星球日报03/06 05:48

The Great Migration of Mining Companies: Some Already Hold $12.8 Billion in AI Orders

Odaily星球日报03/06 05:48

Another Bitcoin Miner Shifts To AI: Core Scientific Offloads 1,900 BTC

Core Scientific, one of the world's largest public Bitcoin miners, is accelerating its strategic pivot toward artificial intelligence (AI) and high-performance computing (HPC). According to its recent SEC filing, the company sold 1,900 BTC in January 2025 for $175 million, reducing its holdings from 2,537 BTC to just 630 BTC. It expects to sell substantially all remaining Bitcoin in Q1 2026. The firm has reduced its operational hashrate from 20.1 EH/s to 17.9 EH/s and does not plan further large-scale mining equipment purchases. Instead, capital is being redirected toward HPC infrastructure. This shift reflects a broader industry trend, with other major miners like Bitfarms and Bitdeer also transitioning toward data centers and AI compute services. Bitfarms’ CEO stated that converting even a small site to GPU-as-a-service could generate more income than its entire Bitcoin mining history. Despite the strategic shift, Core Scientific remains a top-10 public Bitcoin miner. Bitcoin is currently trading around $68,200.

bitcoinist03/04 11:42

Another Bitcoin Miner Shifts To AI: Core Scientific Offloads 1,900 BTC

bitcoinist03/04 11:42

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

How Can a Single Missile Take Down Global AI Giants Instantly?

An Iranian missile strike on a data center in the UAE, operated by Amazon Web Services, caused a significant outage of cloud services, including the AI system Claude. The incident occurred shortly after the US and Israel conducted airstrikes in Iran, reportedly aided by Claude for intelligence analysis. This marks the first time a commercial data center has been physically destroyed in a military conflict, highlighting the vulnerability of global AI infrastructure. The event underscores how AI, despite its digital nature, relies on physical infrastructure located in geopolitically unstable regions. Major tech companies, including Amazon, Microsoft, and OpenAI, have heavily invested in data centers across the Middle East due to favorable policies and resources. However, these facilities are now exposed to physical threats in times of conflict. The attack raises critical questions about the classification of data centers as civilian or military assets when they support both commercial and defense operations. It also exposes the lack of international legal frameworks and physical security measures for protecting such infrastructure. The incident shifts the focus from fears of AI replacing humans to the fragility of AI itself in the face of real-world threats.

比推03/03 13:31

How Can a Single Missile Take Down Global AI Giants Instantly?

比推03/03 13:31

AI Within the Range of Artillery

"AI in the Range of Cannons" discusses the vulnerability of AI infrastructure in the context of modern warfare, triggered by a real-world incident. On March 1, an Iranian missile struck an Amazon data center in the UAE, causing a fire, power outage, and disruption of about 60 cloud services. This led to a global outage of Claude, a major AI service running on Amazon's cloud. Although officially attributed to surging user demand, the incident is linked to a U.S.-Israel airstrike on Iran that used Claude for intelligence analysis, despite a recent U.S. ban on Anthropic (Claude's developer) for refusing unrestricted military use. The article highlights that this marks the first physical destruction of a commercial data center in war, emphasizing that AI, though virtual, relies on physical infrastructure located in geopolitically unstable regions like the Middle East. Silicon Valley has heavily invested in AI infrastructure in the Gulf due to cheap electricity, wealthy sovereign funds, and data localization laws, with projects from Amazon, Microsoft, and OpenAI. However, security frameworks like the Pax Silica agreement focus on chip controls and political alignment, ignoring physical security risks. The piece raises critical questions: When data centers serve both civilian and military purposes, are they legitimate targets? International law lacks clarity. The incident shifts focus from AI replacing jobs to its fragility—over 1,300 large data centers worldwide are protected only by basic measures like fire systems and generators. As AI becomes national infrastructure, its protection becomes a collective responsibility, beyond individual companies or governments. The title’s metaphor underscores that in an era of conflict, even advanced technology lies within the range of destruction.

marsbit03/03 10:29

marsbit03/03 10:29

$1.3 Billion in Debt: Bitdeer Has a Tough Battle to Fight

Bitdeer, one of the world's largest publicly listed Bitcoin mining firms, is undergoing a high-stakes strategic pivot from cryptocurrency mining to AI infrastructure, financed by over $1.3 billion in debt. The company recently sold its entire Bitcoin reserve—943.1 BTC—to boost liquidity for this transition. The core of Bitdeer’s new strategy involves developing large-scale data centers to supply computing power for AI and high-performance computing (HPC). It currently has a pipeline of 3,002 MW in power capacity globally—enough to support 10–30 hyperscale data centers like those of Google or Microsoft. Key projects include a 570 MW site in Ohio (facing a legal challenge from a local steel manufacturer) and a 175 MW site in Norway being converted to AI use. The company has raised capital through multiple convertible notes and equity offerings, with much of the debt scheduled to mature between 2029 and 2032. Annual interest expenses are estimated at over $65 million, currently supported largely by continued borrowing. While Bitcoin mining remains its primary revenue source, its profitability is declining due to rising network difficulty. Bitdeer’s AI business currently contributes less than 2% of total revenue, but management projects potential annual revenues of up to $2 billion if GPU capacity is fully utilized and long-term client contracts are secured. The company is also developing its own ASIC chips to improve margins. The success of this ambitious transformation depends on timely project execution, favorable legal outcomes, and the ability to attract major AI clients before debt obligations come due. The market remains skeptical—reflected in a falling share price—until tangible AI revenue materializes.

marsbit02/28 02:42

$1.3 Billion in Debt: Bitdeer Has a Tough Battle to Fight

marsbit02/28 02:42

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

Nvidia Delivers: AI Anxiety Pauses, Fundamentals Still Soaring

NVIDIA delivered a blockbuster Q4 FY2026 earnings report, with revenue surging 73% year-over-year to a record $68.1 billion, significantly exceeding analyst expectations. This performance, described as "explosive," served to temporarily alleviate market anxieties about an AI bubble, demonstrating that demand for computing power remains robust. Key highlights include Data Center revenue growing 75% to $62.3 billion, driven by strong demand for AI compute. Within this segment, Compute revenue rose 58%, while Networking revenue skyrocketed 263%, reflecting the success of NVLink technology. The company's non-GAAP gross margin climbed to 75.2%, a new high, attributed to improved product mix with the new Blackwell architecture and reduced inventory charges. For Q1 FY2027, NVIDIA provided a revenue guidance of $78 billion (±2%), which implies a nearly 77% year-over-year growth rate. This forecast notably excludes data center compute revenue from China. CEO Jensen Huang stated that the company is on track to surpass its $500 billion annual revenue target, with supply is expected to meet demand through next year. He emphasized that customer investment in AI computing is accelerating, and enterprise adoption of AI agents is soaring. Despite the strong results and guidance, the stock experienced volatility after the earnings call, with some analysts noting that high operating expenses and a change in accounting—where stock-based compensation (SBC) will no longer be excluded from non-GAAP metrics starting in Q1—could impact short-term investor perception of profit growth.

比推02/26 06:40

Nvidia Delivers: AI Anxiety Pauses, Fundamentals Still Soaring

比推02/26 06:40

NVIDIA Q4 Revenue Surges 73%, Q1 Guidance 'Explosive' Hits New High, Jensen Huang Raises 500 Billion Revenue Forecast

NVIDIA reported record-breaking Q4 FY2026 results, with revenue surging 73% year-over-year to $68.13 billion, significantly exceeding analyst expectations. Non-GAAP EPS grew over 80%, and gross margin reached a new high of 75.2%. The Data Center segment was the primary growth driver, with revenue up 75% to $62.31 billion, fueled by strong demand for AI computing and a 263% surge in Networking revenue. Gaming and Professional Visualization also saw robust growth. For Q1 FY2027, NVIDIA provided strong guidance, forecasting revenue of approximately $78 billion (up nearly 77% YoY), again surpassing consensus estimates. The company noted this outlook excludes Data Center compute revenue from China. CEO Jensen Huang raised the company's chip revenue target, stating they will exceed the previously stated $500 billion goal for orders through 2026, driven by next-generation Rubin chips and sustained AI demand. However, the stock experienced volatility post-earnings as investors weighed concerns over AI economic overheating and a change in non-GAAP accounting to include stock-based compensation.

marsbit02/26 01:16

NVIDIA Q4 Revenue Surges 73%, Q1 Guidance 'Explosive' Hits New High, Jensen Huang Raises 500 Billion Revenue Forecast

marsbit02/26 01:16

When Dreamers Start Doing the Math: How Reality Interrupted OpenAI's $500 Billion Stargate?

OpenAI's ambitious $500 billion "Stargate" data center project has stalled due to financing challenges and internal disagreements with partners SoftBank and Oracle. After lenders rejected OpenAI's request for billions to build its own data centers—citing unproven business models and cash burn concerns—the company was forced to scale back its plans. It has now shifted from owning infrastructure to leasing capacity, signing major deals with Oracle and others. OpenAI has also slashed its 2030 computing expenditure target by 57%, from $1.4 trillion to $600 billion, and projects $280 billion in revenue by 2030. Despite having over 900 million users, only about 5% pay for ChatGPT, and competition is intensifying. Facing high costs and slower monetization, OpenAI is prioritizing financial sustainability over grand visions.

比推02/24 14:06

When Dreamers Start Doing the Math: How Reality Interrupted OpenAI's $500 Billion Stargate?