# Сопутствующие статьи по теме Infrastructure

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

After Laying Off 30,000 Employees, Oracle Hires a CFO Who Managed Power Plants

Oracle, the global enterprise database giant, laid off approximately 30,000 employees, sparking widespread discussion. Shortly after, the company appointed Hilary Maxson as its new CFO with a compensation package of $297 million. Maxson’s background is notable: she spent nearly a decade as group CFO at Schneider Electric, a major energy management firm, and previously worked for 12 years at AES Corporation, a U.S. power company. Her entire career has revolved around the energy sector—managing power plants, grids, and data center energy solutions. This appointment signals a strategic shift for Oracle. After 12 without a dedicated CFO, the company is pivoting from its traditional software business toward cloud and AI infrastructure. Oracle’s cloud infrastructure revenue surged 84% year-over-year, with a capital expenditure budget of around $50 billion this year—almost entirely allocated to AI data center construction. The company has secured massive contracts, including one with OpenAI exceeding $300 billion, contributing to a total backlog of $553 billion. Data centers, especially at the gigawatt scale, require enormous power—equivalent to a nuclear power plant’s output—making energy management critical. Oracle is no longer just a software company; it’s transforming into an energy-intensive infrastructure provider. While Wall Street remains optimistic, the stock has fallen about 24% this year, reflecting investor concerns over this high-cost, capital-intensive transition. The hiring of an energy-focused CFO underscores Oracle’s new direction.

marsbit04/08 05:23

After Laying Off 30,000 Employees, Oracle Hires a CFO Who Managed Power Plants

marsbit04/08 05:23

Circle's Pullback: Still Worth Buying?

Circle: Still Worth Buying After the Pullback? Circle, the issuer of the second-largest stablecoin USDC, is at a critical juncture. Its current valuation of $15-20B primarily reflects its interest income from $770B in USDC reserves. However, data suggests a potential transformation into a fee-based digital dollar infrastructure network. Key evidence for this shift includes: * USDC's on-chain transaction volume grew 247% in FY2025, far outpacing its 72% circulation growth, indicating it's being *used* more, not just held. * Adjusted for on-chain noise, USDC dominates real economic settlement volume (64% per Visa data), despite USDT having 2.4x its market cap. Circle's three-layer revenue structure is evolving: 1. **Interest Income (95% of current revenue):** Tied to USDC circulation and interest rates. Faces headwinds from potential Fed cuts and a revenue-sharing agreement with Coinbase. 2. **Payment & Transaction Fees:** The key to becoming an infrastructure play. The Circle Payments Network (CPN) is scaling rapidly ($5.7B annualized TPV), and non-interest revenue surged to $37M/quarter. 3. **Settlement Platform (Arc):** A long-term bet on becoming an institutional settlement standard, though its value remains unproven. Near-term catalysts include the Coinbase revenue-sharing agreement renewal (Aug 2026) and potential full OCC bank charter approval. A 3-5x return is plausible if USDC circulation grows at 40% CAGR. A 10x return requires multiple successes: CPN scaling, improved Coinbase terms, non-interest revenue exceeding 10% of total, and progress on Arc. Major risks include faster-than-expected interest rate declines, Tether achieving greater legitimacy, and competition from new yield-bearing stablecoins and payment giants like Stripe. The investment thesis hinges on tracking three metrics: USDC circulation growth, its velocity (via Visa data), and the growth of non-interest revenue. The data is leaning toward a successful transformation, but it is not yet guaranteed.

marsbit04/04 01:00

Circle's Pullback: Still Worth Buying?

marsbit04/04 01:00

The Year of Physical AI: A Trillion-Dollar Gamble on 'How the World Works'

The year 2026 is being positioned as the dawn of the "Physical AI" era, marked by major funding rounds and technological breakthroughs. This shift signifies AI's evolution from understanding the digital world to perceiving and acting within the physical world. Key events include Yann LeCun's AMI Labs raising $1.03 billion to develop "world models," Fei-Fei Li's World Labs securing funding, and companies like Tesla deploying humanoid robots (Optimus) in factories. This transition expands the AI model competition into a broader infrastructure battle encompassing hardware, data, simulation, and real-world integration. The core debate is between two AI paths: the established LLM (Large Language Model) approach focused on text prediction and the emerging "world model" approach, which aims to understand physical states for action-oriented tasks. Hardware, particularly dexterous robotic hands, is a critical and expensive challenge. Companies are racing to build capable robotic bodies, with Tesla, Boston Dynamics, and Figure AI making significant progress. NVIDIA is positioning itself as the essential infrastructure provider for this new era, offering a full suite of development tools and platforms. A major bottleneck is the scarcity of high-quality physical world interaction data, with companies exploring solutions through real-world data collection, synthetic data generation, and human teleoperation. Substantial investments in Q1 2026, exceeding $6.4 billion, signal strong belief in Physical AI's potential, moving beyond concept validation into infrastructure building. While challenges like the sim-to-real gap, unproven business models, and safety regulations remain, the tangible engineering progress suggests this is a genuine technological inflection point, not merely a bubble. For the global Chinese community, this shift represents a significant structural opportunity to leverage their strengths in technology, engineering, hardware manufacturing, and cross-border collaboration to become key players in building the foundational layers of the Physical AI ecosystem.

marsbit04/03 09:39

The Year of Physical AI: A Trillion-Dollar Gamble on 'How the World Works'

marsbit04/03 09:39

Bitcoin Mining Companies Flee for the Nth Time

Since late last year, major publicly traded Bitcoin mining companies have initiated a significant wave of Bitcoin (BTC) sell-offs. Cango sold about 60% of its holdings (4,451 BTC) in February, Bitdeer liquidated its entire Bitcoin inventory in January, Riot Platforms sold 3,778 BTC in the first quarter, and Core Scientific planned to sell approximately 2,500 BTC. Notably, Marathon Digital (MARA) sold 15,133 BTC in just three weeks in March, cashing out over $1 billion, while also cutting 15% of its workforce as part of a strategic shift toward becoming an energy and digital infrastructure company. This collective divestment is driven by three primary motives. First, mining has become unprofitable for many; the average cash cost to mine one BTC is approximately $79,995, while BTC trades around $68,000–70,000, resulting in an average loss of about $19,000 per coin. Second, AI data centers offer a more stable and lucrative alternative, with tech giants like Google, Microsoft, and financial institutions like Morgan Stanley providing substantial backing and contracts. Mining companies are repurposing their existing infrastructure—cheap power contracts, data centers, and cooling systems—toward AI, which promises higher, predictable margins. Third, some firms are using BTC sales to optimize their balance sheets, such as repurchasing convertible debt at a discount to reduce liabilities and avoid equity dilution. The industry is diverging into three paths: some, like CleanSpark and HIVE, are坚守 (holding fast) to mining, betting on a cyclical recovery; others, like MARA and Riot, are pursuing a dual strategy of maintaining BTC holdings while expanding into AI; and a third group, including Core Scientific and TeraWulf, is undergoing a full pivot to AI, where mining may become a secondary operation. The future of these companies heavily depends on Bitcoin’s price trajectory. If BTC surpasses $100,000 by late 2026, mining profitability could recover. If it remains below $80,000, high-cost miners may continue to exit. If it breaks all-time highs, the industry could see another expansion cycle. Ultimately, this shift raises a broader question about Bitcoin’s security budget, as miners redirect resources to AI, the long-term cost of securing the Bitcoin network may become a growing concern. However, historically, the network has emerged stronger after each mining shake-out, though this time the transition is structural and could have lasting implications.

marsbit04/03 09:09

Bitcoin Mining Companies Flee for the Nth Time

marsbit04/03 09:09

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