# Сопутствующие статьи по теме Chips

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

After Oil, Silicon Is the New Chip

This article argues that silicon, not oil, is becoming the key strategic resource in 21st-century geopolitics and warfare. It begins by analyzing the traditional role of oil, examining how energy supplies from Venezuela and Iran influence global conflicts and fund Russia's war efforts. The author suggests that controlling oil prices and supply routes could strategically weaken adversaries. The core argument, however, is a shift in focus. Advanced semiconductors and AI computing power are now the critical "chips" in global competition. The U.S. should treat cutting-edge AI technology as a controlled military asset. AI is already reshaping conflict through enhanced pattern recognition for target identification, battlefield simulation, and enabling precise, small-scale military operations with minimal collateral damage—a shift from overwhelming force to "sneakers on the ground." The author posits that this silicon-driven AI advantage could create a new form of deterrence. Just as mutual assured destruction (MAD) prevented nuclear war, widespread AI-powered war gaming could lead to "Strongly Assured Destruction" (SAD). By simulating certain defeat, potential aggressors might be deterred from starting conflicts, making negotiation more attractive. The conclusion is that control over silicon and AI may ultimately redefine the rules of power and peace.

marsbit03/09 11:03

After Oil, Silicon Is the New Chip

marsbit03/09 11:03

Global Asset Plunge: Hormuz, Chips, and a Korean Holiday

A major geopolitical shock occurred on February 28th when a US-Israel coalition launched a massive airstrike on Iran, resulting in significant global market turmoil. This event served as a severe stress test for popular financial narratives, particularly the "debasement trade" which posits that gold and Bitcoin act as hedges against currency devaluation during crises. Initially, gold spiked but then fell over 4%, while silver plummeted 8%. Bitcoin remained largely stagnant. Contrary to expectations, the US Dollar Index rose 1.1%. The core insight was that in an acute crisis, the US dollar, due to its deep liquidity, became the primary safe-haven asset as investors rushed to cover margins and deleverage. South Korea's market, closed for a holiday, experienced a delayed and extreme reaction, with the KOSPI crashing 7.24% upon reopening. This sell-off was exacerbated by high retail leverage and concentrated exposure in key semiconductor firms like Samsung and SK Hynix, critical to the global AI supply chain. The conflict also raised fears about oil supply disruptions via the Strait of Hormuz, directly impacting energy-dependent economies and manufacturing. The event demonstrated that while long-term narratives about dollar debasement and the rise of hard assets remain valid, acute crises overwhelmingly favor dollar liquidity. In moments of panic, the financial system's architecture ensures that the dollar remains the ultimate refuge.

marsbit03/04 05:58

Global Asset Plunge: Hormuz, Chips, and a Korean Holiday

marsbit03/04 05:58

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

The Next Earthquake in AI: Why the Real Danger Isn't the SaaS Killer, but the Computing Power Revolution?

The next seismic shift in AI is not the threat of "SaaS killers" but a fundamental revolution in computing power. While many focus on how AI applications like Claude Cowork are disrupting traditional software, the real transformation is happening beneath the surface—in the infrastructure that powers AI. Two converging technological paths are challenging NVIDIA’s GPU dominance: 1. **Algorithmic Efficiency**: DeepSeek’s Mixture-of-Experts (MoE) architecture allows massive models (e.g., DeepSeek-V2 with 236B parameters) to activate only a small fraction of "experts" (9%) during computation, achieving GPT-4-level performance at 10% of the computational cost. This decouples AI capability from sheer compute power. 2. **Specialized Hardware**: Inference-optimized chips from companies like Cerebras and Groq integrate memory directly onto the chip, eliminating data transfer delays. This "zero-latency" design drastically improves speed and efficiency, prompting even OpenAI to sign a $10B deal with Cerebras. Together, these advances could cause a cost collapse: training costs may drop by 90%, and inference costs could fall by an order of magnitude. The total cost of running world-class AI may plummet to 10-15% of current GPU-based solutions. This paradigm shift threatens NVIDIA’s valuation, built on the assumption of perpetual GPU dominance. If the market realizes that GPUs are no longer the only—or best—option, the foundation of NVIDIA’s trillions in market cap could crumble. The real black swan event may not be a new AI application, but a quiet technical breakthrough that reshapes the compute landscape.

marsbit02/11 01:58

The Next Earthquake in AI: Why the Real Danger Isn't the SaaS Killer, but the Computing Power Revolution?

marsbit02/11 01:58

WSJ Reveals: UAE Royal Family Secretly Invested in WLFI, Exchanging for Top U.S. AI Chips

A Wall Street Journal investigation reveals that days before Donald Trump's presidential inauguration, an Abu Dhabi royal, Sheikh Tahnoon bin Zayed Al Nahyan, secretly invested $500 million to acquire a 49% stake in Trump's crypto venture, World Liberty Financial (WLFI). The deal, signed by Trump's son Eric, involved an initial $250 million payment, with $187 million going directly to Trump family entities. Sheikh Tahnoon, a powerful figure overseeing a $1.3 trillion empire, sought access to restricted U.S. AI chips, which had been limited under the Biden administration due to concerns over potential technology transfer to China. Following Trump's election, his administration negotiated a deal to supply the UAE with advanced AI chips, with about one-fifth allocated to Tahnoon's AI company, G42. The investment and subsequent chip deal have raised significant ethical and legal concerns, with experts suggesting it may violate constitutional emoluments clauses. The report also details connections between Tahnoon's investment vehicle, WLFI's stablecoin project, a $2 billion investment in Binance, and the eventual pardon of Binance founder Changpeng Zhao.

marsbit02/02 08:20

WSJ Reveals: UAE Royal Family Secretly Invested in WLFI, Exchanging for Top U.S. AI Chips

marsbit02/02 08:20

Tesla + xAI + SpaceX: The Trillion-Dollar Ultimate AI Flywheel

Tesla, xAI, and SpaceX are converging to form an unprecedented, synergistic industrial "flywheel" that creates a formidable competitive moat and massive cash flow. The system starts with Tesla's high-margin energy business, which supplies Megapack batteries to power xAI's massive AI training facilities. To reduce reliance on Nvidia, Tesla is developing its own highly efficient AI inference chips (AI5 and AI6), designed for both data centers and Optimus robots. This enables cost-effective, large-scale computing, even in space—a vision supported by SpaceX's Starship launches of orbital data centers powered by solar energy and Tesla batteries. Data forms a closed loop: xAI's models (like Grok) run on Tesla vehicles and robots, which in turn generate vast real-world data. This data is uniquely supplemented by real-time, unstructured human thought from X (Twitter). SpaceX’s Starlink provides global connectivity and space infrastructure, creating a seamless flow of data, computation, and command. Competitors like Google, Microsoft, Amazon, and Nvidia lack this full-stack integration across physical hardware, real-time data, global connectivity, and space access. The combined enterprise value of these entities exceeds $2 trillion, with each component reinforcing the others: Tesla's success feeds xAI with data, xAI's AI enhances Tesla's products, SpaceX enables global coverage, and Tesla's chips and energy reduce costs. The flywheel is spinning with no clear structural weakness.

marsbit01/24 02:47

Tesla + xAI + SpaceX: The Trillion-Dollar Ultimate AI Flywheel

marsbit01/24 02:47

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