Nvidia инвестирует 5 миллиардов долларов в Intel

cryptonews.ruPubblicato 2025-09-26Pubblicato ultima volta 2025-09-26

Nvidia (NVDA), крупнейшая в мире публичная компания по рыночной капитализации, заявила, что инвестирует 5 миллиардов долларов в Intel (INTC) и будет сотрудничать с производителем чипов в разработке специализированных продуктов для центров обработки данных и персональных компьютеров по мере распространения искусственного интеллекта.

Согласно заявлению, сделанному в четверг, компания из Санта-Клары, штат Калифорния, производитель графических процессоров (GPU), лежащих в основе вычислений с использованием искусственного интеллекта, купит акции своего конкурента по цене 23,28 доллара за штуку, что на 6,5 % ниже цены закрытия торгов в среду, составляющей 24,90 доллара.

В то время как Nvidia известна своими графическими процессорами, Intel была лидером в разработке микропроцессоров и вошла в историю как производитель центральных процессоров (ЦП), которые использовались в IBM-совместимых микрокомпьютерах. Её позиции пошатнулись с появлением ИИ, требующего интенсивных вычислительных ресурсов.

В четверг акции Intel выросли на 24 %, в результате чего рыночная капитализация компании достигла 143 миллиардов долларов. По данным companiesmarketcap.com, это лишь малая часть от 500 миллиардов долларов, которыми компания владела в 2000 году. Акции Nvidia, стоимость которых составляет 4,23 триллиона долларов, выросли на 1,85 %.

В прошлом месяце правительство США приобрело 10% акций Intel за 8,9 миллиарда долларов в попытке обеспечить будущее американского производства микросхем.

Криптовалютная индустрия внимательно следит за показателями Nvidia как за индикатором настроений на рынке, которые могут отразиться на токенах ИИ и криптовалютном рынке в целом.

Letture associate

Will the Ethereum Foundation Evolve into a 'Mascot'? Diversified Organizations Are Fragmenting Its Functions

The Ethereum Foundation (EF) is undergoing significant internal turmoil and functional erosion. Following its largest-ever layoff of 54 staff (20% of its workforce) and a major organizational restructuring announced in June, its Protocol Support Team has been officially dissolved. This comes alongside the high-profile resignation of key figures like co-executive director Xiaowei Wang, bringing senior departures this year to at least eight. Criticism of EF's rigid structure, opaque decision-making, and perceived lack of a clear value narrative for ETH has intensified within the community. The layoffs have catalyzed the emergence of independent, non-profit organizations like Ethlabs and Ethereum Institutional, founded by former EF researchers and members. These entities are now taking on core functions such as protocol research/development and institutional adoption, effectively fragmenting the EF's traditional leadership role. Concurrently, EF's security team is adapting to technological change, deploying specialized AI agents to audit Ethereum's codebase, which successfully discovered a critical vulnerability (CVE-2026-34219). While EF states AI complements rather than replaces researchers, it signals a potential future shift in its operational model. Faced with these challenges—internal restructuring, talent drain, the rise of competing organizations, and AI integration—the Ethereum Foundation appears to be stepping back from a central commanding role. Analysts and community observers speculate it may increasingly transition towards a symbolic "ecosystem mascot" function, while decentralized initiatives drive Ethereum's future growth and institutional adoption.

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Will the Ethereum Foundation Evolve into a 'Mascot'? Diversified Organizations Are Fragmenting Its Functions

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Is LIT’s burn worth $42 million enough to spur the altcoin’s next big rally?

Lighter (LIT) has experienced significant volatility, rallying 18% over the past week but facing potential overbought conditions. After a warning of a correction toward $2, the price dipped to $2.3 before recovering to $2.60. A major catalyst was the recent burn of over 15.6 million LIT tokens (worth ~$42 million), representing 6.3% of the circulating supply, which may have spurred short-term bullish momentum toward $3. Technical analysis on the 1-day chart shows a bearish divergence with the RSI, signaling a potential pullback despite strong demand. The key Fibonacci retracement level to watch is $2.30. On the 4-hour chart, LIT is forming a range between $2.31 and $2.68. The suggested strategy is to wait for a breakout above $2.70 to target $3.06-$3.21, or a breakdown below $2.31 for a likely deeper retracement below $2. In summary, while bullish momentum persists, traders should monitor the range boundaries for the next directional move.

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Is LIT’s burn worth $42 million enough to spur the altcoin’s next big rally?

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Nearly a Hundred Players Rush into Embodied Data: With 4.47 Billion Yuan in Financing in One Year, Who Can Really Make Money by 'Selling Data'?

The domestic embodied AI data industry has attracted nearly 100 players, with 70 focused on data collection and 27 on data infrastructure. In the past year, 15 independent embodied data service providers raised approximately 4.47 billion yuan. Despite this growth, the sector remains early-stage, fragmented, and faces significant challenges. Data collection methods are diverse, categorized into four main routes: teleoperation of real robots, human demonstration without a robot (using motion capture, exoskeletons, etc.), simulation synthesis, and distillation from internet videos. Most companies (43%) adopt hybrid approaches, combining multiple routes, as no single method can meet all training needs. Teleoperation alone is pursued by 31% of players, often by state-owned platforms and robot companies, while newer firms favor asset-light, no-hardware human demonstration. Independent data service providers now form the largest player group (40%), indicating the emergence of a distinct industry segment rather than just a subsidiary function for robot makers. Two-thirds of all players are "embodied-native" startups, while one-third are companies that pivoted from fields like AI data annotation, which are more prevalent in the data infrastructure layer. Current annual industry capacity is estimated at 1.6-1.8 million hours plus 70-80 million data points, with a short-term goal to increase this 15-20 fold within 1-3 years. Data collection factories are spread across 20 provinces in China, concentrated in the Yangtze River Delta, Beijing-Tianjin-Hebei, and Pearl River Delta regions. Financially, the 4.47 billion yuan raised in the past year pales compared to the 43.8 billion yuan raised by the broader embodied intelligence sector in just the first half of 2026, highlighting that data remains a less "sexy" bet for investors. The 15 funded independent providers show clear stratification: a top tier led by a unicorn (Lightwheel Intelligence, 3.1 billion yuan), a middle tier of 11 firms raising tens to hundreds of millions, and an early-stage tier of 3 companies. Sixty-nine investment institutions have participated, but none have made concentrated bets, reflecting uncertainty about viable business models. Over half of these funded companies are less than a year old, most are at pre-A or A rounds, and profitability remains largely unproven. In summary, the embodied data industry has become an independent track creating jobs and local economic activity. However, it is still nascent, with unformed consensus, unsolved problems, and unproven business models. The coming 1-2 years will be a critical validation window to see if companies can build sustainable, profitable businesses purely by "selling data."

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Nearly a Hundred Players Rush into Embodied Data: With 4.47 Billion Yuan in Financing in One Year, Who Can Really Make Money by 'Selling Data'?

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Dialogue with Multicoin Partner: The Crypto Market Has Bottomed Out, Favoring Three Cryptocurrencies in This Cycle

In a recent interview, Multicoin Capital managing partner Tushar Jain shared his views on the crypto market. He believes the market has bottomed and is at an inflection point, citing that negative news no longer causes significant price declines and application adoption continues to grow. Jain remains highly bullish on Solana, viewing it as the correct architectural choice for internet capital markets, particularly for spot and tokenized security trading. He is also positive on Hyperliquid, noting its leadership in decentralized derivatives trading. His investment approach focuses on concentrating capital in top convictions rather than equal allocation. A distinct opportunity he highlights is Zcash (ZEC), which he sees as a return to the industry's cypherpunk ethos and a potential top-five asset by market cap. For assets like Zcash without cash flows, his valuation framework is based on relative market cap ranking. Regarding investment strategy, Jain employs a "three-part" entry method to avoid timing pitfalls and emphasizes long-term "active management" over "active trading." He outlines four sources of investment edge: informational, analytical, behavioral/psychological, and structural. On portfolio management, the fund uses Bitcoin as its "cash," selling assets into Bitcoin during market euphoria to reduce beta risk and using Bitcoin to buy dips. Sales occur only if a better opportunity arises, the investment thesis breaks, or valuations become excessively overheated. While respectful of Ethereum's resilience, he questions its unclear scaling roadmap. Finally, Jain reaffirms his commitment to the thesis that blockchains will form the foundational architecture for future capital markets.

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Dialogue with Multicoin Partner: The Crypto Market Has Bottomed Out, Favoring Three Cryptocurrencies in This Cycle

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Bitcoin nears cycle bottom despite record $8B Spot ETF outflows – Why?

Bitcoin (BTC) is recovering near $64,100 after falling below $60,000, but faces headwinds from Middle East tensions and persistent U.S. inflation concerns, keeping the Federal Reserve's interest rate at 3.50%-3.75%. According to CoinShares' James Butterfill, signs suggest Bitcoin may be nearing a cycle bottom despite a record 8-week streak of Spot Bitcoin ETF outflows totaling ~$8 billion. Recent small ETF inflows hint at easing institutional selling pressure. Notably, a large 3,588 BTC sell-off by a specific strategy in early July had minimal market impact. On-chain data shows new buyer support forming in the $60k-$63k range, while the $77k price level has shifted from support to a key resistance zone. Overall, the market is under pressure but not broken, with cautious sentiment prevailing as Bitcoin trades below major historical cost bases.

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Bitcoin nears cycle bottom despite record $8B Spot ETF outflows – Why?

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