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Exclusive: China conditionally approves DeepSeek to buy Nvidia's H200 chips - sources
Reuters· 2026-01-30 06:51
Core Insights - China has approved its leading AI startup DeepSeek to purchase Nvidia's H200 artificial intelligence chips, with regulatory conditions still being finalized [1] Company Summary - DeepSeek, identified as a top AI startup in China, is set to acquire Nvidia's H200 chips, indicating a significant move in the AI sector [1] Industry Summary - The approval for DeepSeek to buy Nvidia's AI chips reflects China's ongoing investment and interest in advancing its artificial intelligence capabilities [1]
SK海力士斩获英伟达超七成订单!科创芯片设计ETF天弘(589070)标的指数逆市拉升,深V反弹涨超3%!
Sou Hu Cai Jing· 2026-01-30 05:51
【热点事件】 订单超预期+业绩创历史!SK海力士尽享AI存储红利 据业内消息,在存储芯片行业景气度持续回升、AI算力需求高速增长的背景下,SK海力士斩获重磅订单,凭借领先的产品 良品率以及长期积累的客户信任度,成功拿下英伟达Vera Rubin平台约70%的HBM4订单,这一订单份额显著超出市场此前 预期。 此前1月28日,SK海力士发布了截至2025年12月31日的2025财年及第四季财务报告,得益于自2025年下半年以来AI需求爆 发推动的存储芯片供应紧缺和价格大涨,SK海力士多项业绩指标均创下了历史新高。其中,2025财年第四季营收为32.8267 万亿韩元,同比增长66%,环比增长34%;营业利润为19.1696万亿韩元,同比暴涨137%,环比增长68%。 【机构观点】 截至2026年1月30日 13:38,科创芯片设计ETF天弘(589070)盘中换手16.91%,成交9810.98万元,市场交投活跃。跟踪的上 证科创板芯片设计主题指数(950162)一度强势涨超3%,现涨2.80%,成分股澜起科技上涨12.54%,普冉股份上涨11.64%, 中微半导上涨9.75%,聚辰股份,芯原股份等个股跟涨。 ...
With Fears of an AI Bubble in 2026, Is It Still Smart to Buy This Top S&P 500 ETF?
The Motley Fool· 2026-01-30 05:45
Core Insights - Spending on AI infrastructure is projected to reach between $3 trillion and $4 trillion by the end of the decade, indicating significant investment in this sector [2] - The S&P 500 achieved a total return of 18% in 2025, marking its third consecutive year of double-digit gains, largely driven by the AI boom [1] Investment Sentiment - There are concerns about a potential AI bubble in 2026, fueled by the substantial capital being allocated to AI infrastructure without corresponding returns on invested capital [2][3] - Only 3% of users currently pay for AI services, suggesting that the market may not yet be fully monetized [3] - High valuations, such as Palantir Technologies trading at a price-to-sales ratio of 110, reflect the hype surrounding AI [4] Long-term Investment Strategy - Despite fears of an AI bubble, it is recommended that investors consider long-term investments, particularly in the Vanguard S&P 500 ETF, which has a low expense ratio of 0.03% [5] - Historical data indicates that the S&P 500 generally produces positive annualized returns over long periods, making it less concerning to buy at all-time highs [7] - Investors are advised to avoid market timing and continue investing consistently, as the Vanguard S&P 500 ETF remains a strong option [8]
What Anthropic and OpenAI's Recent News Mean for AI Stock Investors
The Motley Fool· 2026-01-30 04:15
Core Insights - Anthropic's revenue is projected to grow at a faster rate than previously expected [1] Company Updates - Recent updates have implications for Nvidia and other AI stocks [1]
Gold, Silver and US stock markets see massive volatility as markets swing nearly $9 trillion
BusinessLine· 2026-01-30 04:06
Market Volatility - US financial markets experienced extreme volatility, with an estimated $9 trillion movement in market capitalisation within a few hours, indicating heightened uncertainty across asset classes [1][2] - Gold prices initially fell by approximately 8% but recovered swiftly, reflecting intense intraday trading activity [2][5] - Silver prices dropped by 11.9% amid a slump in major US AI and technology stocks, highlighting the interconnectedness of precious metals and tech equities [5][6] Gold and Silver Price Movements - Gold prices saw a significant decline, erasing almost $3 trillion in value as US markets opened, before recovering close to $2 trillion by market close [2][3] - Silver initially wiped out around $750 billion but later added back nearly $500 billion, showcasing its volatility [3] - Gold peaked just below $5,600 before experiencing a sharp decline, while silver peaked above $121 per troy ounce, marking its strongest monthly gain outside December 1979 [5][6] Impact on US Equities - The S&P 500 erased $780 billion in intraday trading but recovered $530 billion by the close, reflecting the overall market volatility [3] - The Nasdaq dropped around 2.4% initially, with a wipeout of $760 billion before recovering $580 billion by the end of the session [3] - Combined US equities erased $1.15 trillion intraday and recovered $1.07 trillion by the close, indicating significant market fluctuations [3]
英伟达:FAQ—— 股价跑赢市场的关键因素
2026-01-30 03:14
January 29, 2026 04:48 AM GMT NVIDIA Corp. | North America NVDA: FAQs on what it will take for the stock to outperform Unless otherwise noted, all metrics are based on Morgan Stanley ModelWare framework NVIDIA's recent underperformance has happened while near- term expectations remain high, which is different; while there is a wall of worry to climb, we think a strong Vera Rubin ramp will mitigate any share concerns, and expect to see outperformance from here. Key Takeaways We have been somewhat surprised a ...
投资者:AI 半导体-TPU、GPU 及存储领域持续发力-Investor Presentation-AI Semi Further Strength in TPU, GPU and Memory
2026-01-30 03:14
January 29, 2026 02:39 PM GMT Foundation 2 Investor Presentation | Asia Pacific AI Semi: Further Strength in TPU, GPU and Memory | Downloaded by Neil.Wang@troweprice.com M | Not for redistribution without written consent of Morgan Stanley Charlie Chan | | | --- | --- | --- | | | | Foundation | | January 29, 2026 02:39 PM GMT | | | | Investor Presentation Asia Pacific | Morgan Stanley Taiwan Limited+ | | | | Equity Analyst | | | AI Semi: Further Strength in TPU, GPU and | Charlie.Chan@morganstanley.com | +88 ...
Key Factors of Outperforming Stocks
ZACKS· 2026-01-30 02:55
Core Insights - Investors seek stocks that provide substantial gains, and identifying such opportunities requires a structured approach [1] Group 1: Sales Growth - Sales growth is essential for profit generation, enabling companies to achieve efficiencies and create shareholder value [2] - Nvidia serves as a prime example, with its stock price increasing significantly due to strong sales growth in its Data Center segment [2] Group 2: Margins - Margin performance indicates operational efficiency, reflecting a company's ability to generate more profit from sales [3] - Companies like Netflix have successfully leveraged pricing power to enhance margins without losing subscribers [4] Group 3: Innovation - Innovation is critical for maintaining and expanding market share, with Nvidia's advancements in artificial intelligence exemplifying this trend [5] Group 4: Earnings Estimates - Positive revisions in earnings estimates are crucial for stock price appreciation, with the Zacks Rank system categorizing stocks based on these estimates [6] - Micron Technology's stock performance illustrates the impact of favorable earnings estimates, as it maintained a Zacks Rank of 1 (Strong Buy) since August of the previous year [7] Group 5: Common Traits of Market-Beating Stocks - Successful stocks typically exhibit strong sales growth, margin expansion, innovation, and positive earnings estimate revisions [8] Conclusion - Key factors contributing to stock outperformance include robust sales growth, margin expansion, innovation, and favorable earnings estimate revisions [9]
Robotaxi迎来重磅催化! 奔驰携手英伟达、优步 共同部署全球Robotaxi车队
Zhi Tong Cai Jing· 2026-01-30 02:24
美东时间周四,在欧洲豪车领军者梅赛德斯-奔驰(Mercedes-Benz)与英伟达(NVDA.US)、优步科技公司 (UBER.US)重磅宣布一项三方重大合作项目后,全球Robotaxi(完全无人自动驾驶出租车)参与者阵容可 谓进一步扩大。据了解,三方将合作打造一个覆盖全球的Robotaxi平台,该平台将使用梅赛德斯-奔驰的 全新S级车型、英伟达AI算力体系的自动驾驶硬件与软件堆栈,以及优步的大型网约车网络,在全球主 要市场提供无人驾驶出行服务。 英伟达的"AI+自动驾驶"雄心壮志 根据英伟达CEO黄仁勋的见解,"物理AI"强调让机器人/自主操作系统在真实世界进行感知、推理并完 成一整套行动。在黄仁勋看来,一个由"物理AI"辅助人类文明演变的时代即将到来。包括完全自动驾驶 技术在内的"物理AI"应用,强调让机器人/自主系统在真实世界感知、推理并行动,而这三类能力正是 把模型从"只会对话"推进到"能在物理世界干活"的关键工具链。 在 CES2026期间,英伟达重磅公布开源自动驾驶AI大模型Alpamayo家族。黄仁勋将Alpamayo称为"物理 AI的ChatGPT时刻"。旗舰自动驾驶大模型产品Alpamayo ...
Nvidia CEO Jensen Huang Says AI Memory Needs Are Rising During Taiwan Trip, Backs TSMC's Global Expansion, Dismisses China H200 Rumors - NVIDIA (NASDAQ:NVDA)
Benzinga· 2026-01-30 02:24
On Thursday, Nvidia Corp (NASDAQ:NVDA) CEO Jensen Huang said during a visit to Taiwan that surging AI demand is rapidly increasing the need for advanced memory.AI's Next Bottleneck Is Memory, Not Just ComputeHuang said the future of artificial intelligence will be shaped as much by memory as by computing power, reported UDN, one of the leading media platforms in Taiwan.He noted that modern AI models need to think, respond and reason at extremely high speeds, driving a sharp rise in memory capacity requireme ...