# Сопутствующие статьи по теме Nvidia

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

Conversation with VanEck CEO: Memory Chip Stocks Are a Bubble, Bitcoin Will Stay but Token Ecosystems Will Disappear

In this podcast, VanEck CEO Jan van Eck discusses his investment outlook centered on three key long-term ("10-year macro") themes: AI-driven compute demand, India's economic rise, and excessive government debt in developed nations. Regarding AI and semiconductors, van Eck believes Nvidia has transformed into a foundational "host" for AI infrastructure, possessing deep moats in software, scale, and power efficiency, making it a core holding. However, he views the recent surge in memory chip stocks as a bubble driven by temporary supply-demand imbalances and pricing power, lacking Nvidia's competitive durability. On asset management, he emphasizes that while ETFs are scale-driven tools, the decisions on which ETFs to own and how to allocate remain highly active. He expresses greatest concern over fixed-income market illiquidity and the risk of a loss of confidence in government debt sustainability. Van Eck is bullish on gold's long-term role as a global monetary alternative and highlights the dramatic policy-driven growth in nuclear energy investment. He is strongly positive on India due to its demographic trends and pro-business reforms. Discussing crypto, he labels 2026 the "year of the corporate-controlled chain," where traditional finance adopts blockchain's best features (like 24/7 operation and programmability) but retains control. He predicts a permanent "crypto winter" for many projects, with only Bitcoin, stablecoins, and the core blockchain concept surviving long-term. He sees the U.S. stablecoin bill as marginally impactful, enabling tech firms to compete with, but not replace, banks. Finally, he views the upcoming SpaceX IPO as a significant, positive liquidity event for markets and advises investors to maintain a long-term, macro perspective when making asset allocation decisions.

marsbit05/28 09:01

Conversation with VanEck CEO: Memory Chip Stocks Are a Bubble, Bitcoin Will Stay but Token Ecosystems Will Disappear

marsbit05/28 09:01

'ASIC Giant' Marvell Sets Record Quarterly Revenue, Raises Guidance Again, CEO Says Data Center Business Is 'On Fire'

Marvell Technology, a leading player in custom AI chips and data center connectivity, reported record revenue for its fiscal Q1 2027, driven by explosive demand in its data center business. Revenue reached $2.418 billion, slightly surpassing expectations, though GAAP net income fell year-over-year due to acquisition-related costs. Crucially, data center revenue hit $1.83 billion, making up 76% of the total and growing 27% YoY. The company significantly raised its full-year and next-year guidance, citing "exceptionally strong AI-related orders." Revenue is now projected at ~$11.5 billion for FY2027 and ~$16.5 billion for FY2028. CEO Matt Murphy emphasized that growth in the data center segment is accelerating. The AI Interconnect business, now expected to grow over 70% annually, saw its forecast lifted again due to rising network demands in complex AI models. Additionally, Marvell's custom chip (XPU) business is on a steep growth path, with FY2028 revenue anticipated to double and a target of over $10 billion by FY2029. The company also expanded its strategic collaboration with NVIDIA, focusing on silicon photonics, system integration, and AI-RAN solutions. To secure supply for surging demand, Marvell plans about $1 billion in supplier prepayments this fiscal year, highlighting its long-term capacity planning. Despite the strong results, the stock dipped slightly in after-hours trading.

marsbit05/28 04:09

'ASIC Giant' Marvell Sets Record Quarterly Revenue, Raises Guidance Again, CEO Says Data Center Business Is 'On Fire'

marsbit05/28 04:09

What Did Duan Yongping Buy in 2026? From a Small Position in Circle to Heavy Allocations in AI, a Breakdown of the Latest Holdings and New Market Signals

Summary: Duan Yongping's investment portfolio adjustments in Q1 2026, revealed via the H&H International Investment 13F filing, signal strategic shifts towards AI, consumer tech, and emerging digital finance. The total portfolio value reached approximately $20 billion, with high concentration in the top 10 holdings. Key new U.S. positions include a significant initial stake in Tesla (3.41 million shares) and smaller, exploratory positions in AI-focused companies like Palantir, Snowflake, and Synopsys. Notably, a small, new position in Circle (200k shares) marks his first entry into the crypto-related space, specifically targeting compliant stablecoin infrastructure. Major additions were made to existing core holdings: Nvidia (position nearly doubled), Pinduoduo, and Berkshire Hathaway. Apple remained the largest holding, though slightly reduced. Positions in Alibaba, ASML, and CoreWeave were liquidated. In the Hong Kong market, a pivotal move was the complete replacement of China Shenhua Energy with a position in Pop Mart. This highlights a strategic expansion into the Z-generation IP and emotional consumption sector, reflecting confidence in the founder and the brand's long-term potential. Overall, the adjustments demonstrate Duan's ongoing investment philosophy: focusing on "good businesses" with strong leadership, while cautiously expanding his circle of competence into high-growth areas like AI and new consumer trends through initial small positions and portfolio rebalancing.

marsbit05/27 13:37

What Did Duan Yongping Buy in 2026? From a Small Position in Circle to Heavy Allocations in AI, a Breakdown of the Latest Holdings and New Market Signals

marsbit05/27 13:37

NeoCloud Three Giants: NBIS, IREN, CRWV – Which One Has More Investment Value?

This conversation analyzes the three leading "Neocloud" companies—NBIS (Nebius), IREN, and CRWV (CoreWeave)—in the context of the AI compute boom. The core thesis is that a severe GPU shortage will persist for 3-5 years, creating a massive, durable opportunity for specialized GPU cloud providers to supplement hyperscalers like AWS and Azure. Key differentiators are highlighted: CoreWeave is the early leader with the highest activated power and revenue, focusing on high-value AI training. IREN possesses the largest locked-in power capacity (4.5 GW) but has only secured Microsoft as a major customer so far. Nebius is positioned as the long-term pick due to its unique focus on building an inference-focused software stack ("token factory") and its exceptional engineering-centric team, led by a mathematician CEO with a proven track record. The discussion debunks bearish narratives, noting that Nebius recently raised prices for H100/B200 GPUs by 30-70%, indicating strong pricing power and contradicting fears of rapid GPU depreciation. A simple revenue model is presented: 1 MW of power equates to ~$10M in annual revenue. Nebius's guidance of 5 GW by 2030 implies $50B in revenue, vastly exceeding current consensus. All three companies are expected to succeed in the near-to-medium term due to overwhelming demand. However, for long-term (5+ year) investment, the preference is for Nebius due to its team, software strategy, and valuable stakes in subsidiaries like ClickHouse. The conversation also identifies the networking layer (e.g., Arista Networks) as a critical, underappreciated adjacent opportunity in the AI infrastructure build-out.

marsbit05/25 10:29

NeoCloud Three Giants: NBIS, IREN, CRWV – Which One Has More Investment Value?

marsbit05/25 10:29

Rejecting Nvidia's Offer at $6 Per Share, He Says He Can Earn More Trading Stocks

A mysterious X user known as Serenity (@aleabitoreddit) has become a significant influence in financial markets, with over 150,000 followers across three continents tracking his stock picks. His recent endorsement of UK hardware company Raspberry Pi ($RPI) triggered an approximate 90% surge in its stock price over two days, later validated by strong earnings that matched his forecasts. Previously banned from Reddit's r/wallstreetbets for a controversial post, Serenity moved to X. He claims to be a former AI research scientist who declined a job offer from Nvidia when its stock was around $6. His identity and reported investment returns (e.g., 630% in one year) remain unverified. Serenity's strategy focuses on identifying "chokepoints"—critical, often overlooked components in complex supply chains, like the indium phosphide substrates for AI datacenter optics. His calls on small-cap stocks such as AXTI and Sivers Semiconductors (SIVE) have preceded major price rallies driven by events like export controls or strategic partnerships. While his free, public research differs from typical financial influencers who sell courses, the anonymous, self-reported nature of his success warrants caution. He represents a new phenomenon where detailed, niche analysis can move markets, but his track record lacks independent audit.

marsbit05/22 02:59

Rejecting Nvidia's Offer at $6 Per Share, He Says He Can Earn More Trading Stocks

marsbit05/22 02:59

NVIDIA's Q1 Performance is Solid, Vera CPU Drives Future Increment

NVIDIA reported solid Q1 FY2027 results and Q2 guidance, largely meeting optimistic investor expectations. Revenue reached $81.62 billion, up 85% year-over-year, with adjusted EPS of $1.87 beating estimates. The company re-segmented its business, highlighting Data Center as the core growth driver, with Hyperscale revenue surging 115%. The most significant new information was the unveiling of the Vera CPU, targeting a new $200 billion market for Agentic AI. It can be sold alongside Rubin GPUs or independently, with production starting in Q3. Management reaffirmed the $1 trillion revenue target for the Blackwell and Rubin platforms through 2027. Q2 revenue guidance of approximately $91 billion aligns with expectations. However, the announcement of a new $80 billion share buyback authorization and a raised dividend, while positive, fell slightly short of some investors' hopes for a larger repurchase plan.

marsbit05/21 02:20

NVIDIA's Q1 Performance is Solid, Vera CPU Drives Future Increment

marsbit05/21 02:20

The AI Stock Genius Who Made 60x Bets $7.7 Billion on Nvidia Topping Out

An AI-focused hedge fund named Situational Awareness LP, known for its 60x returns, has taken a significant bearish stance on semiconductor stocks in Q1 2026. Its 13F filing reveals a massive 148% quarterly increase in nominal exposure to $13.677 billion, with over 60% of the new exposure directed towards put options on major chip players. Key bearish bets include $2.04 billion in puts on the VanEck Semiconductor ETF (SMH) and $1.56 billion on NVIDIA, alongside positions against Broadcom, Oracle, AMD, and others. The fund simultaneously increased its long equity holdings in AI infrastructure and compute providers like CoreWeave and Bitcoin mining companies repurposing for compute. The core thesis behind this positioning is a shift in the primary constraint for AI expansion. The fund argues that while GPU supply was the critical bottleneck in previous years, the new limiting factors for large-scale AI cluster deployment are physical infrastructure: electrical grid access (with multi-year backlogs in the US), power availability, land, and data center construction timelines. The fund is not betting against AI's success but rather hedging against potential valuation corrections in semiconductor stocks whose prices may have run ahead, while directly investing in the downstream physical bottlenecks—power and data center capacity—it believes will capture value next. This move translates a previously theoretical narrative about infrastructure constraints into a concrete, high-conviction portfolio structure.

链捕手05/20 14:50

The AI Stock Genius Who Made 60x Bets $7.7 Billion on Nvidia Topping Out

链捕手05/20 14:50

NVIDIA Earnings Countdown: Beating Expectations Is a Near Certainty, but Wall Street Is Most Concerned About These Five Questions

NVIDIA Earnings Countdown: Beating Expectations is a Given, but Wall Street Cares Most About These Five Issues The upcoming NVIDIA Q1 earnings report is expected to easily surpass the consensus revenue estimate of ~$78.7B. However, Wall Street's focus has shifted from the numbers themselves to five key strategic questions. **1. Shareholder Returns: Will "Frugality" Change?** Despite being the S&P 500's largest company, NVIDIA's shareholder returns (dividends + buybacks) averaged only 47% of its free cash flow from 2022-2025, far below the 80% peer average and its own historical norm. Its 0.02% dividend yield also lags the peer average of 0.89%. This low cash return, partly due to investments in AI ecosystem partners, is cited as a core reason for NVIDIA's valuation discount compared to other "Magnificent 7" stocks. Increasing returns could attract long-term income funds and be a catalyst. **2. Vera Rubin: The Next-Gen Chip Timeline** Analysts expect the next-generation Vera Rubin (R200) platform to ramp in the second half of 2026, following the current Blackwell series. It will use TSMC's 3nm process and share Blackwell Ultra's "Oberon" rack architecture, suggesting a smooth transition with limited gross margin impact. The market also awaits any update on NVIDIA's $1 trillion cumulative revenue forecast for 2025-2027. **3. Gross Margin: Can the 75% Level Hold?** Gross margin, a key valuation support, is expected to stabilize in the near term due to the shared architecture between Blackwell and Vera Rubin. The consensus sees it fluctuating between 74-75%. The main long-term pressure is the rising cost contribution of HBM memory. **4. AI Accelerator Market Forecast Update** The report anticipates the total AI accelerator market will reach ~$1.17 trillion by 2030, with NVIDIA maintaining a 68-70% share. The focus is on whether NVIDIA will update its forecast to include new growth drivers: LPU racks, its Vera CPU, and the Vera Rubin Ultra platform. **5. Competition: Are Threats from Google TPU/CPU Overstated?** The analysis disputes narratives that the rise of "Agentic AI" elevates CPU importance over GPU, threatening NVIDIA. It notes NVIDIA's own "Vera CPU" is competitive, and current Blackwell/TPU clusters already use a 1:2 CPU-to-GPU ratio, contrary to the "more CPUs needed" story. NVIDIA's dominance in AI accelerators is seen as secure. **Valuation Discount:** NVIDIA trades at a significant discount to Mag-7 peers: ~50% based on CY26/27 P/E (26x/19x vs. 49x/42x avg.) and over 66% based on EV/FCF. Bank of America maintains a "Buy" rating with a $320 price target.

marsbit05/20 03:03

NVIDIA Earnings Countdown: Beating Expectations Is a Near Certainty, but Wall Street Is Most Concerned About These Five Questions

marsbit05/20 03:03

Nvidia's Wednesday 'Big Test': The Battle That Will Determine the Fate of the AI Bull Market is Here!

NVIDIA Faces Key AI Bull Market Test with Wednesday Earnings Report NVIDIA is set to release its quarterly earnings after the market close on Wednesday, May 20th (US Eastern Time). This report is seen as a critical stress test for the current AI-driven bull market cycle. The semiconductor sector is technically severely overbought, with extremely bullish options positioning. The rare signal of stock prices and implied volatility rising simultaneously indicates significantly amplified two-way risk around this earnings event. The core tension identified by analysts is strong fundamental demand for AI versus mounting technical pressures. The Philadelphia Semiconductor Index (SOX) is trading approximately 60% above its 200-day moving average, a deviation not seen since the peak of the dot-com bubble in 1999/2000. While NVIDIA's current quarter revenue is expected to beat estimates by a substantial margin, market focus is intensely on the guidance for the next quarter. Historically, NVIDIA's stock has frequently declined on the day following its last five earnings reports. The options market presents contradictory signals: extreme bullish call skew persists, yet there is notable activity in tail-risk hedging via put options on broader indices and semiconductor ETFs. This suggests traders are chasing gains while simultaneously preparing for potential sharp volatility. A broader market concern is narrowing breadth. Despite the S&P 500's YTD gain, only about half of its constituents are positive, with leadership heavily concentrated in a few mega-cap AI and semiconductor names like NVIDIA. Analysts question whether this reflects market health or a "funding source" effect, where money flows out of lagging sectors into the AI trade. The earnings outcome and, crucially, the forward guidance will test the market's conviction in the AI compute super-cycle thesis. Given NVIDIA's high correlation with the semiconductor and broader tech sector, its results are poised to trigger widespread market moves in either direction.

marsbit05/19 11:43

Nvidia's Wednesday 'Big Test': The Battle That Will Determine the Fate of the AI Bull Market is Here!

marsbit05/19 11:43

Bernstein's 97-Page Report Decoded: The Battle for AI Data Center Connectivity, Who Will Be the True Winner by 2026?

Bernstein's 97-page report analyzes the AI data center connectivity landscape. It argues that the bottleneck is shifting from raw compute (GPU) to the systems connecting GPUs, crucial for cluster efficiency. Copper and optical interconnects are not in a simple replacement cycle but will coexist long-term, with copper dominating short-distance "scale-up" connections and optics favored for longer "scale-out" scenarios. While Co-Packaged Optics (CPO) is the long-term direction for power and cost savings, its widespread adoption faces manufacturing and reliability hurdles, with mass deployment unlikely before 2028. Transitional technologies like Linear Pluggable Optics (LPO) and Near-Packaged Optics (NPO) are seen as near-term leaders. A key insight is that CPO will fundamentally reshape the value chain, shifting profits from traditional optical module suppliers towards chip designers (e.g., NVIDIA, Broadcom), advanced packaging (e.g., TSMC), and system integrators. For 2026, the report highlights more immediate and certain investment opportunities in the essential "infrastructure" enabling this connectivity shift. This includes upgrades for PCBs, ABF substrates, and CCLa driven by new AI server/switch platforms, alongside demand for 1.6T optical modules, LPO/NPO, and the testing/validation equipment required for future CPO scale-up.

marsbit05/19 03:16

Bernstein's 97-Page Report Decoded: The Battle for AI Data Center Connectivity, Who Will Be the True Winner by 2026?