# 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.

The King of Blind Date Attire in Korea: How SK Hynix Made a Comeback Against Samsung?

In South Korea's dating scene, SK Hynix employees are now highly sought after, a status shift fueled by the company's astronomical profits and employee bonuses, projected to reach up to 6.1 million RMB per person by 2027. This marks a dramatic reversal for the long-time second-place player in memory semiconductors, which has now surpassed its rival Samsung in annual operating profit. The turnaround story began in 2008 when a struggling Hynix, emerging from bankruptcy restructuring, took a risky bet by agreeing to develop High Bandwidth Memory (HBM) with AMD. At the time, HBM had no clear market beyond high-end graphics cards and was a costly, complex technology. Major players like Samsung, pursuing its own HMC technology, declined. For Hynix, with only memory as its core business, it was a gamble born of necessity. The pivotal moment came in 2012 when SK Group Chairman Chey Tae-won acquired Hynix. Defying industry downturns, he invested heavily in R&D and fabrication, sustaining the HBM project through over a decade of commercial uncertainty and internal challenges. A key break occurred around 2016-2017 when Samsung faced production issues supplying HBM2 for Google's TPU, allowing SK Hynix to gain a crucial foothold in the data center market. The AI explosion post-ChatGPT in 2022 was the catalyst, turning HBM into a critical bottleneck for AI accelerators like NVIDIA's GPUs. By 2025, SK Hynix captured 62% of the global HBM market, leaving Samsung at 17%. For the first time, its annual operating profit exceeded Samsung's. Analysts point to the "innovator's dilemma" to explain Samsung's miss: its vast, successful business portfolio made it risk-averse, preventing an all-in bet on the initially niche HBM technology. In contrast, SK Hynix, as a challenger with its back against the wall, had no choice but to commit fully. The story highlights how Korea's chaebol system allows for ultra-long-term bets beyond quarterly pressures. However, SK Hynix's lead isn't guaranteed. Samsung is aggressively catching up on HBM4, and challenges like customer concentration (heavy reliance on NVIDIA) and technical hurdles in advanced packaging remain. The narrative underscores a market truth: the greatest alpha often comes from betting on uncertain, long-term directions others dismiss, much like HBM in 2008.

marsbit05/11 11:08

The King of Blind Date Attire in Korea: How SK Hynix Made a Comeback Against Samsung?

marsbit05/11 11:08

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

NVIDIA and Corning announced a multi-year strategic partnership on May 6, 2026, with NVIDIA committing up to $3.2 billion to support Corning's U.S. expansion. This investment will triple Corning's manufacturing plants and significantly boost its optical fiber and communications production capacity. The core driver behind this massive investment is the fundamental shift from copper to optical interconnect technology within AI data centers. As GPU clusters scale, copper wires face critical limitations: severe signal attenuation over distance, high energy consumption for signal integrity, and excessive heat generation. Optical fiber, transmitting light instead of electrical signals, solves these issues with minimal loss, near-light speed, and lower power needs. The article outlines a three-stage evolution of data center interconnect: 1. **Traditional Copper Interconnects:** The mainstream solution of the 2010s, now being phased out due to scaling bottlenecks. 2. **Pluggable Optical Modules:** The current mainstream, where modules convert electrical signals to light externally. This process still introduces energy loss and latency. 3. **CPO (Co-Packaged Optics):** The next-generation technology where the optical engine is integrated directly with the GPU chip package. This drastically reduces the electrical signal travel distance to mere millimeters, slashing power consumption and latency while boosting data density. NVIDIA CEO Jensen Huang has identified CPO as an essential core technology for AI infrastructure. NVIDIA's investment signifies a strategic shift from being a buyer to actively controlling its supply chain for critical components. With demand for specialized optical fiber far outstripping supply—evidenced by soaring prices—securing long-term manufacturing capacity has become a competitive necessity. While Corning's expansion may pressure some suppliers, a projected global fiber supply gap of 5-15% over the next few years creates a significant opportunity window, particularly for Chinese manufacturers competitive in optical preforms, chips, and modules. Ultimately, NVIDIA's move is not about chasing a trend but an engineering imperative. The transition to light-based interconnects like CPO is driven by the physical limits of copper, marking a definitive step in the ongoing AI computing revolution.

marsbit05/11 10:07

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

marsbit05/11 10:07

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit05/10 07:37

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit05/10 07:37

The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

'The Big Short' Legend Michael Burry Doubles Down on AI Bet: Shorts Nvidia, Buys Beaten-Down Software Stocks As the Nasdaq hits record highs and Nvidia's market cap nears $5.3 trillion, Michael Burry—famed for his 2008 subprime mortgage bet—is making a major contrarian move. He is significantly expanding his bearish wagers against the AI frenzy while buying traditional software stocks he believes have been unfairly punished. Burry's latest portfolio adjustments, revealed in his Substack column, include maintaining and increasing put options on Nvidia and Palantir. He has also initiated new short positions on Palantir and expanded bearish bets on the semiconductor ETF (SOXX), the Nasdaq 100 ETF (QQQ), and Oracle. Simultaneously, he is buying shares of software companies like Adobe, Autodesk, Salesforce, and Veeva Systems. He argues these stocks have been sold off due to "AI disruption" fears and technical selling pressure from private credit funds, not deteriorating fundamentals. Their valuations have fallen to multi-year lows. This creates a complete hedge: short the perceived "AI winners" and long the oversold "AI losers." Burry believes the current AI infrastructure spending boom mirrors the late-1990s internet bubble, with inflated demand projections and questionable accounting practices by large cloud customers extending GPU depreciation schedules. While his Palantir short is currently profitable, his Nvidia put options are deeply underwater as the stock trades near all-time highs. Burry remains steadfast, comparing Nvidia to Cisco during the dot-com era. He anticipates a broad repricing of the AI bubble, where overvalued beneficiaries fall and unfairly battered companies rebound.

marsbit05/10 03:06

The "Big Short" Prototype Makes a Major Bet: Shorting Nvidia, Going Long on Software Stocks 'Scared Away' by AI

marsbit05/10 03:06

Plummeting Around 12%, Duan Yongping's Bottom-Fishing CoreWeave Turns into a Fierce Battlefield Between Bulls and Bears

On May 8th, AI cloud computing provider CoreWeave (CRWV) plunged 11.4% following its Q1 2026 earnings report, intensifying the polarized market view on the stock. While revenue doubled year-over-year to $2.08B and its Remaining Performance Obligations (RPO) surged to nearly $100B, its net loss also widened to $740M. The key trigger was a weaker-than-expected Q2 revenue forecast, coupled with rising costs that compressed adjusted operating margin to just 1%. The bull thesis centers on CoreWeave's massive order backlog, deep strategic ties with NVIDIA as a key customer and investor, and client diversification with major names like Anthropic and Meta. Supporters point to its 'hyperscale' status and over $20B in recent financing. Bears highlight the "growth at all costs" model: despite soaring revenue, losses are expanding, capital expenditures are massive (~$6.8B in Q1), and total debt has ballooned to around $25B. Significant insider selling by executives adds to skepticism. This contrast is embodied by investor Duan Yongping (known as "China's Buffett"), who initiated a small, exploratory position (~0.12% of his portfolio) in Q4 2025 near the stock's lows, viewing it as a speculative bet on the AI infrastructure chain. The upcoming Q2 report is seen as a critical test for management's promise of a profit margin rebound. CoreWeave remains a battleground stock where long-term narrative clashes with near-term financial reality.

marsbit05/09 09:15

Plummeting Around 12%, Duan Yongping's Bottom-Fishing CoreWeave Turns into a Fierce Battlefield Between Bulls and Bears

marsbit05/09 09:15

The Company That Makes Glass for iPhones Sees Its Stock Price Soar 500% Because of AI

The iPhone screen glass supplier Corning, known for Gorilla Glass, is experiencing a meteoric rise driven by the AI boom, with its stock price increasing fivefold over two years. The catalyst is a dramatic shift in its core business. While historically reliant on telecom and display glass, its optical communications division—inventor of low-loss fiber optics—has become the growth engine, fueled by massive AI data center demand. AI training requires vastly denser "east-west" data traffic between thousands of GPUs, making traditional copper cables inadequate and creating an urgent need for high-bandwidth, low-latency fiber optics. Corning has secured at least four multi-year contracts worth tens of billions of dollars in recent months, including deals with Meta and two unnamed companies. Its optical communications revenue surged 35% in 2025. A key factor is Corning's "Springboard" plan, which boosted profits faster than sales through premium pricing, product upgrades for AI clusters, and utilizing idle capacity. Its innovations, like rollable ribbon fiber that triples capacity within existing conduits and cuts installation time, command a significant premium as they save critical months in AI factory construction. NVIDIA's recent $5 billion investment in Corning (with an option to increase to $32 billion), including nearly free shares, signals a strategic partnership. This is part of NVIDIA's broader move beyond chips to becoming an "AI factory" systems integrator, securing a trusted, high-capacity fiber optics supplier for its blueprint. Corning, once seen as a mature manufacturer, is now central to building the AI infrastructure's nervous system.

marsbit05/08 13:25

The Company That Makes Glass for iPhones Sees Its Stock Price Soar 500% Because of AI

marsbit05/08 13:25

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