# Сопутствующие статьи по теме Data Center

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

MARA Reports Q1 Revenue Below Expectations, Net Loss of $1.3 Billion, Stock Plunges After Hours

Bitcoin mining firm MARA Holdings reported disappointing Q1 2024 results, causing its stock to erase all daily gains and fall 3.44% in after-hours trading. Revenue dropped 18% year-over-year to $174.6 million, missing Wall Street estimates of $192.7 million. The company posted a net loss of $1.3 billion, a significant increase from a $533.4 million loss a year ago, primarily driven by unrealized losses on its holdings of 38,689 Bitcoin, which depreciated in value during the quarter. MARA also sold over 15,100 BTC in late March to repurchase debt at a discount. The broader mining environment remains challenging due to a 35% decline in Bitcoin's price from its all-time high and a nearly 30% increase in mining difficulty over the past year. MARA's market cap ranking among U.S. miners has slipped to seventh. Critically, the company announced a strategic pivot away from Bitcoin mining expansion. It stated it has no plans to purchase new mining equipment and is fully transitioning toward AI data centers. Its strategy involves retrofitting existing mining sites for AI and high-performance computing (HPC) and leveraging its recent $1.5 billion acquisition of Long Ridge Energy & Power, a gas-fired power plant and data center. This infrastructure could eventually support 600 MW of AI compute capacity, allowing MARA to redeploy up to 90% of its non-custodial mining power for AI and IT workloads.

marsbit05/12 08:35

MARA Reports Q1 Revenue Below Expectations, Net Loss of $1.3 Billion, Stock Plunges After Hours

marsbit05/12 08:35

The AI Investment Landscape Is Being Reshaped: Beyond the 'Magnificent Seven', What Opportunities Lie in the Semiconductor Supply Chain?

AI Investment Map is Reshaping: Opportunities Beyond the 'Magnificent Seven' Since ChatGPT ignited the AI wave, investment initially focused on the "Magnificent Seven" tech giants dominating cloud infrastructure. However, the rise of DeepSeek and debates on AI capital expenditure effectiveness are shifting this dynamic. Investors now recognize opportunities deeper in the supply chain—the companies providing the essential "picks and shovels." Early concerns about an AI investment "arms race" and potential low returns were partly alleviated by strong Q1 earnings from cloud providers, validating robust compute demand. This has highlighted a more certain investment thesis: regardless of which AI applications ultimately win, massive capital expenditure will first fuel demand for semiconductors and related components. This "pick-and-shovel" logic has driven semiconductor ETFs to record highs. Key beneficiaries include: * **Memory Chipmakers (e.g., SK Hynix, Samsung, Micron)**: High Bandwidth Memory (HBM) is a critical bottleneck for AI training. * **Photonics Companies**: Crucial for high-speed data transfer within AI data centers. * **The Broader "AI-11" Semiconductor Ecosystem**: This encompasses foundries & lithography (TSMC, ASML), logic & custom chips (AMD, Broadcom, Intel, Marvell), and enterprise storage (SanDisk, Western Digital). Every dollar of AI infrastructure spending flows through this chain. While the "Magnificent Seven" remain dominant in market size, their earnings growth premium over the rest of the S&P 500 ("S&P 493") is narrowing. Market attention and marginal investment are shifting towards the expanding semiconductor supply chain. The investment narrative is evolving from "betting on the ultimate AI winner" to "investing in the certainty of the infrastructure build-out." Understanding this shift from the demand side to the supply side is key to identifying future AI investment opportunities.

marsbit05/12 08:06

The AI Investment Landscape Is Being Reshaped: Beyond the 'Magnificent Seven', What Opportunities Lie in the Semiconductor Supply Chain?

marsbit05/12 08:06

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 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

Memory Card Prices Double in Four Months: How Long Will the Surge Last?

NAND flash memory prices have entered a rapid upward cycle, with consumer-grade storage products like microSD cards seeing significant retail price increases. For example, a SanDisk Extreme 128GB microSD card rose from $17 in October 2025 to nearly $40 by February 2026—a 130% surge in under four months. This price surge is driven by structural shifts in the NAND market, primarily due to soaring demand from AI data centers. These large-scale buyers are securing the majority of NAND wafer supply through long-term contracts, leaving limited inventory for the consumer market. According to TrendForce, NAND contract prices rose 55–60% in Q1 2026, with enterprise SSD prices climbing 53–58%. Retail prices rose even more sharply due to constrained supply in the distribution channel. Unlike the 2016–2017 price cycle caused by production transitions, the current spike is demand-led. AI data centers are consuming NAND capacity at an unprecedented rate, with 2026 demand growth estimated at 20–22% against supply growth of only 15–17%. Manufacturers are prioritizing high-margin enterprise products over consumer-grade storage, further tightening retail availability. New production capacity from major suppliers like Samsung, Micron, and Kioxia is not expected until late 2027 or 2028. Until then, consumer storage prices are likely to remain high, with no significant price relief anticipated in the near term.

marsbit04/16 03:13

Memory Card Prices Double in Four Months: How Long Will the Surge Last?

marsbit04/16 03:13

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