# Bài viết Liên quan Server

Trung tâm Tin tức HTX cung cấp những bài viết mới nhất và phân tích chuyên sâu về "Server", bao gồm xu hướng thị trường, cập nhật dự án, phát triển công nghệ và chính sách quản lý trong ngành tiền kỹ thuật số.

Storage Giants Are Raking It In, Downstream Players Are Struggling to Cope

Global memory storage giants have reported record-breaking earnings, with downstream clients now struggling to bear the soaring costs. SK Hynix's Q2 operating profit surged 557%, while Samsung's DS division hit a historic high. Chinese firms like GigaDevice and Jiangbolong also saw profits skyrocket. However, this profit surge for memory makers translates directly into higher costs for their customers. The boom is largely driven by AI server demand, which consumes high-bandwidth memory (HBM) at the expense of traditional DRAM supply. While cloud providers may accept higher prices, the strain is breaking downstream sectors. In smartphones, memory now comprises over 20% of device costs, even surpassing the main chip in flagship models. This has led manufacturers like OPPO and vivo to reportedly reject further price hikes from suppliers like Samsung. The PC and consumer electronics segments are also weakening, with spot market prices already falling sharply. The industry faces a turning point. Long-term supply agreements are locking in high prices but also capping further increases. As downstream clients from phones to servers push back against unsustainable costs, the memory super-cycle may be approaching a sudden end, driven not by supply shifts but by collapsing demand.

marsbit07/31 11:26

Storage Giants Are Raking It In, Downstream Players Are Struggling to Cope

marsbit07/31 11:26

Report Review: Kyber Delay Tear NVIDIA Supply Chain, Only a Few Winners in the PCB Chain

Research Report Analysis: Kyber's Delay Reshapes NVIDIA Supply Chain, Winners Limited in PCB Sector Jefferies maintained a Buy rating on NVIDIA with a $300 price target (42% upside), but delivered a surprising take on the AI server PCB supply chain. The key finding is that the high-density orthogonal backplane PCB, codenamed "Kyber," is likely delayed to 2028 or even canceled. This prompts a downward revision in the global AI PCB market forecast for 2027/2028 by 5% and 11%, respectively, with CCL (copper-clad laminate) forecasts cut by 8% and 16%. While Kyber's postponement extends the lifecycle of the current Oberon architecture and defers some PCB volume, it does not halt the trend towards higher specifications. Migration to advanced materials like M9/M10-grade CCL and PTFE processes continues. The delay reshuffles the winners' list: upstream material suppliers (glass fabric, CCL) benefit from persistent tight supply and strong pricing power. Copper cable vendors gain a reprieve as the threat from PCB-based interconnects recedes. PCB manufacturers, however, face intensified competition, with mid-tier players most vulnerable to being squeezed out. The report stresses that the market adjustment reflects a timing shift, not a demand destruction. Kyber-related orders are deferred, not canceled. NVIDIA's core GPU competitiveness and the AI server growth trajectory remain intact. The analyst's investment thesis prioritizes "high-value-add" and "supply-constrained" segments: upstream materials > NVIDIA > copper cables > downstream PCB manufacturing. The delay accelerates a consolidation within the PCB industry, favoring companies positioned in high-end specifications and critical upstream materials.

marsbit06/23 09:52

Report Review: Kyber Delay Tear NVIDIA Supply Chain, Only a Few Winners in the PCB Chain

marsbit06/23 09:52

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbit06/05 00:55

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbit06/05 00:55

Nvidia Rack Disassembly Reveals New Growth Opportunity, MLCC Value Surges 182%

Supply bottlenecks in AI infrastructure have expanded to fundamental hardware components like multilayer ceramic capacitors (MLCCs), crucial for stabilizing power and filtering noise in AI servers. Both Goldman Sachs and Morgan Stanley highlight MLCCs as entering a historic "volume-price dual increase" supercycle driven by AI. Goldman forecasts the AI server MLCC market to surge over fourfold from ~$1.4B in FY2025 to ~$5.8B in FY2030, a 34% CAGR. The core driver is a structural supply-demand imbalance. While AI server demand is projected to grow ~4.3x by 2030, industry capacity expands at only ~10% annually, constrained by internal production of equipment and materials. This is compounded by strong demand from electric vehicles. The shortage is evident, with lead times for high-end MLCCs exceeding 20 weeks. The price cycle has officially begun. Japanese leaders Murata and Taiyo Yuden have raised prices by 15-35% for AI server and automotive MLCCs since April, citing material costs. Japan's April export data confirms the trend, with MLCC export value up 28% year-over-year. Profit leverage is significant: Goldman estimates a mere 5% price increase could boost Murata's FY2027 operating profit by ~13% and Taiyo Yuden's by up to 37%. Morgan Stanley's teardown of Nvidia's upcoming Vera Rubin AI rack reveals another catalyst: the MLCC value per rack has skyrocketed 182% from the previous generation to ~$4,320, highlighting the component's growing importance. With demand set to massively outstrip constrained supply, and price increases just starting, analysts position MLCCs at the beginning of a major, prolonged upcycle.

marsbit06/01 09:06

Nvidia Rack Disassembly Reveals New Growth Opportunity, MLCC Value Surges 182%

marsbit06/01 09:06

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