Register and share your invite link to earn from video plays and referrals.

Search results for Yageo
Yageo community
One keyword maps to one global community path.
Create community
People
Not Found
Tweets including Yageo
Yageo, Taiwan’s biggest passive component maker, said demand for AI server components remains 'very, very strong', leading some customers to pay a premium to secure supply and sign Long Term Agreements (LTAs), media report, adding Yageo raised prices in the 2nd quarter to keep pace with rising materials costs, and may have to raise prices again. #Yageo# #TaiyoYuden# #SamsungElectroMechanics#
Show more
• Taiwan’s leading passive components company, Yageo, has implemented price increases across its full capacitor solutions portfolio, including MLCCs, aluminum, tantalum, polymer, film, and supercapacitors. This marks one of the broadest price hikes the company has carried out in recent years and takes effect immediately from July 1. • Manufacturing cost pressure has reached its limit due to geopolitical risks, strong energy prices, and rising costs for key raw materials. While Yageo had previously absorbed these costs through process efficiency improvements, external headwinds such as escalating tensions in the Middle East and rising international freight rates have made price adjustments unavoidable. • Given that capacitor products account for roughly 50% of Yageo’s revenue, this price increase is expected to directly support earnings improvement. In addition, demand for high-spec products continues to rise on the back of growth in AI servers, HPC, and electric vehicles, accelerating capacity consumption across the industry.
Show more
Just some of the more interesting news I came across recently: 1. MS: Revised China humanoid shipments to reach 50,000 in 2026 from 14,000u and 28,000u earlier this year. 2. MS: Probe cards and test sockets likely to be priced hike (precious metal hikes + severe shortage of test pin capacity) 3. Capacitor price hikes: MLCC, aluminum electrolytic, tantalum, polymer aluminum, film, and super capacitors from Yageo. 4. $META Vistara architecture: Older DDR4 Memory with CXL as memory expansion 5. OpenAI achieved inference optimization breakthrough that halves costs and reduces GPU requirements. 6. LTAs are being signed with MLCC after Samsung signed LTA with US big tech customer 7. Grid power bottlenecks triggered 5x increase ($25B) in Brookfield's financing for $BE fuel cells. 8. Taiwan's chip packaging and testing supply chain includes major OSAT providers such as $ASX, Powertech, Winstek Semiconductor, Chipbond, ChipMOS, and ShunSin. Dedicated testing companies include KYEC, Ardentec, and Sigurd Microelectronics, while testing interface suppliers include WinWay, MPI, Keystone Microtech, Chunghwa Precision, and Hermes Testing Solutions. Leadframe makers include Jih Lin Tech, SDI, and CWTC, while major IC substrate suppliers include Unimicron, Kinsus, Nan Ya PCB, and Zhen Ding Tech. (Digitimes) - Taiwan-based OSAT providers are raising prices - Memory and IC packaging and testing capacity have both become bottlenecks in the semiconductor supply chain
Show more
MLCCs: interesting discussion by MS from yday, detailing the technical constraints (e.g., low voltage, "rapid current excursions") that are forcing accelerator boards to use higher capacitance MLCCs, dominated by TY $6976; Murata $6981; SEMCO. "...total installed capacitance per accelerator and per rack is growing faster than MLCC unit count.." Having hundreds of layers, these 47+ microfarad MLCCs suck up disproportionate share of prod capacity, inevitably leading to shortages of commodity MLCCs as well (benefiting Yageo $2327). MS raised Yageo 27-28 ests by 23-53% on 1 Jun, sees another 58% upside for stock. Sector has seen some profit-taking but my sense is estimates will continue to rise.
Show more
Some updates on bottleneck timelines: - ABF substrates: 1 year / eg. Ajinomoto (2802) for ABF film, Ibiden, Unimicron, Nan Ya PCB, etc make the substrates - HDI Boards: Over 6 months / Victory Giant (300476), Zhen Ding (4958), Unimicron, Compeq (2313), Meiko (6787) - Multilayer boards: ~6 months / Victory Giant, WUS (002463), $TTMI, Gold Circuit Electronics (2368), - CCL: Over 6 months (severe shortages of materials) / Elite Material (2383), Shengyi (600183), TUC (6274), ITEQ (6213), Nan Ya Plastics (1303), Resonac (4004) Mitsui Kinzoku (5706) / HVLP copper foil. Nittobo / glass fiber/cloth - MLCCs, chip resistors, tantalum capacitors, aluminum electrolytic capacitors: 15-20 weeks to 1 year+ MLCC: Murata (6981), Samsung Electro-Mechanics, TDK (6762), Taiyo Yuden (6976), Yageo (2327), Walsin (2492) Chip Resistors: Yageo, Walsin, KOA (6999), Rohm (6963) and $VSH Tantalum capacitors: Kyocera/AVX, Yageo/KEMET, $VSH again Aluminum electrolytic capacitors: Nippon Chemi-Con (6997) Nichicon (6996) | Timelines sourced from Digitimes, did the honors of adding in related companies. But it's slightly more nuanced since MLCCs and others mix. in commodity types vs. AI DCs. Regardless, just some helpful mapping.
Show more
0
122
873
67
Forward to community
AI Hardware Demand Growth and Representative US-Listed Companies June 2026 Executive Summary Nvidia’s transition to the Vera Rubin (VR200) platform marks a significant escalation in AI infrastructure complexity and cost. Our BOM teardown of the next-generation Rubin rack reveals a ~2x increase in total rack cost to approximately $7.8 million (vs. ~$4 million for GB300), driven not solely by the GPU/CPU but by sharp revaluations across the supply chain. Key highlights from downstream components include: • PCB content value +233% YoY, the largest increase. • MLCC +182%, reflecting higher density and count (e.g., ~600k MLCCs per VR200 NVL72 server, +30%+ vs. GB300). • ABF substrates +82%, power solutions +32%, and liquid cooling +12%. These upgrades align with broader AI scaling: 800G/1.6T optical transceivers ramping aggressively, glass-based technologies advancing for packaging and interconnects, and hyperscalers prioritizing performance, power efficiency, and thermal management. We expect sustained multi-year tailwinds for the AI hardware ecosystem into 2027+, with Rubin-driven demand accelerating in H2 2026. Investment Thesis: While Nvidia (NVDA) remains the core beneficiary, the supply chain offers diversified exposure. We favor companies with direct exposure to high-growth areas like advanced PCBs, high-speed optics, and glass substrates/optical interconnects. Risks include execution on new capacity, potential margin pressure from rapid scaling, and geopolitical supply chain factors. 1. PCB: Sharpest Value Uplift in Rubin BOM Morgan Stanley’s detailed analysis shows PCB content in the Rubin rack surging +233% versus GB300. This reflects needs for higher layer counts, advanced materials, better signal integrity, and larger formats to support increased power and interconnect density in AI servers. US Representative: TTM Technologies (TTMI) – Leading US PCB manufacturer with strong positioning in high-complexity boards for data center/AI applications. TTM has invested in capacity expansions (e.g., new facilities) to capture AI-driven demand for advanced HDI and high-layer PCBs. 2. MLCC: Density-Driven Surge Nvidia’s VR200 NVL72 platform requires ~600,000 MLCCs per server, over 30% more than GB300. Combined with the +182% value increase in the BOM, this underscores tightening supply for high-capacitance, high-reliability MLCCs in power delivery and decoupling for AI accelerators. Exposure Note: The MLCC market is dominated by Asian players (e.g., Murata, Samsung Electro-Mechanics, Yageo). US-listed indirect exposure may come through broader electronics or power solution providers, but direct pure-play opportunities are limited. Watch for capacity utilization tightness benefiting the ecosystem. 3. Optical Communication: 800G/1.6T Ramp Accelerating Chinese leader Zhongji Innolight reported Q1 2026 net profit +262% YoY, driven by strong 800G/1.6T shipments, with expectations of significant full-year growth. This mirrors industry-wide momentum as AI clusters shift toward higher-speed optics for reduced latency and power in scale-out/scale-up networking. Nvidia’s investments in photonics and CPO further validate the trend. US Representatives: • Coherent (COHR) and Lumentum (LITE): Key players in optical components and transceivers; Nvidia has made substantial equity investments to secure capacity. • Corning (GLW): Major beneficiary via optical fiber, connectivity, and glass technologies (detailed below). 4. Micro-LED/Glass Substrates & Optical Interconnects: Strategic Partnerships Accelerating On May 20, 2026, BOE announced a cooperation MOU with Corning covering glass-based encapsulation carriers, foldable glass, perovskite substrates, and optical interconnect applications. This aligns with industry shifts toward glass cores for superior flatness, thermal stability, and integration in advanced packaging and photonics—critical for next-gen AI as organic substrates hit limits. US Representative: Corning (GLW) – Central to Nvidia’s optical strategy with multi-billion partnerships, new US optical factories, and expansion in fiber/photonics for AI data centers. Recent deals position GLW for 10x+ capacity growth in key areas. AI Hardware Demand Growth & US-Listed Representative Companies Table Component Demand Growth (vs. GB300) Key Drivers US-Listed Reps Investment Rationale PCB +233% value Higher layers, HDI, signal integrity TTM Technologies (TTMI) Direct AI server/backplane exposure; US capacity expansion MLCC +182% value; +30%+ count Power density in servers Limited direct (ecosystem via power suppliers) Supply tightness supports pricing/volume Optical Comm (800G/1.6T) Strong ramp (e.g., +262% profit ex.) Scale-out networking, CPO transition Coherent (COHR), Lumentum (LITE), Corning (GLW) Nvidia investments; transceiver/fiber boom Glass Substrates/Interconnects Emerging (MOU-driven) Packaging, photonics, thermal/optical Corning (GLW) Nvidia factory deals; US manufacturing tailwinds Power & Liquid Cooling +32% / +12% Higher TDP (e.g., 2300W GPUs) Indirect (ecosystem) Secondary but critical for rack deployment Source: Morgan Stanley BOM analysis, company reports, industry data. Growth metrics approximate from Rubin teardown. Outlook & Risks We project robust 2026-2027 growth in AI capex, with Rubin shipments catalyzing another leg-up in component demand. Optical and advanced substrate shifts could extend the cycle beyond traditional GPU focus. Hyperscalers’ vertical integration and US onshoring (e.g., Corning/Nvidia factories) add resilience. Key Risks: Cyclical capex pauses, yield/execution challenges on new tech (glass/CPO), commodity volatility in passives, and intense competition in Asia-heavy segments. Valuation multiples in the space have expanded; selectivity is key. Recommendation: Overweight select supply chain names with strong Nvidia alignment (e.g., TTMI for PCBs, COHR/LITE/GLW for optics/glass). Monitor Q2 2026 earnings for confirmation of Rubin ramp momentum.
Show more
Tehran, Iran, 2007, by Alfred Yaghobzadeh