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

marsbitPubblicato 2026-06-23Pubblicato ultima volta 2026-06-23

Introduzione

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: up...

Author:Rita

Trend Highlights

Jefferies issued a research report on NVIDIA on June 22, maintaining a Buy rating and raising the target price to $300 (implying a 42% upside from the current $210.69). The core view is surprising: while bullish on NVIDIA, it pours cold water on the AI server PCB supply chain. The backplane PCB product Kyber is highly likely to be delayed until 2028 or even canceled entirely, leading to a downward revision of the global AI PCB market size by 5% and 11% for 2027/2028 respectively, and the CCL (Copper Clad Laminate) market by 8% and 16% respectively. This adjustment might seem like bad news, but it is reshaping the list of winners in the AI server supply chain.

What the Kyber Delay Means

Jefferies believes the Kyber delay is essentially confirmed. Rubin Ultra was originally planned to use orthogonal backplane PCB (Kyber architecture), but due to bottlenecks in intra-rack connectivity technology, the Oberon architecture will still be used in 2027. Kyber is postponed to 2028 at the earliest, and could be canceled in the worst-case scenario. This change directly impacts the PCB iteration timeline.

However, delay does not mean regression. Switch boards and midplane boards continue to migrate towards high-end materials, with M9/10 grade CCL and PTFE processes becoming industry standards. CoWoP (Chip-on-Wafer-on-Substrate interconnect technology) penetration will begin earliest in 2027. The trend of rising unit value remains unchanged, only the timeframe has been extended.

Therefore, the biggest winners of this delay are not in manufacturing, but upstream. Upstream material suppliers like glass fiber cloth and CCL are already facing tight supply, with strong ability for sustained price increases and cost pass-through. PCB manufacturers face more direct pressure from order contraction. Copper cable suppliers benefit from the extended lifecycle of Oberon, reducing the risk of being replaced by PCB.

Why Focus on Specs, Not Just TAM

On the surface, the Kyber postponement led to significant downward revisions of the AI PCB and CCL market size estimates. But looking closely, this adjustment reflects a reshuffling of the pace of specification upgrades, not a disappearance of demand.

From the data, the original global AI PCB market expectation for 2027 was $25 billion; after excluding Kyber it's $24 billion, a 5% decrease. This is not a "shrinkage" but a "rescheduling." Kyber's order volume won't vanish; it will simply shift from 2027 to 2028. During this shift, the order volume left in 2027 will be used for Oberon upgrades, actually raising the specification standards.

This means the value per PCB doesn't change linearly. Lower-end products are revised down, higher-end products revised up. Within this mixed structure, there is room for total value recombination. Those who will profit are players positioned in high-end specifications and upstream materials, while manufacturers relying entirely on low-end capacity expansion will passively bear the pressure.

Supply Chain Divergence: Who's Out, Who's In the Inner Circle

The most direct impact of the Kyber delay is the acceleration of the elimination race in the PCB industry. Mid-tier manufacturers face the greatest pressure. High-end players have technical depth and customer stickiness, enabling them to follow NVIDIA's upgrade rhythm for spec iterations; low-end capacity has cost advantages, allowing them to quickly follow basic demand. But manufacturers stuck in the middle, unable to handle high-end complexity nor compete on cost, will be squeezed out.

Upstream material suppliers see structural opportunities. Glass fiber cloth and CCL suppliers face industry-wide demand. Kyber's cancellation won't reduce demand for glass fiber and CCL; it will only change the structure. The tight supply situation won't ease in the short term, with pricing power in the hands of material suppliers.

Copper cable suppliers gain a "reprieve" from the Kyber delay. Before Kyber's launch, copper cables faced the risk of gradual replacement by high-speed PCB interconnects. The extended lifecycle of the Oberon architecture means copper cables remain useful.

Why NVIDIA is Still Worth $300

Although Jefferies revised down the TAM expectations for PCB and CCL, it is not pessimistic about NVIDIA's prospects. The Kyber delay does not affect NVIDIA's core GPU competitiveness, nor does it change the growth trajectory of AI server shipments.

Kyber aims to further optimize rack efficiency in 2028 and beyond. Its delay means NVIDIA has one less innovation story for 2027, but it doesn't mean chip sales in 2027 will decline. Specification upgrades (M9/10, CoWoP) are still progressing as planned, and the unit value of AI servers continues to rise.

From a financial perspective, the CY28E NVIDIA EPS estimate is $14.14, leading to a $300 target price based on a 21x P/E ratio. This valuation level considers the certainty of long-term AI demand, not the timeline of a specific product generation.

What the Analysts are Betting On

Jefferies' final judgment points to: Upstream Materials > NVIDIA > Copper Cables > PCB Downstream.

They are bullish on the "high value-added end" and "supply bottleneck end" of the AI industry chain. GPU chips, as the core computing resource, have the highest value and most certain demand. Upstream materials are the bottleneck; scarcity determines premium. Copper cables get breathing room due to the delay. PCB manufacturing is most adversely affected because it is neither the bottleneck nor the core competency, just an executor.

This delay in PCB specification upgrades is not bad news, but a process of realignment. After the realignment, the profitability of players inside the inner circle and those positioned correctly will be higher, while those waiting on the sidelines will be left out.

Disclaimer

This article is a third-party brokerage research report summary and interpretation by Trend Research. The ratings, target prices, earnings forecasts, and related judgments cited are the views of that brokerage's analysts, representing only the position of their affiliated institution. They do not represent the views of Trend Research, nor constitute any investment advice.

Please note three points while reading: First, target prices are analysts' expectations for the next approximately 12 months, representing forecasts not promises, and are subject to frequent adjustments based on performance and market conditions. Second, sell-side research reports are inherently biased towards bullishness, and some covered companies may have investment banking relationships with the brokerage. Third, the value of a research report lies in its mainline logic and its underlying assumptions, not just a specific target price. Focus on the logic, not just the price.

The market carries risks; decisions should be made independently. This article should not serve as the basis for trading any securities.

Data Sources: Jefferies Research Report (Jacky He et al., June 22, 2026) · Prismark · NVIDIA Public Financial Reports

Tide Research · TideResearch · June 2026

Domande pertinenti

QAccording to the report, what is the main impact of Kyber's potential delay or cancellation on the AI server PCB supply chain?

AThe main impact is a reshuffling of winners and losers in the supply chain. While the total market size for AI PCBs and CCL is revised down slightly (5% in 2027, 11% in 2028), the delay acts as a catalyst for industry consolidation. It accelerates the淘汰赛 for mid-tier PCB manufacturers who lack the technical depth for high-end规格 or the cost advantage for low-end products. The primary beneficiaries shift upstream to material suppliers (like glass fiber cloth and CCL providers) and also to copper cable makers, who get a reprieve from potential replacement by PCBs.

QWhy does the Jefferies report maintain a bullish $300 target price for NVIDIA despite the negative implications for the PCB segment?

AJefferies maintains a bullish outlook on NVIDIA because Kyber's delay does not impact NVIDIA's core GPU competitiveness or the overall growth trajectory of AI server shipments. The delay only affects a specific interconnect architecture for future rack efficiency, not the fundamental demand for NVIDIA's AI chips. The analyst's $300 target price is based on long-term AI demand certainty and CY28E EPS expectations of $14.14, applying a 21x P/E ratio. The valuation focuses on NVIDIA's position as the highest-value component in the AI supply chain, which remains unchanged.

QWhat are the key structural opportunities identified for upstream material suppliers due to the Kyber schedule change?

AThe report identifies significant structural opportunities for upstream material suppliers, particularly glass fiber cloth and Copper Clad Laminate (CCL) providers. Their advantage stems from persistent supply tightness in these materials, which grants them strong pricing power and the ability to pass on costs. The demand for these materials is industry-wide and not fundamentally reduced by Kyber's delay; it merely shifts in规格 mix. Therefore, they occupy a bottleneck position in the supply chain with inherent scarcity value.

QHow does the 'delay' of Kyber affect the value proposition of individual PCBs versus the total market size (TAM)?

AThe delay affects the timing and规格 mix more than the ultimate value proposition. While the Total Addressable Market (TAM) numbers are revised down for 2027/2028, this represents a timing shift ('错期'), not a disappearance of demand. Crucially, the average value per PCB may not decline linearly because the orders originally intended for Kyber in 2027 are now allocated to upgrading the Oberon architecture (e.g., adopting M9/10 grade CCL and PTFE processes). This means a re-composition where high-end PCB规格 gain a larger share, benefiting companies positioned in that segment, even within a temporarily adjusted TAM.

QAccording to the analyst's final judgment, how does the report rank the relative attractiveness of different segments in the AI supply chain affected by this news?

AThe analyst's final judgment ranks the relative attractiveness as follows: 1. Upstream Materials (highest) - Due to supply bottleneck and pricing power. 2. NVIDIA (GPU) - Due to its core, high-value position in AI compute. 3. Copper Cable Makers - Benefiting from a prolonged lifecycle of the Oberon architecture, reducing near-term replacement risk. 4. PCB Downstream Manufacturers (lowest) - Facing the most direct pressure from order adjustments and lacking the定价权 or technological moat of the other segments.

Letture associate

Ondo, the Leader in RWA Tokenization, is Entering the Perp DEX Arena

Ondo Finance, the dominant player in the real-world asset (RWA) tokenization space, is entering the perpetual futures (Perp) DEX arena with the launch of "Ondo Perps." This move signifies a strategic pivot from primarily being an asset issuer to becoming a comprehensive trading infrastructure provider. The platform uniquely focuses on tokenized traditional assets like stocks, indices (e.g., US 500), and commodities (gold, silver, oil), offering up to 20x leverage for 24/7 trading. A key differentiator is its planned multi-asset collateral system, which will allow users to employ tokenized stocks and bonds as margin, enabling sophisticated portfolio hedging and strategies. This approach leverages Ondo's existing strengths—deep institutional relationships, regulatory approvals, and a vast library of tokenized assets—to create a bridge between traditional finance liquidity and decentralized, permissionless trading. By integrating its asset issuance (Ondo Global Markets) with a proprietary trading venue, Ondo aims to complete the RWA financialization loop, transforming tokenized holdings from passive investments into productive capital for leverage and complex financial engineering. The launch positions Ondo Perps not just as another derivatives exchange, but as a foundational piece of next-generation infrastructure merging TradFi assets with DeFi-native execution.

Foresight News15 min fa

Ondo, the Leader in RWA Tokenization, is Entering the Perp DEX Arena

Foresight News15 min fa

Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

Founder of Baixing.com: I Only Half-Believe the Saying “Large Language Models Will Devour Everything” Author: Wang Jianshuo, Founder of Baixing.com Many proclaim that large models are everything, but the author is skeptical. He argues that such sweeping claims often stem from a limited understanding of the future. Drawing parallels to past technologies like electricity and the internet—which were predicted to “devour everything” but didn’t—he suggests that large language models (LLMs) are better seen as a foundational base. Like electricity, this base is essential for modern development, but its real value emerges only when applied to specific scenarios through various “machines” or “tools” (e.g., Claude Code for programming, Claude Design for design). The author acknowledges that LLMs may indeed replace many existing software systems built on rigid rules, workflows, and forms (e.g., CRMs, SaaS tools), as these are precisely what LLMs excel at processing. However, he emphasizes that beyond software, elements like customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions will not be “devoured.” Instead, he foresees that after streamlining existing software, LLMs will open up a larger space for innovative, next-generation applications. These new tools will likely feature fluid interfaces and rely less on fixed rules, unleashing greater creativity. The author cautions against short-sightedness, recalling how in 2004 many believed internet giants like Sina, Sohu, and NetEase would monopolize the market—only to be proven wrong by subsequent disruptions. In conclusion, while LLMs are a crucial foundation and a current focal point, the true mainstream of this wave lies in the diverse applications built atop them to solve concrete problems. The phrase “devour everything” is imprecise; the real opportunity lies in identifying and leveraging the areas where LLMs do bring transformative change.

marsbit29 min fa

Founder of Baixing.com: The Notion That Large Language Models Will Devour Everything, I Believe Half of It

marsbit29 min fa

Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

The founder of Baixing Wang states that while large language models (LLMs) are an extremely important foundational technology—akin to electricity or the internet—he only "half believes" the notion that they will "consume everything." He argues that LLMs provide a base layer of intelligence, but real-world value and transformation come from integrating this intelligence into specific applications and devices designed for particular scenarios—like how electricity powers various appliances from washing machines to TVs. He agrees LLMs will likely consume or replace a significant portion of existing rule-based, workflow-driven software (e.g., many SaaS systems, CRMs), as these are precisely what LLMs excel at handling. However, numerous other elements—such as customer data, execution capabilities (e.g., booking a flight), trust, and physical-world interactions—will not be consumed. Wang emphasizes that after LLMs absorb certain software layers, they will open up a much larger space for innovation: new types of "streaming" software with less rigid interfaces, where fixed rules are managed by AI. This next wave of applications built on top of the stable LLM foundation is where the true mainstream opportunity lies. He cautions against the short-sightedness of declaring any technology as all-consuming, drawing parallels to past premature predictions about internet giants monopolizing the web. The key is to find opportunities within the areas LLMs do transform.

链捕手34 min fa

Founder of Baixing.com: I Only Half Believe in the Notion that Large Language Models Devour Everything

链捕手34 min fa

Trading

Spot
活动图片