Plutux

Semiconductors

Chips, from the fab floor to the income statement

Foundry capacity, HBM supply, packaging bottlenecks and export rules — traced through to the companies whose quarters they decide.

What Big Funds Own22 fundsWhat Berkshire, Bridgewater and other big funds reported holding last quarter.What Analysts Expect16 stocksRatings and price targets from the big institutions, each with its public source.

2026-08-19

Analog Devices ADI calls out AI-linked signal-chain strength—showing analog demand is no longer the “late” trade, it’s the supply bottleneck insight cover
Earnings
ADI•7 min read

Analog Devices ADI calls out AI-linked signal-chain strength—showing analog demand is no longer the “late” trade, it’s the supply bottleneck

Analog Devices’ latest guidance commentary reinforces that AI capex is spilling into mature-node analog/mixed-signal—power management, data converters, and upstream signal conditioning—rather than staying confined to GPUs. The investor takeaway: the next constraint may be not compute, but the analog “plumbing” that turns electricity into usable, low-noise data in data-center racks.

FY2025 revenue: $11.02BFY2025 net income: $2.27B
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Etched’s $21B jump signals that inference silicon is moving from “experiment” to “economics”—and it pressures Nvidia’s GPU advantage on both cost and capacity insight cover
Private Company
7 min read

Etched’s $21B jump signals that inference silicon is moving from “experiment” to “economics”—and it pressures Nvidia’s GPU advantage on both cost and capacity

Etched’s Aug. 18 financing valued the company at $21B after a prior $10.3B valuation just weeks earlier—an investor re-rate that coincides with first customer delivery to Jane Street and more than $1B in customer contracts. The market takeaway is not “another chip startup,” but a shift toward dedicated inference hardware that competes with GPUs on two fronts: utilization/cost per token and rack-level capacity to meet urgent decoding demand.

Aug. 18 financing: $700MAug. 18 implied valuation: $21B
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Velaura AI’s $110M Series A reframes the AI power bottleneck as an “inside-the-silicon” battleground insight cover
Private Company
8 min read

Velaura AI’s $110M Series A reframes the AI power bottleneck as an “inside-the-silicon” battleground

Velaura AI raised $110M in a Series A and says its Titan Core silicon design can enable up to 2x lower chip power (up to ~500W savings vs a typical 1000W GPU/XPU) and cut math energy 2–4x. If hyperscalers scale this as a licensing layer, it could compress “compute-per-rack” economics and shift budgeting from just grid and cooling toward silicon efficiency—pressuring incumbent custom-silicon economics while benefiting thermal/power infrastructure winners.

Velaura’s power lever: Up to 2x lower chip powerIllustrative savings: Up to ~500W saved
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2026-08-18

NVIDIA turns $1.5B into an equity seat on OpenAI’s Ohio data-center developer insight cover
Industry News
7 min read

NVIDIA turns $1.5B into an equity seat on OpenAI’s Ohio data-center developer

NVIDIA will invest $1.5B into SB Energy to secure land, power, and shell capacity at the PORTS‑Pike AI data-center campus that OpenAI leases under a 20‑year structure. The move shifts NVIDIA from “compute-only” supplier into an ownership-and-credit participant in the project’s developer layer—tightening the demand loop between NVIDIA, SB Energy, and SoftBank/OpenAI while concentrating upside and tail-risk in the same chain.

NVIDIA investment into SB Energy: $1.5BNVIDIA credit support / residual value guarantie: $105B
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2026-08-17

The 48V rack bus is the new price bottleneck in AI data centers—SiC/GaN power silicon may capture the “dollars-per-watt” upside that electrical OEMs can’t insight cover
Supply Chain
9 min read

The 48V rack bus is the new price bottleneck in AI data centers—SiC/GaN power silicon may capture the “dollars-per-watt” upside that electrical OEMs can’t

As AI racks scale toward hundreds of kilowatts, the in-rack power-delivery chain (PSU → 48V bus → VRMs → SiC/GaN switching) is getting harder to build, cool, and qualify as one stack. Primary disclosures show that the Vera Rubin NVL72 rack design already concentrates power demand into multiple 110kW shelves, while grid-side electrical backlogs (Eaton) and 800V HVDC guidance (onsemi) point to a multi-year build-out. Investors should expect silicon vendors supplying SiC/GaN efficiency and density to monetize the “per-watt” upgrade cycle faster than the grid/electrical OEM layer.

Vera Rubin NVL72 rack power shelves: 4 × 110 kWEaton Electrical sector backlog growth: +43%
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Fabrinet will try to prove the 800G→1.6T ramp is shipping, not just selling design wins insight cover
Earnings
FN•7 min read

Fabrinet will try to prove the 800G→1.6T ramp is shipping, not just selling design wins

Fabrinet’s Q4 FY2026 report is the first high-signal check from the ODM layer of AI optical supply chains: it turns optical module “qualification” into product shipments and margin. Investors should focus on whether optical communications revenue mix and gross margin expand together, and whether working-capital swings look consistent with a real production ramp into larger-capacity transceivers.

FY2026 scope reminder: FY2026 ended Jun 26, 2026Q4 FY2026 is the “volume vote”: Q4 FY2026 report
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Keysight’s Q3 print is a live test for whether 1.6T optical designs are actually clearing validation—before the “shipping” headline hits revenue insight cover
Earnings
KEYS•7 min read

Keysight’s Q3 print is a live test for whether 1.6T optical designs are actually clearing validation—before the “shipping” headline hits revenue

Keysight’s communications-solutions orders are one of the earliest demand signals in the AI networking supply chain, because hyperscalers and optical-module makers must validate stressed electrical/optical designs on Keysight test platforms before 1.6T systems ship. With Keysight reporting this week, the key question isn’t “is AI spend real?”—it’s whether design-validation orders are accelerating fast enough to confirm the optical rally hasn’t priced only aspirations.

Orders: Over $2.05BCommunications Solutions Group revenue: $1.231B
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Nvidia’s “$1T through 2027” target resets the AI capex scare into a system-scale test insight cover
Earnings
7 min read

Nvidia’s “$1T through 2027” target resets the AI capex scare into a system-scale test

Nvidia says it now sees at least $1T in AI-chip demand through 2027—framed as a doubling from an earlier ~$500B view. Investors should treat the Aug. 26 quarter as the feasibility checkpoint: can memory, advanced packaging, power, and networking expand fast enough to convert that visibility into shipments without forcing an avoidable margin or cash crunch?

Updated demand visibility: $1T+ through 2027Implied doubling vs prior view: ~2x
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SanDisk’s “$94B backlog + 80% gross-margin” promise turns NAND into a contracting business—but the key test is whether the pricing floor survives insight cover
Earnings
7 min read

SanDisk’s “$94B backlog + 80% gross-margin” promise turns NAND into a contracting business—but the key test is whether the pricing floor survives

Western Digital’s SanDisk business claims multi-year visibility through a very large contracted backlog and an 80% gross-margin target through 2030. For investors, the trade is no longer “is NAND still commodity,” but “do hyperscalers sustain committed demand without forcing renegotiations, and does the cost stack keep up with 80% economics?”

Western Digital revenue (TTM): $12.92BWestern Digital gross profit (TTM): $6.31B
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ATE is the real AI bottleneck: Advantest and Teradyne own the “last meter” on shipping HBM-heavy silicon insight cover
Supply Chain
TER•8 min read

ATE is the real AI bottleneck: Advantest and Teradyne own the “last meter” on shipping HBM-heavy silicon

As HBM stacks and chiplet complexity multiply test vectors, test floor throughput and “known-good” screening—not EUV—can become the binding constraint on how fast AI chips convert into shippable units. Teradyne and Advantest are positioned as critical enablers because they sell the platforms (and test pattern memory/architecture) that make high-throughput memory and compute testing feasible.

Teradyne revenue: $2.82BTeradyne gross profit: $1.65B
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2026-08-16

NVIDIA’s Aug. 26 print is the AI trade’s “guide-bar” moment—can it outgrow the capex-and-allocation scare? insight cover
Earnings
NVDA•9 min read

NVIDIA’s Aug. 26 print is the AI trade’s “guide-bar” moment—can it outgrow the capex-and-allocation scare?

After a week of semiconductor repricing, the Aug. 26 NVIDIA report becomes the highest-stakes single catalyst because investors are no longer only buying growth—they’re buying confirmation that the next platform ramp (Vera Rubin) is not being choked by supply constraints or capex confusion. The last confirmed NVIDIA quarter shows extreme profitability and strong cash conversion, but the forward-risk is now whether the next guide keeps gross margin and operating expense discipline intact while revenue accelerates into the Vera Rubin deployment window.

Q4 FY2026 revenue: $68.1BQ4 FY2026 gross margin (GAAP): 75.0%
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The US fab buildout’s real bottleneck won’t be EUV or HBM—it will be wafer-gas, CMP consumables, and sputtering targets insight cover
Supply Chain
7 min read

The US fab buildout’s real bottleneck won’t be EUV or HBM—it will be wafer-gas, CMP consumables, and sputtering targets

As the US memory/logic buildout ramps, the chokepoint shifts from tools to consumables: specialty gases, CMP slurries/pads, and metal sputtering targets that must arrive with tight specs and continuous uptime. For investors, the “materials-first” winners are the companies with scale, qualification depth, and upstream integration in those categories—while every schedule slip becomes a margin and delivery risk for downstream fabs.

Micron revenue (TTM): $90.3BMicron operating margin (TTM): 80.4%
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2026-08-15

Applied Materials beat on the numbers, but the stock sold off because the China pipeline still looks lumpy insight cover
Earnings
AMAT•7 min read

Applied Materials beat on the numbers, but the stock sold off because the China pipeline still looks lumpy

Applied Materials delivered a Q3 FY2026 sales and EPS beat, but the market focused on what comes next: China-related licensing uncertainty and the shape of memory-capex demand. The quarter still shows strong operating momentum, yet the guidance/test of end-demand timing remains the key swing factor for the AI semi-cap equipment cycle.

Q3 FY2026 revenue: $9.12BQ3 FY2026 diluted EPS: $3.17
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SK Hynix's $38B memory-fab plan won’t ease supply until after Dec 2028 insight cover
Supply Chain
000660.KS•9 min read

SK Hynix's $38B memory-fab plan won’t ease supply until after Dec 2028

SK Hynix approved about ₩54.3T (≈$38.30B) for two new fabs whose first cleanrooms open in Dec 2028 (NAND) and Jun 2029 (DRAM/Yongin Y2), with construction beginning in 2027. That 2.5-year capex-to-cleanroom gap is the cleanest timing proof that AI-driven tightness can persist even as the next capacity wave is already locked in—quietly shifting the market from a short squeeze to a longer-dated overhang risk.

SK Hynix revenue level: ₩189.2TSK Hynix TTM operating margin (prox: ≈68.1%
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2026-08-14

Broadcom gets repriced because AI capex financing is now leaking into its own backlog math insight cover
Industry News
AVGO•7 min read

Broadcom gets repriced because AI capex financing is now leaking into its own backlog math

Investors punished Broadcom because the market started treating customer financing terms as a backlog-quality problem—not just a data-center operator balance-sheet issue. The result is a sharper linkage between chip delivery cadence and how easily customers can fund the next wave of AI hardware, with meaningful implications for 1–3 year revenue timing and near-term order visibility.

FY2025 revenue: $63.9BFY2025 operating cash flow: $27.5B
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OpenAI’s GPT‑5.6 “Ultrafast” mode makes latency—not token price—rewrite who wins AI inference insight cover
Private Company
7 min read

OpenAI’s GPT‑5.6 “Ultrafast” mode makes latency—not token price—rewrite who wins AI inference

OpenAI previewed GPT‑5.6 Sol “Ultrafast” with up to 14× faster output and up to 750 tokens/second, explicitly pitching ultra-low-latency inference (not cheaper tokens) as the differentiator. The underappreciated investor angle: when latency becomes the primary product metric, inference capacity economics shift toward architectures that can sustain interactive speeds—re-pricing demand for different compute stacks and agent workflows.

Speed relative to Standard: Up to 14×Output rate: Up to 750
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2026-08-13

Cerebras just proved inference-only isn’t enough: margins reset—then the market repriced the moat insight cover
Earnings
CBRS•7 min read

Cerebras just proved inference-only isn’t enough: margins reset—then the market repriced the moat

Cerebras’s first earnings as a public company showed revenue growing quickly, but gross margin (and especially “core” margin) reset sharply from the company’s prior high levels. The market punished the economics the same day Nvidia’s system moat would normally keep competitors’ inference bets from turning into durable profitability.

Quarterly revenue: $180.1MReported gross margin: 14%
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Lenovo's AI-server pipeline jumped to $54B—here’s what it implies for US chip and component demand insight cover
Earnings
7 min read

Lenovo's AI-server pipeline jumped to $54B—here’s what it implies for US chip and component demand

Lenovo reported a blowout fiscal Q1 on AI computers, servers, and services, with AI-related revenue up to $9.3B (35% of revenue) and an AI server pipeline of $54B, up 157% QoQ. The quarter matters for the US AI-hardware stack because it links the AI PC upgrade cycle to follow-on server and managed-service deployments—where demand shows up first in orders, then in component volumes.

Fiscal Q1 revenue: $26.94BAdjusted net income: $1.1B
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2026-08-12

Cisco's FY27 guide effectively sets a “$9B+ AI order bar”—and it will be judged on revenue conversion, not backlog headlines insight cover
Earnings
CSCO•9 min read

Cisco's FY27 guide effectively sets a “$9B+ AI order bar”—and it will be judged on revenue conversion, not backlog headlines

Cisco guided the market with an AI-networking demand runway that hinges on sustaining a high order pace into FY27. The key risk is that supply-chain and acceptance timing can push revenue recognition out of the quarter—so investors should treat “AI order proof” as a revenue-conversion test, with every miss resetting expectations for the entire networking trade.

TTM revenue momentum: $60.75BTTM net income: $11.96B
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CoreWeave proves $104B backlog can still lose $626M—because the AI cloud “toll booth” is a financing story before it’s a cash story insight cover
Earnings
CRWV•7 min read

CoreWeave proves $104B backlog can still lose $626M—because the AI cloud “toll booth” is a financing story before it’s a cash story

In its Q2 2026 update, CoreWeave more than doubled revenue to $2.58B and reported an approximately $104B revenue backlog, yet also posted a $626M net loss and guided full-year 2026 revenue to $12.4B–$13.2B. The gap implies that the economic conversion of signed commitments into cash is being delayed by build-and-finance timing—so 2026 looks like a construction bill, not a backlog monetization victory.

Q2 2026 revenue: $2.58BRevenue backlog: ~$104B
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What to expect

Evidence-first notes with a visible point of view.

This section collects sharp takes on earnings, shareholder meetings, and market structure. Each new piece should make the thesis, the facts, and the implications obvious within the first few screens.

Expect direct analysis, not generic commentary.

Expect the data to be explicit and the argument to be easy to follow.

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