AI power: rack and chip conversion · Campaigns
AI power: rack and chip conversion
active · AI · Power
Evidence
Supports, challenges and context. A linked source is not confirmation by itself.
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The AI Trade Sold as One; Oil and Staples Took the Money
Records Vicor's 12.9% fall on October 16 against a 3.6% median decline in its AI power peer group (5 of 55 up) on a broad risk-off day. No news item, scheduled company event or filing on record explains the move, so the cause is unknown. A price move is not one of this case's failure conditions; the October 20 report remains the test.
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AI Money Bought Running Power Plants and Sold the Build-Out
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Frontier Map — the 130-week bushing, not the transformer core, is the grid's longest lead time
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Monolithic Power's AI Power Demand Faces a Valuation Test
Refreshes the already-linked Monolithic Power quarter with filed detail rather than a new period: June-quarter revenue $980.6M (+47.6% year over year), Enterprise Data up 164% to $380.6M, operating margin 31.0%, and a third-quarter guide of $1.14–1.16B. It carries the case's margin leg forward but the guide is a plan, not a result; the report scheduled for October 29 decides whether the conversion holds at that scale. A tax-accounting material weakness unremediated at June 30 is a reporting caveat, not a socket test.
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NVIDIA's $235 Billion Buyback Raises the Cash-Conversion Test
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Navitas' AI Power Option Still Needs Commercial Revenue
Navitas remains the unconverted leg. June-quarter revenue was $10.5M, down 27.3% year over year, with high-power revenue up more than 50% and a third-quarter guide of $13.0–14.0M; first-half operating cash flow was -$48.3M. The September 28 Army ALATTIS selection is a technical prototype with no disclosed award value or production order. No design has been removed, so neither failure condition is met, but the case's own scope rules out assuming every supplier wins; Navitas does not yet count toward conversion.
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Vicor's Raised Guide Turns a License Win Into a Revenue Test
The clearest supplier-specific conversion evidence since the September 6 review, and it widens the case beyond Monolithic Power. Vicor's September 21 release raised third-quarter sequential revenue growth guidance from near 10% to over 20% on royalties from a new non-exclusive Vertical Power Delivery license and said four leading OEMs and hyperscalers now hold licenses; the filed June quarter shows revenue of $143.4M (+49.3% year over year), backlog of $379.7M and a 24.3% operating margin. A second raise, to over 30%, was relayed on September 30 by social posts and is not yet on a filing. The upside is royalty-led rather than module shipments (royalties were already 21.2% of June-quarter revenue), so it supports content monetisation without margin concession but does not yet show module volume; the October 20 report is the test.
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Vertiv's AI Power Demand Faces an Acquisition and Delivery Test
Vertiv's June quarter grew revenue 24.1% year over year to $3.27B while missing estimates, with the full-year sales outlook raised to $14B. Since the last review it has added delivery capability rather than demonstrated rack content: the $1.45B UtilityInnovation Group deal (onsite generation and behind-the-meter controls, announced September 2) and King Environmental Services (liquid-cooling commissioning, 8-K September 24, terms undisclosed, no material financial effect expected). Acquisitions must be separated from organic content when the third quarter reports.
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CV Research via CK Capital — AI power loss scales with current squared, not watts, and one vendor transforms instead of switching
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Campaign 1: INTACT, bounded
Earlier same-day thesis review retained as context. Its prior classification is historical; the current scope review supplies the live disposition and preserves its unresolved evidence gaps.
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GE Vernova: power and grid orders
Grid demand is upstream context. It cannot establish commercial sockets or margins inside the rack; use supplier-specific power-conversion evidence.
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MPS: power conversion reaches customers
Management describes shipped power products and contributions from networking applications. This advances commercial conversion for MPS; topology durability and other suppliers remain separate tests.
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The Layers That Feed AI Compute All Trade Below Their Averages. Compute Doesn't.
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NVIDIA Guaranteed $108.5 Billion of Its Customers' Rent, and Six Months Ago Its 10-K Said It Had Guaranteed Nothing
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The AI Money Went Into the Ecosystem, Not Into NVIDIA
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The AI Buildout Is Paying the Ecosystem, Not NVIDIA
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Bloomberg — Chicago joins the data-center moratorium push
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Fifteen of twenty broke together
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SemiAnalysis — AMD Helios vs NVIDIA Vera Rubin: double-wide racks and where the rack-level constraints bite
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aibottlenecks snapshot — 2026-07-02 (deltas vs 2026-06-04 REST / 2026-06-03 DOM baseline)
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Investigation — HVDC cable-laying vessel bottleneck trace
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aibottlenecks.app monthly snapshot — 113-name chokepoint universe baseline — dashboard-snapshot
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Investigation — Following the money up Dell's supply chain — where the alpha moved and what's durable vs cyclical bubble
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AI-Lab S-1 → Thesis Crosswalk Playbook
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Investigation — xAI (SpaceX AI segment) S-1/A crosswalk read — first application of the AI-lab S-1 thesis crosswalk playbook
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NVDA Q1 FY27 Calendar Correction
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NVDA Q1 FY27 Earnings (superseded cadence date — 2026-05-28)
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Investigation — Anthropic-SpaceX $15B/yr Cloud Services Contract
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Investigation — SpaceX IPO Deep Dive: Separate Trades + the Oxygen Question
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Investigation — Optical supercycle WHY: what specifically drove the CIEN/COHR demand acceleration
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Cambrian Thesis — AI supply chain 2x2
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AI Power — Week in Review (Apr 27 – May 3, 2026)
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Chase Lochmiller (Crusoe CEO) on AI data-center economics
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Crusoe Chase Lochmiller — AI stack economics — podcast
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2026-05-01 - MPWR - Monolithic Power Systems Deep Dive
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buy-american-grid-mandate-ticker-basket — tweet
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grid-transformer-shortage-supply-chain-context — tweet
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DPA Title III determination — grid infrastructure equipment classified essential to national defense
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AI Supply Chain leadership leaderboard — top 12 +106-303% YTD + do-more-of-whats-working methodology — tweet
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The AI Power Crisis — Part 1: Two Languages of Electricity