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Tuesday, October 27, 2026

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@AsifSuria 1 click

Asif Suria on X

Mary Barra continues to show that she is the GOAT of the automotive industry. Despite the big pullback in $GM stock today, over the last year: Ford is essentially flat Rivian $RIVN is down 5% Tesla $TSLA is down 16% Stellantis is down a whopping 60% GM is up more than 30% Pulling back the curtain 10 years, Ford generated no returns (not taking dividends into account) and Stellantis lost a third of its value. GM is up 139% over the last 10 years. Barra took on the role of CEO in January 2014 after being with the company since 1980. Obviously the ten year return pales in comparison to the returns of Tesla or the NASDAQ over that time but she has continued to do a great job in a challenging industry that has undergone tremendous change since Tesla transformed the landscape.
@convequity 1 click

Convequity on X

If scale-up uses VCSEL arrays, we think Lumentum ($LITE) would compete with several vendors, eroding its valuation's scarcity premium. Many smart investors are bullish and credit Lumentum with an exclusive ability to make ultra-high-power CW (continuous-beam) lasers for scale-up links between AI chips. If those links go wide and slow (many small VCSEL or microLED emitters, each at modest speed), that case could break down. Lumentum's own Open Compute Project demo used VCSEL arrays from its smartphone 3D-sensing manufacturing platform. The demo is an in-rack proof of concept, not a replacement for every higher-power laser. Credo ($CRDO) opened a workstream with a hyperscaler and ams OSRAM to standardise wide, parallel links, citing supply-chain resiliency, targeting 2027 approval. VCSEL arrays are tested on the wafer, so they are cheap in volume. The standard would let operators buy from Coherent ($COHR), ams OSRAM and others. In that case, we think Lumentum competes on scale and cost, not scarcity: customers can switch, pricing power and margins come under pressure and share must be won. Near-term earnings can still benefit from the laser shortage, with Lumentum sold out through early 2029.
@StableBread 5 clicks

Fajasy on X

I went through every Boost Run $BRUN contract with disclosed terms to see how much of its $2.6B+ of total contract value (TCV) they cover. Cohere, the Canadian developer of AI models for businesses and governments, agreed on September 30, 2026, to pay $BRUN $525.6M over the agreement’s term for $NVDA’s GB300 NVL72 racks, each with 72 Blackwell Ultra GPUs. Part of the $525.6M is a prepayment $BRUN hasn’t disclosed. But if we follow the 22% average $BRUN says its prepayments run, the prepayment would be ~$116M. Each rack’s term runs 60 months, and the first racks should start in Q2 2027. Cohere can terminate and get back everything it prepaid if it hasn’t accepted a minimum number of racks by July 15, 2027. $BRUN has disclosed terms for seven contracts, and the two largest are with Cohere and Thinking Machines Lab, the AI startup founded by former OpenAI CTO Mira Murati: → Fluidstack (November 6, 2025): $63.6M over 24 months, or $31.8M/year. → 1,280 B300s, Charlotte (March 15, 2026): $116.1M over 36 months, or $38.7M/year. → 256 H200s, Raleigh (March 16, 2026): $3.7M over 12 months, or $3.7M/year. → Thinking Machines Lab (May 21, 2026): $471.7M over 36 months, or $157.2M/year. → June order, 240 GPU servers (June 8, 2026): $207.6M over 36 months, or $69.2M/year. → July order, 1,536 B300s (July 9, 2026): $222.5M over 48 months, or $55.6M/year. → Cohere (September 30, 2026): $525.6M over 60 months, or $105.1M/year. --- → Total: $1.61B, or $461.3M/year. Unnamed customers are labeled by what they rent, including $NVDA’s current B300 (Blackwell Ultra) and older H200 GPUs. $BRUN’s TCV is over $2.6B, so the other $989M+ is in deals without disclosed terms. The October 6 release calls the $2.6B “total revenue customers have committed to pay,” but the August 14 Q2 deck also counted renewal options and LOIs in TCV, and $BRUN hasn’t said whether the definition changed. So the conservative read counts only the seven contracts with disclosed terms, worth $1.61B, not the $2.6B headline.

Investor Letters

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Right-Sizing Memory

Micron’s AI memory demand depends on workload-specific accelerator designs that shift bits among HBM, GDDR and LPDDR, changing wafer…

MU $946BNVDA $5.2T
Chipstrat 4 clicks

Are Neoclouds Dead?

Neoclouds face tighter debt financing as AI infrastructure capex outruns cash flow, leaving cash-burning GPU providers more exposed than…

NBIS $42B
Daniel Romero 9 clicks

Reddit: Deep Dive Analysis

Reddit generated $805 million in Q2 2026 revenue, 95% from ads, but slowing Google search referrals expose AI-driven traffic and…

RDDT $18B
Hated Moats 6 clicks

Qualcomm Inc. (QCOM)

Qualcomm supplies chips for on-device AI agents and data center inference, with Meta and AWS agreements expanding its role across both…

QCOM $195B
SixSigmaCapital: Navigating the Financial Markets 5 clicks
SBAC · long

Sba Communications CORP

SBA Communications trades at 14.9x forward AFFOPS, near a record low, despite being pitched as the market’s cleanest tower operator.

SBAC $20B
Value Investors Club

The Data Center Bridge

Small- and mid-cap data center stocks trade as one despite sharply different funding bridges: 12 of 15 cover fixed costs on signed…

IREN $11B
CV's Substack 16 clicks

Amkor Q3 FY12/26 Earnings Review

Amkor's Q3 sales were flat at $1.991 billion as computing and automotive/industrial growth offset a 27% communications decline; Q4 sales…

AMKR $10B
Cestrian Capital Research 4 clicks

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