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Sunday, November 1, 2026

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@DeepSailCapital

Deep Sail Capital on X

$CRDO - Others have tried this already. $MRVL and $BDCM have offered merchant AEC DSPs for years. A cheaper merchant DSP hasn’t broken the integrated model so far. Credo’s moat is the system not just the DSP. Credo owns qualification, SerDes, AEC patents, ETC which allow it to keep the full cable end to end. It has deep relationships with five hyperscalers and growing engagement with neoclouds. Anyone that knows the market knows $MXL might try to get a piece of the market but unlikely to get a material piece.
@convequity 19 clicks

Convequity on X

Cerebras ($CBRS) is a taxi built for very fast inference while Nvidia ($NVDA) runs the bus network. Most of the confusion around CBRS comes from reviewing the wrong vehicle. In our view, Cerebras' wafer-scale design and abundant on-chip SRAM let it reach high utilization at batches of roughly 3–4. That makes it exceptionally fast for low-batch inference. GPUs need much larger batches and tightly connected clusters to get there, but their flexibility, scalability and throughput make them the better mass-market token factories. The bus wins on economics when serving many users at once. We think Cerebras is mostly attractive over the next two to three years, provided demand grows enough for premium-priced, high-speed inference rather than mostly low-cost, high-volume tokens. How big that premium segment gets is the main variable in our thesis.
@convequity 7 clicks

Convequity on X

Nvidia's DSX POD container shortens the gap to system-level competitors like Google and Huawei, but it does not eliminate that gap. At GTC Berlin on 21 October, $NVDA introduced DSX POD, a partner-built container for Vera Rubin AI factories. Nvidia says it cuts deployment at a prepared site from six months to as little as 14 days, with worldwide delivery targeted for early 2027. Our latest Nvidia report, published a few days ago, flagged one drawback: Nvidia is not expanding into the full system solution quickly enough. Huawei, Google and Broadcom are leveraging system-level optimization, where the chip, the racks, the network between racks, power, cooling and software are designed together for one owner's workload. That is where they are finding further efficiency gains in the competition against Nvidia. Nvidia has stayed within rack-level optimization: the GPU, the NVLink switch and the rack they sit in. That is understandable. Nvidia serves many customers with many different designs and criteria, so it has to find the most common denominator those customers can accept. It also means this handicaps Nvidia's competitiveness against vertically integrated competitors like Google and Huawei. A container sits between a rack and a full system. Partners integrate the Vera Rubin racks, the networking, the power and the cooling inside the container and validate them together before delivery, so the customer receives a tested unit rather than racks to assemble. In our view that is why the gap shortens. It is still a gap, because Nvidia is not a vertical player and still does not provide the system-level solution. What DSX POD does show is that Nvidia is adaptive and very eager to stay in the game. We expect it to try whatever it can to alleviate this drawback.

Investor Letters

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When the liquidity does not add up

Arbor Realty Trust’s dividend suspension is presented as creating $60 million of liquidity, raising questions about its ability to meet…

ABR $2.2B
John Hempton's Newsletter 3 clicks

FTAI 3Q26: Aero margins in focus

FTAI’s Aerospace Products margin rebounded to 31% as CFM56 module output rose, while Power deposits and contracted deliveries fund its 2027…

FTAI $20B
Stock Thoughts 4 clicks

Microsoft's AI Boom Has A Cost

Microsoft’s Azure grew 48% as AI monetization accelerated, but doubled CapEx, largely for CPUs and GPUs, reduced quarterly free cash flow…

MSFT $3.9T
Yiannis Zourmpanos 2 clicks
T · short

At&t INC

AT&T’s stalled deleveraging and share repurchase case has prompted a bearish turn on the telecom stock.

T $144B
Value Investors Club

CVX Earnings Review

Chevron’s Q3 revenue rose 35% to $65.2 billion and EBITDA 75% to $20.2 billion, while production trailed guidance and refining margins…

CVX $465B
Cestrian Capital Research 3 clicks

SNY Earnings Review

Sanofi raised FY26 guidance after Q3 sales grew 14.3% at constant currency, led by 34.8% Dupixent growth; vaccines declined 6.6%.

SNY $108B
Cestrian Capital Research 1 click

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