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Tuesday, October 13, 2026

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Expert Call | Corning

Corning’s NVIDIA-backed 10x fiber expansion, enterprise connector demand and carrier capacity plans frame its optical communications outlook through 2030.

GLW $126B
P Equity Research 37 clicks

From X

@StableBread

Fajasy on X

Read skeptically, Nubeva Technologies $NBVAF (TSXV: $NBVA) is a shrinking software company living off its cash, with an AI decryptor builder that keeps slipping and a license customer that may not have renewed. Read another way, Nubeva is being prepared for a buyer. Here’s what supports the second read: → In March 2024, Netskope $NTSK, now a ~$7.6B company, bought Nubeva’s TLS (web-traffic decryption) technology and five patents for $1M. Greig Bannister, the CTO who co-invented the key-capture patents, followed the technology to Netskope. → In an August 2024 video, CEO Randy Chou said “partnering and M&A groups” from companies worth $20-30B had reached out after the July 2024 CrowdStrike $CRWD outage. → Chou wants all four AI patents granted before any partnership or sale, and two are still pending. → The FY2026 MD&A says Nubeva is “selectively engaging with lighthouse accounts,” meaning “large, high-profile organizations that serve as validation points for the technology,” to make its offering “more attractive for either future expansion or strategic partnership/M&A.” In a June 2025 video, Chou said lighthouse accounts “matter 100%” in a partnership or M&A talk. → Sales and marketing spend was $14,951 for all of FY2026, with $2.49M of cash on hand. In the same June 2025 video, Chou said Nubeva is “really not marketing” until “the patents and everything else comes in.” → The most recent investor deck is from July 2023, and since then Nubeva has communicated mostly through filings, press releases, and the occasional YouTube interview. In other words, it isn’t pitching investors either, which fits a company waiting on a buyer. A longtime investor I spoke with described Chou as reluctant to spend money, PR included, and called a sale to a larger security company the clear end goal. I’d add that Chou, who makes the call, also owns a quarter of the company.
@convequity

Convequity on X

$NVDA: custom ASICs eat into the GPU share Our scenarios include custom ASICs rising from roughly 20% of the overall AI compute mix toward 40–50%. ABBX records 21.2GW of planned capacity for OpenAI and 13.8GW for Anthropic. Within Anthropic’s plan, ABBX allocates 5GW to AWS Trainium and 5GW to Google/Broadcom TPUs, putting these custom-chip platforms at roughly 72% of its planned capacity. That is a substantial shift in hardware demand if the deployments proceed, although the plans span different timelines. With purchasing concentrated among a few large customers, their decisions to expand on custom silicon could reduce NVIDIA’s share of spending even as the overall AI infrastructure market continues to grow.
@convequity

Convequity on X

$SITM supplies timing devices used in optical modules in NVIDIA-based AI data centers. In an AI data center, a clock exists to keep parts synchronized. Training and inference run across thousands of chips in parallel, and each step depends on data arriving at the right moment. When timing slips, GPUs wait, networks stall, and expensive compute goes unused. The move from 800G to 1.6T optical modules shows how this becomes demand for timing parts. Bandwidth does not simply double. The link is split into more lanes running at higher baud rates. Each lane has a tighter jitter budget, and it often adds clock domains for the DSPs, SerDes groups and laser drivers. So each module carries more timing components, and each component has to meet a higher performance requirement. That pushes average selling prices up alongside unit volumes. The same pattern appears in the switches inside that cluster. A high-radix switch multiplies SerDes lanes as bandwidth scales. When the switch increases radix and speed at the same time, it drives more clock domains across the fabric, the ports, and the control logic. Timing content in the switch therefore multiplies rather than rising in step with the size of the cluster. This is why we see continued hypergrowth for SiTime. In NVIDIA-based data centers, SiTime's parts are discrete devices, separate from the GPU and switch ASICs, allowing timing performance to improve independently as system requirements change, and demand for them rises in several places in the rack at once.

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Vicor Update, Part Two

Vicor uses ITC exclusion-order cases to license power-module patents, with published royalty multipliers rising from 1.0x before filing to…

VICR $12B
CV's Substack 4 clicks

Expert Call | Nebius

Nebius’s 1 GW annual active-capacity target from 2027 is realistic, according to a former product manager, with greenfield data centers…

NBIS $56B
P Equity Research 4 clicks

Dell's Tailwinds

Dell booked $131.7B of AI server orders in four quarters and held a $95B backlog as enterprise AI demand accelerates.

DELL $367B
Chipstrat 4 clicks

A Month with Muse

Meta’s Muse automated website fixes and design changes for a solo publisher, illustrating how $20-per-month AI agents can reduce…

META $1.9T
MBI Deep Dives 2 clicks
AMADF · long

Amadeus It Group SA

Amadeus IT Group turns long after shares fell more than 20% since a November short call.

AMADF $25B
Value Investors Club 1 click

LQDA: finer powder, higher doses

Liquidia’s Yutrepia sales reached $170.4 million in Q2 2026, while a patent ruling threatens its PH-ILD label but leaves PAH sales and a…

UTHR $24B
Trade Ideas Flow 4 clicks

“Is Ralph Lauren Still Relevant?”

Ralph Lauren’s 2017 CEO change put Patrice Louvet in charge of reversing nine quarters of same-store sales declines and restoring the…

RL $22B
TSOH Investment Research 1 click

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