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Tuesday, October 20, 2026

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Vicor Update, Part Three

Vicor’s $66.6 million in AI power-delivery royalties generated about $50 million of operating profit, eclipsing its module business as revenue reached $197.1 million.

VICR $10B
CV's Substack 26 clicks

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@SouthernValue95

SouthernValue on X

Danaher $DHR is combining technology from several of its bioprocessing and life science companies with Lab Robotics startup Automata to launch an AI-powered robotic autonomous research lab. From the Press Release: Danaher's first AI-powered autonomous lab is designed to deliver: - Speed: Up to 8x faster discovery of affinity reagents, helping researchers get from idea to breakthrough sooner - Scale: Unlocking up to a tenfold increase in annual reagent generation, from tens to hundreds of reagents per year as the lab scales - Quality: Each design built in the lab would also be verified, tested and fed back to improve the next, without trading speed for scientific rigor - Sustainability: Over time, this approach is expected to complement traditional immunization-based methods used in the discovery of antibodies and other research tools Based at Abcam, a Danaher company, the lab uses AI to help create new affinity reagents, including antibodies, then builds and tests each one, feeding every result back into the model to improve the next design. The lab brings together industry-leading technologies and expertise from several Danaher operating companies, including Beckman Coulter Life Sciences, Cytiva, Genedata, Integrated DNA Technologies, and Molecular Devices, in one connected workflow. The device orchestration and robotic automation is the result of collaborative work with Automata*. This continuous design-make-test-learn loop can run in a fraction of the time it takes today, without trading speed for scientific rigor. This approach applies the same test-and-verify discipline of continuous improvement long used across Danaher operations to an AI-enabled laboratory environment. The lab is set to be an early proof point for how Danaher's smart instruments, AI-ready data, and expert agentic systems can accelerate scientific discovery and medical progress. https://t.co/mw00CBjDC4
@SouthernValue95

SouthernValue on X

Morgan Stanley's Wigg: " $GOOG AI infra chief Amin Vahdat says Power lead times are directly gating capacity though GOOG would still rather remain grid-connected than fully self-generate as supplying 1 GW at 99.99%+ reliability on a standalone basis can effectively require ~2 GW of generation because of redundancy requirements. GOOGL is targeting a doubling of token-serving capability every six months. GOOGL’s 7-8 year-old TPUs are still running at 100% utilization despite the company using roughly a 6-year depreciation life,"
@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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Heico Corporation

HEICO sells FAA-approved aircraft replacement parts at 30% to 50% discounts to OEMs, gaining customers as restrictive aftermarket contracts…

HEI $43B
D Invests 13 clicks

Copper Fox Metals: Research Flash

Copper Fox’s C$9.1 million Schaft Creek program advances metallurgical, tailings, water and road studies toward a pre-feasibility study,…

TECK $31B
Atrium Research - Equity Research 6 clicks

AppLovin Deep Dive

AppLovin rebuilt its ad model with AXON 2.0, lifting LTM revenue to about $7 billion and margins to 77% as Unity competition threatens ad…

APP $92BU $19B
Speedwell Memos 66 clicks

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