$QLCM · 海外大V持仓追踪

$QLCM 现在是什么情况？

最近有人说了 $QLCM 什么？

下面是最近 8 条提及 $QLCM 的公开帖，按时间倒序。每条都附原帖链接，可自行核对。

• 2026-03-30中性原文
  The reason I personally see less downside risk with $SIVE: A competitor to $MRVL like $AVGO can just buy Sivers outright and their near-medium term photonics roadmap… At ~$290m… if it gets any cheaper. Gemini responses were interesting: “ A competitor like Broadcom buying Sivers Photonics for ~$290M to choke Marvell’s newly acquired Celestial AI roadmap isn't just strategic; It is supply chain warfare with an absurdly high ROI. “ “ For pocket change, a competitor could buy the upstream light source, control the immediate IP roadmap, and inflict billions of dollars worth of opportunity cost on Marvell right as they try to integrate Celestial AI “ It’s likely better for hyperscalers like $MSFT, AlChip, $MRVL, $AMZN to invest in Sivers to secure their CPO supply chain then have it being bought out by one of their competitors. Like what happened already with $QLCM and Alphawave for OpenLight. My opinion: $SIVE chokepoint as one of the few projects remaining independent cw laser suppliers in the world… Is inherently way more valuable than their marketcap. Hedge funds not being able to invest due to “MC” and Sweden listing to keep valuations depressed… is a blessing in disguise for both acquisitions or retail investors.
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• 2026-03-29看空原文
  Just a shower thought: Would be smart for a competitor like $AVGO to buy $MRVL upstream light source for $280M with $SIVE. Then you control their short-mid term photonics roadmap with Celestial. Kind of like $QLCM did with Alphawave and OpenLight ecosystem. Quite a few hedge funds already talked about potential M&A opportunities. Asked Gemini, response was funny
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• 2026-03-24中性原文
  I'm actually personally pretty bearish on both $ARM and $QLCM. Probably not the best person to ask on $ARM since I did help out RISC-V quite a bit so I'm a little biased. As for Qualcomm... Mediatek is probably better long, especially with their high growth ASIC arm working with $GOOGL.
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• 2026-03-16中性原文
  American Robotics vs. Chinese Robotics. Are we cooked chat? Today Jensen Showcased a live demo of basically Frosty the Snowman at $NVDA GTC. This is following $QLCM's robot falling over at a demo. Meanwhile over in China, there's random robots out there sprinting marathons around the city.
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• 2026-02-12看多原文
  The "Bottleneck ETF" from supply chain mapping. Not a single name red. Equal weighted results 1W: +12.83%. List: $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% I feel like institutions just bought this entire list from last week's framework? This level of performance is pretty crazy.
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• 2026-02-07看多原文
  Here's my TLDR + mapped into investment framework from Semivision bottleneck summary: HBM: HBM4 (16Hi) - Samsung, Sk Hynix, $MU HBF - $SNDK, Kioxia Base Die - $TSM, Samsung (internal) CPO/photonics; Glass Substrate: $GLW, $INTC, Ibiden Optical: $LITE, $AVGO, $COHR, $MRVL Power Delivery: Volatage: $MPWR, $VICR Thermal: $VRT, $NVT, $MOD Grid: $ETN, $SBGSY SiC/GaN: $ON, $IFNNY Rack: $APH N2 Volume: $TSM , $AMD (First mover dc), $QLCM, Mediatek, $NVDA Advanced Packaging: Yield: $CAMT, $ONTO, $KLAC OSATs: $AMKR $BESIY, Disco Semivision's summary: 1. "advanced packaging capacity and yield control" 2. "HBM ecosystem coordination" 3. "power delivery innovation (SiC, GaN PMICs, rack-level power architectures)" 4. "CPO/photonics integration capability" 5. "data center infrastructure as a “hidden limiter” to semiconductor revenue realization" As you probably know, I'm probably most bullish on memory/photonics like Sk Hynix/Samsung, $SNDK, $MU, $LITE above. And $TSM. I probably go a bit more upstream like $AXTI for InP precursors, but midstream players are the chokepoint + control most of the pricing. But just added commentary of related companies to topics to make things simpler for the regular retail investor.
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• 2025-11-25中性原文
  Good question about risk, I enjoy talking about the downsides too. 1. Hyperscalers completely their own datacenter buildout with GPUs (TPUs with $GOOGL, Tranium with $AWS), energy, locations in 5+ years. This is the analogy of Qualcomm with Apple. Apple just uses $QLCM, then builds it's own vertical integration -> once it's done it sacks the customer. Hence why it's important to build up a company's own moat during the time ( $NBIS is doing full-stack with its own enterprise clients like cursor, shopify, etc during this time and scaling subsidiaries. Companies fully dependent on one or two hyperscaler contracts don't do well). 2. GPU deprecation for $NBIS, $IREN, $CRWV, and $ORCL. Any provider doing full stack has higher margins, higher revenue, higher ramp. But that comes into spending billions on GPUs and the GPUs not too much value over the course of the next 4 years. I've always maintained GPUs are still valuable many years later, eg. TPUs still are used 7-8 years later, 2020 $NVDA GPUs are still resold high and are used different stacks of inference (lower prio) but run alongside newer models. 3. Credit tightening + dilution Too much spend on buildout -> needs to dilute more to build + buy GPUs. We've already seen that with the $4B convertible + $2.5B ATM offering. $NBIS should have enough, but there's always the risk margins are lower than expected eg. $ORCL buildout, then the company needs to dilute more. In a market where it's harder to raise eg. $APLD junk bonds, it might run into the $CRWV problem where they are forced to raise money with terrible interest rates cutting into the margins. 4. Overbuildout If there's a breakthrough in LLM software, for example, Claude Opus 4.5 using deepseek type lightweight inference, then less utilization of GPUs then we see data centers, $NVDA, $AMD, and others go down with the AI ship. Those are probably the four main risks for $NBIS. This is different for each company, for $IREN I would point to software orchestration for their iaas layer for margin optimization but for $NBIS they have that down.
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• 2025-11-04中性原文
  @DeepValueBagger Yeah good observation, we’ll likely see specializations emerge from separate buildout. It is a moat in how you do full stack and some models like $NBIS haven’t been replicated yet. Then again you can point out $APPL vs $QLCM with Apple sucking back up the stack as the 🐻case
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