$QLCM

提及 9 首次 2025-10-10 最近 2026-03-29

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  1. Sivers作为稀缺独立cw激光供应商,战略价值远超当前市值估值。

    我个人看到 $SIVE 下跌风险较小的原因: 像 $AVGO 这样 $MRVL 的竞争对手可以直接收购 Sivers,从而控制其近中期光子学路线图... 估值约 2.9 亿美元... 如果再便宜一点的话。 Gemini 的回应很有趣: "像 Broadcom 这样以约 2.9 亿美元收购 Sivers Photonics 来扼制 Marvell 新收购的 Celestial AI 路线图不仅仅是战略行为; 这是一场投资回报率高得离谱的供应链战争。" "花点小钱,竞争对手就能控制上游光源,把握直接的 IP 路线图,并让试图整合 Celestial AI 的 Marvell 付出数十亿美元的机会成本。" 对于 $MSFT, AlChip, $MRVL, $AMZN 等超大规模云服务商来说,投资 Sivers 来确保其共封装光学(CPO)供应链可能比让它被竞争对手收购更有利。 就像 $QLCM 与 Alphawave 针对 OpenLight 生态所做的操作一样。 我的观点是:$SIVE 作为全球少数保持独立运营的 cw 激光器供应商之一的关键瓶颈地位... 其固有的价值远超其市值。 对冲基金因「MC」和瑞典交易所上市限制无法投资从而压低估值... 对于收购方或散户投资者来说反而是一种因祸得福。

    英文原文

    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.

  2. 设想 Broadcom 收购上游光源后控制 Marvell 短中期光子路线图。

    只是一个洗澡时突然冒出来的想法: 像 $AVGO 这样的竞争对手,如果用 2.8 亿美元收购 $MRVL 的上游光源 $SIVE,那会很聪明。 这样你就能控制他们短中期的光子学路线图,连 Celestial 也在你手里。 有点像 $QLCM 当年把 Alphawave 和 OpenLight 生态圈拿下。 已经有不少对冲基金在谈潜在并购机会了。 问了 Gemini,回答还挺好笑。

    英文原文

    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

  3. 个人偏空 ARM 和 QLCM,更偏好联发科及其与谷歌的高增长 ASIC 业务。

    我个人其实对 $ARM 和 $QLCM 都偏空。 问我 $ARM 可能不是最合适,因为我之前确实帮过不少 RISC-V 的东西,所以我有点偏见。 至于 Qualcomm……联发科也许更值得做多,尤其是它和 $GOOGL 合作的高增长 ASIC 业务。

    英文原文

    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.

  4. 对比美国和中国的机器人演示,强调中国在身体制造和供应链实现上更领先。

    美国机器人 vs 中国机器人。 我们是不是已经完了? 今天 Jensen 在 $NVDA GTC 上展示了一个现场演示,基本上像个“雪人 Frosty”一样。 这还是在 $QLCM 的机器人演示摔倒之后。 而在中国那边,随便就能看到各种机器人演示……

    英文原文

    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.

  5. 供应链瓶颈等权重组合周涨12.83%,全红表现惊人。

    基于供应链映射的“瓶颈ETF”。 没有一只股票是红色的(下跌)。 等权重组合1周收益:+12.83%。 名单: $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% 我觉得机构是不是直接把上周框架里的这份名单全买了? 这种表现水平简直太疯狂了。

    英文原文

    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.

  6. 梳理AI半导体供应链瓶颈,看好存储、光子及台积电,指出中游为定价关键。

    以下是我对 Semivision 瓶颈总结的 TLDR(太长不看版)及其映射到投资框架的内容: HBM(高带宽内存): HBM4 (16Hi) - 三星,SK 海力士,$MU HBF(高带宽闪存)- $SNDK,Kioxia Base Die(基础晶圆)- $TSM,三星(内部) CPO(共封装光学)/光子学: 玻璃基板:$GLW,$INTC,Ibiden 光学:$LITE,$AVGO,$COHR,$MRVL 电力传输: 电压:$MPWR,$VICR 散热:$VRT,$NVT,$MOD 电网:$ETN,$SBGSY SiC/GaN(碳化硅/氮化镓):$ON,$IFNNY 机架:$APH N2 产能: $TSM,$AMD(数据中心先行者),$QLCM,联发科,$NVDA 先进封装: 良率:$CAMT,$ONTO,$KLAC OSATs(外包半导体组装与测试):$AMKR $BESIY,Disco Semivision 的总结: 1. “先进封装产能与良率控制” 2. “HBM 生态系统协调” 3. “电力传输创新(SiC、GaN PMICs、机架级电源架构)” 4. “CPO/光子学集成能力” 5. “数据中心基础设施作为半导体收入实现的‘隐性限制因素’” 正如你可能知道的,我对上述的存储/光子学领域(如 SK 海力士/三星,$SNDK,$MU,$LITE)以及 $TSM 最为看好。 我可能会稍微向上游延伸,比如 $AXTI(磷化铟前驱体),但中游玩家是瓶颈所在,并掌控大部分定价权。 但为了简化普通散户投资者的理解,我添加了相关公司的评论。

    英文原文

    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.

  7. 分析$NBIS自建数据中心、GPU贬值、融资稀释及过度建设四大风险。

    关于风险的好问题,我也喜欢讨论下行风险。 1. 超大规模云厂商(Hyperscalers)在5年内完全自建数据中心,包括GPU($GOOGL的TPU,$AWS的Tranium)、能源和选址。 这类似于高通(Qualcomm)与苹果的关系。苹果使用$QLCM,然后建立垂直整合——一旦完成就抛弃客户。因此在此期间建立公司自身护城河很重要($NBIS在此期间通过Cursor、Shopify等企业客户进行全栈建设并扩展子公司。完全依赖一两个超大规模云厂商合同的公司表现不佳)。 2. $NBIS、$IREN、$CRWV和$ORCL的GPU贬值风险。 任何进行全栈服务的提供商都有更高的利润率、更高的收入和更快的爬坡速度。但这涉及在GPU上花费数十亿美元,而这些GPU在未来4年内价值大幅缩水。 我一直认为GPU多年后仍有价值,例如TPU仍在使用7-8年,2020年的$NVDA GPU仍高价转售并用于不同层级的推理(低优先级),并与新模型并行运行。 3. 信贷收紧+稀释 建设支出过多->需要更多稀释以建设和购买GPU。我们已经看到$4B可转债+$2.5B ATM发行。$NBIS应该足够,但始终存在利润率低于预期的风险(如$ORCL建设),然后公司需要更多稀释。在更难融资的市场中(如$APLD垃圾债),可能会遇到$CRWV的问题,被迫以糟糕的利率融资,侵蚀利润率。 4. 过度建设 如果LLM软件有突破,例如Claude Opus 4.5使用DeepSeek类型的轻量级推理,那么GPU利用率降低,我们会看到数据中心、$NVDA、$AMD等随AI浪潮下跌。 这些可能是$NBIS的四个主要风险。每家公司不同,对于$IREN我会指出其IaaS层的软件编排以优化利润率,但$NBIS已经掌握这一点。

    英文原文

    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.

  8. 独立建设促专业化,全栈是护城河,苹果或向上游整合。

    @DeepValueBagger 是的,观察得很准,随着各自独立建设,我们很可能会看到专业化分工的出现。 全栈能力如何构建构成了护城河,像 $NBIS 这样的模式目前尚未被复制。 不过,你也可以指出 $APPL 与 $QLCM 的情况,在熊市(🐻case)情景下,苹果正在向上游整合。

    英文原文

    @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

  9. 建议买入AMD,降级MU为持有,关注宏观风险。

    对于像 $AMD 这样的半导体股,当其与 OpenAI 的 1000 亿美元合同开始放量时,是未来 1 年的买入时机。 有评论提到 $MU,由于相比 $TSM 等公司,$MU 在中国拥有大量的 DRAM/NAND 存储业务,因此受中国争端的影响更为实质性地类似于 $QLCM。所以我会将其降级为持有。 当然,鉴于特朗普是个变数,我不确定宏观风险会如何演变,如果紧张局势缓和,估值将会重新调整。

    英文原文

    For semis like $AMD it’s a buy for 1Y out when the 100B contract with OpenAI starts ramping up. Some other comment mentioned $MU, they’re more materially affected like $QLCM is to China disputes bc of large dram/nand for memory over there compared to something like $TSM. So would dg it to hold. Of course I’m not sure how macro risk will play out with Trump being a wild card and all, if tensions ease up things would be re-rated

  10. 关税冲击致市场恐慌,建议现金抄底非直接受损股,作者认亏持仓。

    让人想起越南的闪回。 说笑归说笑,特朗普对中国进口商品加征100%关税并限制关键软件对华出口后,市场下跌超过3.65%。 这一突发事件是理性的重新定价,但也由恐惧和追加保证金通知(margin calls)所催化(盘后,例如$IREN下跌21%,或$BTC跌至10.7万美元)。 这通常预示着增长放缓和通胀上升(降息概率降低)。 然而,Polymarket和美联储期货数据仍显示到2025年有70-72%的概率进行3次降息。明年的中期选举通常对股市有利。而且我们正接近季节性行情的尾声,这通常对股市最有利。 当然,许多股票在交火中下跌,没有任何直接暴露,例如$UNH或$DKNG(例如Draftkings与中国、进口等无关,因为它是美国体育相关的,但下跌了9.4%)。 简而言之:可能是短期的关税冲击,轻微的宏观风险,以及由恐惧引发的整体抛售,但随后将恢复。 现在市场已关闭,在流动性低、利差大的时候(如盘后/隔夜)可以赚很多钱(在早期的关税事件中,$HOOD隔夜从45美元跌至28美元,随后大幅反弹至100美元以上)。 正是由于这类随机事件,我不建议持有期权,因为头寸可能会瞬间被核爆。 如果你持有现金头寸,去为极端抛售寻找便宜货,例如$CIFR下跌16%至14美元,而不是恐慌性地卖出你自己的头寸。 否则,这类事件通常只是短期的冲击,我们可能会看到在10月下旬降息前的恢复。当然,前提是股票没有像$QLCM、$NKE、$MU、$CDNS等那样受到中国收入的实质性影响。 (我没有预料到反应的严重程度,今天损失了不少,但将持有头寸)。

    英文原文

    Getting Vietnam flashbacks. Jokes aside, markets dropped 3.65%+ after Trump tarrifs Chinese imports by 100% and restricts the export of critical software to China. This surprise event was rational repricing but also catalyzed by fear + margin calls (after hours, with $IREN dropping 21% for example, or $BTC dropping to $107k). What this typically foreshadows is slower growth and higher inflation (lower rate cut odds). However, Polymarket and Fed futures data still shows 70-72% of 3 rate cuts by 2025. Midterm elections next year are also generally bullish for stocks. And we're approaching end of season seasonality, which is typically the best for stocks. And of course, many stocks dropped in crossfire without any direct exposure, such as $UNH or $DKNG (eg. Draftkings has nothing to do with China, imports, etc. since it's US sports related, but fell 9.4%) TLDR: likely a short term tariff shock, mild macro risk, and a overall sell-off from fear, but into recovery. Now that markets are closed, a lot of money can be made is in times of low liquidity high-spread like after-hours/overnight (during earlier tariffs, $HOOD dropped from $45 to $28 overnight then went on a massive rally to $100+). Random events like these are why I don't recommend options as positions can be nuked up in an instant. If you have cash positions, go bargain hunting for extreme selloffs, eg. $CIFR dropping 16% to $14, instead of panic selling your own positions. Otherwise, things like these are usually short term from shock, and we'll likely see a recovery frontrunning rate cut in late October. That of course if the stock isn't materially impacted from China revenue unlike $QLCM, $NKE, $MU, $CDNS, etc. (I didn't expect the extent of the reaction, lost a decent amount today, but will hold positions).