与「Photonics」相关的搜索结果

过去一段时间，只要谈到AI投资，大家最先想到的往往还是英伟达。 但我越来越觉得，如果只盯着一家芯片公司，我们看到的可能只是AI浪潮中最显眼的一部分。训练和运行AI模型，不仅需要GPU，还需要数据中心、电力、云端算力、高速数据传输，以及最终将AI带入现实世界的机器人。 换句话说，AI不是一家公司或一类芯片的故事，而是一场覆盖整条基础设施供应链的长期建设。这也是我开始关注 @reserveprotocol 的原因。下面我想说说Reserve到做了什么？ Reserve围绕去中心化代币基金，也就是DTF来构建产品和基础设施。它通过Ondo Globa Markets的代币化股票，将AI供应链中的不同公司组合成五个链上主题篮子，让符合资格的用户能够分别了解和接触AI建设的不同环节。而且我认为这次产品设计最值得关注的地方，不是简单地把股票搬到链上，而是把原本比较分散的AI基础设施主题，拆解成了五条更容易理解的投资方向。 1. AI Infrastructure（BUILDOUT） BUILDOUT覆盖相对完整的AI硬件和基础设施技术栈。如果把AI产业比作一座正在扩建的城市，BUILDOUT关注的就是修建这座城市所需的各种底层设施，而不是只押注其中一家明星公司。 2. AI Power（POWER） AI运行需要大量电力。数据中心规模越大、模型训练越复杂，电力供应就越重要。我认为，能源是AI讨论中经常被低估的一环。算法可以快速升级，但发电设施、电网接入和长期供电合同并不能在一夜之间完成。POWER关注的正是为AI运行提供能源支持的企业。 3. AI Capacity & Neocloud（NEOCLOUD） NEOCLOUD聚焦将高性能计算资源作为服务提供给客户的企业。不是每家公司都有能力自行购买大量GPU、建设数据中心并维护整套计算基础设施。因此，算力租赁和新型云服务正在成为AI产业链中的重要组成部分。在我看来，这一方向值得关注的原因，是它直接连接了算力供给与企业的实际AI需求。 4. AI Photonics（PHOTON） AI不仅需要计算，还需要在芯片、服务器和数据中心之间快速传输大量数据。PHOTON关注的是光子技术和高速数据传输，也就是帮助数据高效流动的光学层。 很多人关注一块芯片能算多快，但我认为，芯片之间能否高效交换数据，同样可能影响整个AI系统的性能。 5. Robotics（ROBOTS） ROBOTS关注AI从数字世界进入物理世界的过程，包括机器人、自动化设备及相关产业链。如果说大语言模型让我们看到了AI理解和生成信息的能力，那么机器人代表的就是AI感知环境、作出判断并执行现实任务的可能性。这也许是五个方向中最直观、同时最具想象空间的一条主线。 了解了上面5个方向，接下来说下我怎么看这次机会。 我认为，Reserve AI DTF最值得讨论的地方，是它把AI交易从猜下一家明星公司，转向了观察哪些基础设施正在真实建设。市场情绪可以在一个月内发生很大的变化，但已经签署的数据中心建设计划、电力合同和芯片订单，这属于持续数年的商业承诺，而这些基础设施支出不一定会因为市场短期下跌而立即停止。因此，把基础设施建设看作观察AI产业一个重要指标，我认为是很有必要的，而不是只关注短期价格和社交媒体热度。当然这些并不意味着基础设施相关资产不会下跌，也不能说明AI DTF能够完全规避市场的波动风险。我的观点是：市场情绪和产业建设不总是同步的，而这种差异本身会有一些只得研究的地方。 现在想想，在过去，想在链上通过单一篮子覆盖这些主题并不容易。而Reserve让这个方向开始具备更清晰的产品结构，也更适合让人去找到合适自己的方向并且找到适合自己的产品标的。 最后如果让你从AI基础设施中选择一个未来几年最值得研究的方向，你会选哪一个？ 是AI芯片和硬件、电力、云端算力、光子技术，还是机器人？ 我自己会特别关注电力和算力服务。原因很简单：无论最终由哪一家模型公司胜出，AI系统都需要持续消耗算力和能源。但这只是我的观察，并不代表这些方向一定会获得更好的市场表现。 但是我肯定会持续关注 @reserveprotocol 带来的一些优质资产和设施，对于我来说确实降低了研究传统资产的门槛。

New TradFi perps are listed! Trade the following contract on Binance Futures: 🔸 VanEck Gold Miners ETF (GDX) 🔸 Cloudflare (NET) 🔸 Vistra (VST) 🔸 Shopify (SHOP) 🔸 Roundhill Photonics & Optics ETF (LYTE) Available 24/7, up to 20x leverage. 👉

I feel like AI investing is simpler than what people expect. Because $NVDA + Jensen literally tells everyone what's coming. But somehow. Almost every. single. time. Markets dismiss it until it actually happens? Be Nvidia in 2025: Buys up EML and laser capacity. Markets dismissing it: "Photonics is a bubble and like quantum! ____ company is a scam with shady management" 1 year later: $LITE +678%, $AAOI +475.12%, $COHR +260.7%, $AXTI +3,843.9%. _ Nvidia in 2026: Buys up CW/EML capacity with LTAs. 800V shift. Extraordinary explicit about CPO shift. States Physical AI as the next theme. Markets now: "CW players are meme stocks! 800v, CPO is not coming anytime soon, Humanoids are not profitable!" Yeah... We'll see what happens in 2027. I think I'm putting my money on Jensen/Nvidia as the leading indicator.

$INTC and $AMD to sign CPU LTAs with Chinese customers for AI DCs (Reuters). - Prices of some CPU products have risen more than 40% in China since the start of the year from sources. - Month-on-month increases topping 10% for some products CPUs were already a bottleneck, following CPU ratios due to AI inference... But the broader trend of LTAs seems to be appearing from: - Memory, with $MU, Samsung, $SNDK, and SK Hynix signing DRAM/NAND LTAs. - Photonics, with $LITE, $COHR signing EML LTAs. And recent Trendforce reports that $AMD and hyperscalers are now pursuing CW LTAs. And I'm sure there's many more from MLCCs to all the way to substrates. +1 for the bottleneck investors... hard to be a "bubble that pops" if you have take or pay demand spanning multiple years.

Thanks! I’ve always shared personal research and core thoughts for free. Not trying to sell anything or tell others what to do. And above all, just being transparent about my own returns (win or loss) Maybe this information democratization upsets some business models… When others try and pitch their $40 TA subscriptions that are always right and predicted the semis crash. But if they really believed it, they would have made 5000%+ buying puts and wouldn’t need to market a paywall. Yes, if I’m on 1.4x leverage, and if a portfolio concentrated in memory/photonics underlying crashes -35% on avg… you get a 49% drawdown. I’m just sharing what happens. But I expect AI names to recover since I see demand from compute to energy to memory to networking to be structural.

Feels bad, -49.4% drawdown this month after the recent crash. My portfolio is mainly AI chokepoints and bottlenecks. In the memory, photonics, robotics, and upstream semis, (on margin) which all tend to be higher beta than others. But reduced leverage recently from the crash. I see a lot of people making fun of the drop or AI names, saying it’s obvious that: - “AI is a bubble” - “memory/kospi is a bubble” - “photonics is a bubble” - “humanoids won’t get anywhere” - “neoclouds will get replaced by hyperscalers like Meta” And a bunch of retail + bots saying “sell everything, it’s never going to recover”. But I have conviction that all these themes are backed by structural revenue growth or technological shifts. And I’ve had similar drawdowns back when there admin threatened global tariffs, before markets pulled off a recovery. I personally have a longer horizon + higher tolerance for volatility than others, to see how this plays out. Especially considering a lot of retail view things on a week to week basis: no, my thesis isn’t wrong yet if I project revenue inflection in H2 2027 and it’s 2026 now. Anyway, feels bad short term just wanted to share anyway for transparency.

SemiAnalysis on $META “overcapacity” and market reactions with $NBIS and others: “We believe Meta’s datacenter and compute will accelerate”. “Capex in 2027 will be shockingly high”. Recent global crash, especially in the photonics sector was stupid… Off misleading narratives of Meta dropping out of AI race to sell excess compute… When in fact things are likely to accelerate from Meta catching up to GPT5.5. I’m personally expecting a sharp V recovery, especially with the names that crashed 50%+ from this narrative.

Today, China’s reported pause on new cross-border TRS allocations. This could have a larger impact on global semiconductor equities than many realize. Chinese HFs have evolved into some of the most sophisticated researchers of the semiconductor supply chain globally. They are often early in identifying underfollowed opportunities long before they become consensus trades. In recent years, they were among the early buyers of photonics names such as LITE and storage-related names such as SNDK before broader institutional participation arrived. Their reach extends well beyond the US into Korea, Taiwan and Japan, particularly across MLCC, power semis, analog, specialty materials, equipment and component suppliers. If cross-border TRS growth is restricted, many small/mid-cap semiconductor names could lose an important source of marginal demand and price discovery. Negative for breadth across KR/TW/JP semis. Potentially positive for HK-listed semiconductor as capital is redirected toward markets with fewer outbound constraints.

I think something to highlight also is not all my ideas are green, especially on short term timeframes! My core three themes are Neoclouds (Energy), Memory, and Photonics. And I'm glad I chose the literal top performers for each segment from $NBIS to $EWY leaps to $SIVE. However, I still have pretty large losses following the false analyst report on CPO delays that $NVDA refuted: That nuked 3 of my TW CPO longs from Foci, Msscorp, Xintec and others. (which are heavily red). Shunsin / Win Semi are holding up much better though. Some of the other ones in Japan that I've mentioned like Towa, Harmonic Drive, NCI, etc. are performing much better following short-term volatility. As for Korea yes I have PTSD for from Auros and now Foosung that are both both red (I didn't own 093370 though, just got PTSD watching price action). Idk if I'll touch Korea again, just way too volatile. But I still think those will end up green eventually following Sk hynix/samsung qualifications + HVM, and the future japanese supply chain shutdown. I also did change some of my previous long ideas like $XLU following the Iran War nuking all chances of rate cuts from 3-4 down to 0, and that didn't play out too well. Three software names I mentioned previously like $TTD, $META ended up red. $SNAP, I also changed my thesis after noticing the endless SBC accounting methods. $RDDT idea was finally in the green from $130 -> $170 after a long time. But I think the vast majority of my ideas like $MRVL, $NBIS, $ARM, $INTC, $MU, $LITE, SK Hynix, Samsung, for larger cap. Down to $AXTI, $LITE, $AAOI, $RPI, $IQE, and others for smaller cap positions directionally play out pretty well. With random stuff like $SIMO, $HPS.A, $TSEM, $AEHR, $LPK, $SOI, $ALRIB, and so on all ended up turning out aight too. The blended average is kinda overwhelmingly green since majority of my long ideas are triple digit YTD. But I've definitely missed a few. Also entry point is really important too... I mentioned $AAOI at $30 or $AXTI at ~$13, but not everyone has the same entry point. So if someone bought AOI at $220 and it dropped to $160, I'd feel bad. But regardless, I'd prefer to judge how ideas play out on medium term timeframes over a few months rather than a few weeks.

Wow… new extremely transformative news got released today. Making a certain photonics company: The effective upstream laser chokepoint for $NVDA NVLink fusion CPO ecosystem. With their lasers now in Nvidia’s optical infrastructure supply chains. Can anyone guess the name?