Knight

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Knight

Knight

@IkaKnight_

#gochiusa \ #LFC 🏆 \ #原神 \ #ぼっち・ざ・ろっく\ #ウマ娘 \ シャロは俺の嫁。\ EN/JP/CN \ Long Investor

Singapore Beigetreten Eylül 2010
498 Folgt267 Follower
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Knight
Knight@IkaKnight_·
Let’s go Osaka
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湊貴大|トゥライ
【📣お知らせ】 magnetのフルリメイクバージョン『magnet -recall-』が投稿されました!
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Knight
Knight@IkaKnight_·
@jukan05 Ya isn’t even out yet and it’s already a bottleneck 😭
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Jukan
Jukan@jukan05·
"The Next Bottleneck After HBM Is HBF"... A Computing Pioneer's Prediction "I have been consistently paying close attention to High Bandwidth Flash (HBF). I'm also collaborating with semiconductor companies on this. HBF is highly likely to stand at the center of the next bottleneck — a surge in demand." David Patterson, professor at UC Berkeley, Turing Award laureate, and widely recognized as the architect of RISC (Reduced Instruction Set Computing — an approach that simplifies instructions to improve processing efficiency), made these remarks on April 30 (local time) when he met with reporters in San Francisco immediately after delivering a keynote at the Dreamy Next event. Asked about what comes after HBM (High Bandwidth Memory), which is currently in a supply-constrained bottleneck, Professor Patterson answered that HBF will emerge as the next focus. Specifically, he said, "Although a number of technical challenges still remain, the HBF being developed by companies such as SK hynix and SanDisk is a meaningful alternative in that it can deliver large capacity with low power consumption," adding, "Going forward, how efficiently data can be stored and delivered will become the critical variable." This past March, SK hynix announced that it had joined hands with U.S. flash memory company SanDisk to drive the global standardization of HBF. Unlike HBM, which stacks DRAM, HBF is built by stacking NAND flash — a non-volatile memory. Their roles are also distinct. While HBM serves as a fast computation aid, HBF is focused on storing the vast amounts of data that AI processes at high capacity. HBF is drawing attention as the AI inference market grows. The AI market is broadly divided into learning (training) and inference. Training is the process of feeding massive amounts of data to teach an AI model. Inference is the stage in which results are derived based on the trained data. In inference AI, the ability to continuously store and retrieve vast amounts of intermediate data — such as prior conversations, judgment outcomes, and task context — is crucial. This is because AI carries out reasoning by remembering context and building upon it. The problem is that all of this data is difficult to fit into HBM. Since HBM is optimized for handling data used immediately, its capacity itself is inherently limited. Moreover, given its high price, processing the enormous amounts of context data generated during inference using HBM alone would impose significant cost burdens. As a result, an environment has formed in which both HBM and HBF are needed simultaneously — a kind of division of labor. Domestic experts in Korea also anticipate that the importance of HBF will grow going forward. At an HBF research and technology development strategy briefing held this past February, Kim Jung-ho, professor in the School of Electrical and Electronic Engineering at KAIST, stated, "If the central processing unit (CPU) was the core in the PC era and low-power technology was the core in the smartphone era, memory will be the core of the AI era," adding, "What determines speed is HBM, and what determines capacity is HBF." He further predicted, "From 2038 onward, demand for HBF will surpass that of HBM."
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Serenity
Serenity@aleabitoreddit·
Wow, names like $TOWA (6315) are super boring to watch… Especially since KR/TW markets are closed today. Only up ~11% so far. But like Hammond or Tower Semi… Towa seems like a pretty steady compounder up throughout the duration of new memory cycles. Bc it receives unavoidable capex inflows from $MU, SK Hynix, and Samsung their monopoly status. At least Enplas has some volatility… (, they grew their AI test segment 225%+ operating profit y/y) Then "Mass production of lenses for 1.6T optical transceivers has launched." Pretty sure they’re sandbagging + have legacy drag confusing algorithms regarding AI segment acceleration. Good time to take a break from watching markets I guess.
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Serenity@aleabitoreddit

So just putting it out there: Towa (6315), at $1.35B... Is a rare, living definition of monopoly over HBM4 (compression molding). It's been kinda flat YTD, but every memory company like $MU, Sk Hynix, Samsung are their customers. And each of the memory company earnings signaled massive capex increases. Even as seen with $TSM earnings, every major semi is going through a massive capex cycle to meet AI demand. And all three memory makers have printed from hbm3e and nand... so the next capex cycle is probably not like the last (meaning a lot more spend). Like $ASML, this is hyper-cyclical but I wanted exposure to the upcoming HBM4 capex ramp over these next few months. Thought I'd put this name on people's radar alongside $LPK (glass core substrates) as a functional monopoly. But I do feel like this timing is about right while every machine supplier is having a massive re-rating yet this was relatively flat. Not exactly a new find, since a few other analysts + random followers had this name but hope I get the timing right. (Disclaimer: I do hold positions, this just TLDR of my own thoughts, please don’t copy trade)

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Anders Storm
Anders Storm@StormDirac·
For all our none Swedish people, not use to Stockholm Nasdaq. Opening hours: today Thursday half day and tomorrow Friday closed. Happy long weekend everyone.
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Knight
Knight@IkaKnight_·
@aleabitoreddit Great buying opportunity amidst some short term profit taking.
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Serenity
Serenity@aleabitoreddit·
$LPK / $LPKFF earnings are out. Seeing a lot of very dumb commentary on X. If you're wondering how to analyze qualification-cycle players, it's the same as $AEHR. Nobody cares about current earnings unless there's something extremely bad. If your revenue declines -8M euros before any volume ramp, it doesn't mean anything. The only reason why LPKF is a long anyway is 2027 LIDE glass core substrate mass production. Main thing to look at is earnings call in 2 hours not current financials and indication of high volume production + customers. People made this same mistake with $AEHR selling off on previous financials instead of listening to the call.
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Knight
Knight@IkaKnight_·
@aleabitoreddit You are doing some insane work! Really appreciate you
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Serenity@aleabitoreddit·
Just a PSA: (I normally try to stay on topic) But I get like 50-100 new message requests a day... I try my best to respond to all your direct messages, but it's really hard to keep up. So sending follow ups does push it to the top if there's something urgent or I missed a reply. I do try and read all the comments though (esp. since I need to remove a lot of the fake account replies nowadays)
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Serenity
Serenity@aleabitoreddit·
Fun fact, $SIVE just crossed the $1B MC threshold. So a select few US institutions are able to buy it now (fund mandates) However, the vast vast majority still can’t until they get listed on NASDAQ. Just an FYI: $1B valuations are spare change for institutional investors in US hyperscaler supply chains if they end up powering $JBL, $AMD, $AAPL, $AMZN, $MSFT and others. Just look at $LWLG, $1.9B MC off 1 testing agreement with $TSEM.
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Serenity@aleabitoreddit·
I'm happy Japanese communities started positions in $SIVE after doing research! A stronger international shareholder base is always positive. As for some thoughts, my read on the market looks like: 1. $NVDA bought out allocation from $LITE / $COHR 2. $AMD CPO went with $GFS + $SIVE / Win for remaining laser supply maybe $LITE if there’s still allocation. 3. And… $MRVL CPO will need lasers regardless. $SIVE looks like one of the last remaining pure play merchant laser suppliers. So Marvell will go with $SIVE (fits Celestial specs already) directly with multi-source down the road (maybe $MTSI). After they vertically integrate away interposer packaging process IP that feeds into Celestial. Just some interesting things to back that up: -> Ayar removed $MTSI and $LITE from their website and went with $SIVE as primary. Ayar’s connected to AlChip/GUC and others. -> If look at the $GFS slide there's only two public players with $SIVE and $LITE after $AMD went with Globalfoundries for their CPO program. -> $SIVE likely has agreements with Win since last year for laser capacity scaling. $NVDA likely hasn't fully allocated that laser supply, so the remaining companies like $JBL, $AMD, and others go to Sivers for overflow. Since $LITE signaled they were already fully allocated for 2028. I could be wrong, but just based on public information that’s what it looks like. As for why I think it's a good long: -> Sivers also basically had no exposure to 800G or previous generations. -> European markets price in previous 12 months revenue... hence previous depressed valuations -> they get all the hyperscaler overflow created by market panic from $NVDA But they also happen to be in the bleeding edge of CPO and even for gen-2 1.6T ( $JBL LRO) scaling next year in 2027. Then for H2 2027 or 2028, they scale in adjacent areas like Silicon Photonics for likely $AAPL consumer devices. Or FMCW 4D AI companies like $AEVA. Many many years of development, finally coming to fruition next year. I personally think markets are missing something big here, that the public uncovers over time with mapping hyperscaler relationships, website digging, or presentation slides. Hyperscalers suppliers don't randomly choose a $1B Swedish laser company for no reason. The direct contract with $JBL was the biggest signal of that. And it’s my high conviction long moving forward.
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みみりん@投資系女子@beauty_oe

インタラクティブブローカーズで、 $SIVE 遂に買えたァァ‼️😭 10日くらいかかった😂😂✨ さすがに調整あるだろうから、半額買って調整待つーっ‼️

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Knight
Knight@IkaKnight_·
夜桜きれいすぎ🌸
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Umamusume: Pretty Derby
Umamusume: Pretty Derby@umamusume_eng·
Anyhoo, let's do it. Giveaway time! Just follow this account and repost this post for a chance to win a Cleatprint Plaque or 5,640 carats! 🥕 Details: umamusume.com/news/200010/ (It'd be a drag to list all the deets here, so just go read 'em on the site.) #GolshiWeek #Umamusume
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Knight
Knight@IkaKnight_·
@jukan05 He is the next SK Hynix
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Jukan
Jukan@jukan05·
These days, I think surviving as a content creator has become incredibly tough. Dude, you’re now competing for views against people who manufacture DRAM in their own houses. youtu.be/h6GWikWlAQA?si…
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Serenity
Serenity@aleabitoreddit·
Appreciate the X revenue sharing program! I actually end up passing it along to local charities I like, but don't normally share. I'm especially a big fan of local pet shelters, since my dog passed away last year and I'm still not completely over it. And addressing homelessness too, since I did make a lot of homeless friends back at UC Berkeley. At a certain point, you don't need more money. But it does help maximize the positive impact you can have, which is why I'm still on X (and not retiring, which I can do). It just feels fulfilling to live an honest life, be true to yourself, and see how much of a positive change you can make in this world before you go? My goal on X has always been how to help the retail investor the most... compared to traditional models of selling every single piece of alpha to institutions first. Actions speak louder than words, hence why subscriptions are $1 and I publish all my ideas/thought process for free to everyone here (even though I could charge $50). So people can do what I do themselves when I leave one day! In terms of next steps, I thought it would be fun if retail had the exact same edge as Citadel and the other hedge funds? So I was planning on releasing custom LLMs for free (I was a research scientist in the past you know) and using the extra subscription revenue to subsidize compute/data costs. Think it will be fun!
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Knight
Knight@IkaKnight_·
@aleabitoreddit Guess I'll thank the Swedes for the beautiful dip for me to add
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Serenity
Serenity@aleabitoreddit·
I'm amused by Swedish culture at this point. That their retail/journalists are crying every day when someone posts a supply chain mapping of $SIVE lasers to: -> $MRVL CPO -> $AMD CPO -> $JBL 1.6T LRO -> $NVDA -> $AMZN, $META, $GOOGL, $MSFT -> Tencent, Baidu, Alibaba for ELS. Then they go crying even further... When someone shows $AAPL is secret hyperscaler customer of Sivers lasers for their next-gen Apple Watch development (which requires 50,000,000 units annually). Does supplying to hyperscalers... Hurt locals's feelings that much to the point they try and self-destruct? It's hilarious that a "Swedish professional" went out and said CPO is nothing new and nothing special, so Sivers is nothing special. Meanwhile $NVDA is just funding every CPO program $2B from $MRVL to $LITE to $COHR left and right. Cool thing about X is you learn something new every day interacting with global audiences.
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Serenity@aleabitoreddit

The secret is that $AAPL 🍎 is using $SIVE InP laser arrays for mass production of consumer hardware (high confidence). Launch date around late H2 2027 from estimates and the graph provided. Imagine Apple mass producing consumer hardware with 50M+/units a year… Off a $850m MC laser supplier lol. Then with whatever Apple does, you’ll get $GOOGL, Samsung, and the others following along next.

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Knight
Knight@IkaKnight_·
@jukan05 High-NA EUV works now?
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Jukan
Jukan@jukan05·
Nittobo fell today after a China-sourced rumor of unclear origin spread, claiming that the Japanese earthquake would force glass fiber maker Nitto Boseki to suspend production for 20–25 days.
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Knight
Knight@IkaKnight_·
@LawrenceWongST Can make into public holiday? I’m sure the whole of Singapore would enjoy reading!
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Lawrence Wong
Lawrence Wong@LawrenceWongST·
On this World Book Day, I encourage everyone to keep reading, learning, and discovering something new!
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