hbm

🚨 STOCKS | Memory Chip Boom in South Korea!
Citrini analyst Jukan reports massive surge in early June exports (1-20 June):
DRAM (modules): +342% YoY
NAND Flash: +336% YoY
HBM (MCP): +209% YoY
SSD: +405% YoY
Key beneficiaries:
$SSNLF (Samsung) | $HXS / $000660.KS (SK Hynix) | $MU (Micron)
Memory demand exploding 🔥📈
Suggested coins/tickers to add (best ones):
Samsung Electronics → $SSNLF (US OTC) or 005930.KS
SK Hynix → $HXS (US) or 000660.KS (Korea)
Micron → $MU (strong US play, also benefits heavily from HBM/DRAM)
Optional extras:
$AMAT, $LRCX (equipment makers)
$NVDA (indirect, big HBM buyer)
#Stocks #Semiconductors #HBM

Hynix had a massive bull run on Monday, pushing its market cap to $1.35 trillion, officially toppling $BTC (around $1.29 trillion) and sneaking into the 16th spot globally, while BTC dropped to 18th. On the same day, it briefly surpassed Samsung to become Korea's market cap king since 2000, boasting a 345% increase this year.

Everyone's chanting "AI hardware narrative wins over crypto narrative." But the most ironic detail is: Hynix's parent company SK Square invested about 90 billion won in 2021 for a 35% stake in Korbit, betting on crypto, and that investment has basically tanked. Within the same group, the hardware bet is sitting pretty at 16th in the world, while the crypto wager is sitting on the impairment list. SK itself has already written the answer—yet what the market is cheering for might be the wrong part.

The truly bizarre part is: the market is paying a premium for a scarcity with an expiration date, while it hasn't even secured eternal scarcity. The pricing power of HBM comes from a 2-3 year expansion cycle; once Samsung and Micron ramp up production, those juicy profits will textbook-level return. Bitcoin's capped supply of 21 million is forever. Yet today's market prefers to fork over cash for scarcity that will expire.

The downfall of altcoins isn't due to other stories being sexier; rather, the market suddenly just wants numbers. Cyclical stocks often look the most like growth stocks at their peak—those who are paying Hynix 345% YTD today, what will they hold three years from now? #SK海力士市值超越比特币 #HBM #crypto

Micron and Anthropic have struck a deal for HBM supply and strategic investment, causing MU stocks to surge 6.8% intraday, hitting a new record. The focus isn’t just on ‘selling memory’, but on AI model companies locking in high-bandwidth memory capacity ahead of time; HBM remains a scarce element in the computing power chain.

For the crypto market, keep an eye on two lines: first, whether the AI + computing narrative continues to spill over; second, how tokenized US stock products like Ondo might be affected by the volatility of related assets. However, with short-term gains already high, chasing news requires a close look at valuation and the pace of realization.

#AI #HBM #tokenized-assets

Micron and Anthropic have struck an HBM supply and strategic investment deal, sending MU's price up 6.8%, pushing its market cap past $1.36 trillion and hitting an all-time high. This signal is crystal clear: the AI computing power race is extending from GPUs to high-bandwidth memory, and the bargaining power in the HBM supply chain is on the rise.

For the crypto market, two lines are worth watching: first, whether the AI infrastructure narrative continues to spill over into on-chain assets; second, whether the trading volume of tokenized stocks heats up alongside tech stocks hitting new highs. Short-term sentiment is strong, but chasing the pump at these highs still requires position control.

#AI #HBM #tokenized_stocks

SK Hynix's market cap surged to $1.35 trillion, surpassing Bitcoin's $1.29 trillion. Now ranked 14th globally.

A storage chip company that nearly went bankrupt has now hit a market valuation exceeding a trillion-dollar digital asset, thanks to HBM high-bandwidth memory—the core component of AI servers.

There's a strange humor in this: AI's computing infrastructure is outpacing 'digital gold' in the capital markets. The profit margins on HBM are way higher than Bitcoin mining, and the demand is way more certain; Nvidia's orders are booked all the way into next year.

But looking at it from another angle: Bitcoin's $1.29 trillion market cap has no CEO, no earnings reports, and no physical factories, yet it ranks 19th among global assets. This is a kind of counterintuitive resilience.

#SK海力士市值超越比特币 #BTC #HBM

🔥Historic moment! SK Hynix's market cap hits $1.35 trillion, officially surpassing Bitcoin's total market cap of $1.29 trillion. Holding 60% of the global HBM market share, its stock price has skyrocketed over 340% this year, claiming the top spot in South Korea's market cap. The AI computing hardware is undergoing a capital revaluation. The scarcity of physical computing power outshines digital assets, and the storage supercycle bull market is far from over!
$SKHYNIX
$BTC
#SKHX #HBM #比特币 #AI半导体

🔥AI Industry Hot Take!

Perplexity CEO: Micron $MU is expected to surpass a market cap of $META in 6-12 months.

Perplexity founder and CEO Aravind Srinivas made a bold prediction: the biggest bottleneck in AI's current development isn't the large models, but rather HBM high-end memory storage.

As one of the top three core HBM manufacturers globally, Micron's production capacity has long been in short supply, holding scarce resources in the industry and possessing strong pricing power.

With the global AI computing power continuously expanding, the gap between storage supply and demand will keep widening, leading to sustained profitability for companies, with plenty of room for valuation upside.

Compared to Meta's competition in the AI application space, the scarcity in the upstream hardware bottleneck will lead to a new wave of value reassessment for Micron.

Do you agree that storage is the core bottleneck in AI and that Micron's market cap will surpass Meta's?

If you're bullish, hit 1; if you're skeptical, hit 2👇

#美光 #AI存储 #HBM #USStockMarketReview

1. Background

The latest preliminary export data from South Korea for the past 20 days shows that the storage supply chain is continuing to strengthen: DRAM modules surged 342% year-on-year, NAND increased by 336%, MCP/HBM grew by 209%, and SSD skyrocketed by 405%, with most categories also showing positive month-on-month growth. The significance of this data lies not just in the "high growth rates," but in the fact that the growth spans multiple segments including memory, flash storage, advanced packaging, and end-user storage, indicating that this recovery is not a single pulse but a multi-category resonance throughout the supply chain. For the market, South Korean export data is often viewed as a high-frequency observation window for global semiconductor demand, and this latest data reinforces the bullish sentiment around the ongoing upcycle in storage. 📈

2. Core Analysis

Structurally, the performance of DRAM and HBM is the most noteworthy. The growth in DRAM reflects the ongoing replenishment for traditional servers, PCs, and some consumer electronics, while the high increase in MCP/HBM directly corresponds to expanding demand for AI servers. Currently, market focus on HBM is intensifying, as it not only determines the performance of high-end AI computing platforms but also directly impacts expectations for orders in upstream wafer manufacturing, advanced packaging, and equipment materials.

The synchronous high growth in NAND and SSD indicates that the recovery in demand is gradually shifting from "chip price recovery" to "improvement in module and end-user shipments." Particularly, the significant month-on-month increase in SSD suggests that enterprise storage and some consumer-level applications are releasing pent-up demand. If this trend continues, storage manufacturers' inventory, prices, and profit margins are likely to keep improving.

However, it's important to maintain a realistic perspective on the high year-on-year data. On one hand, the low base from the same period last year can amplify the growth rate; on the other hand, while the month-on-month data is positive, the pace across different categories still shows divergence, indicating that the industry recovery is not entirely synchronized. Moving forward, the market will be more focused on whether this growth can consistently translate into a steady rise in ASP and profit realization. ⚠️

3. Market Impact

For the secondary market, this data is favorable for storage chips, HBM, SSD controllers, advanced packaging, and related equipment material sectors, especially for assets closely tied to AI infrastructure, which tend to receive valuation premiums more easily. For crypto market participants, although the news itself pertains to the semiconductor sector, its spillover effects are worth noting: the increasing investment in AI computing often strengthens market risk appetite for the "AI + tech growth" narrative, thereby indirectly boosting the heat around related concept assets.

Overall, the latest export data signals that "demand expansion is still ongoing." If subsequent prices, shipments, and orders show synchronized improvement, the bullish logic for the storage sector is likely to persist; if month-on-month momentum wanes, the market's trading focus may shift towards performance realization and valuation digestion. In the short term, the sentiment appears bullish, but in the medium term, we still need to keep an eye on the real strength of demand and supply discipline.

#AI #半导体 #HBM

SK Hynix Stock Hits All-Time High: HBM4E Samples Officially Shipped

SK Hynix has announced the delivery of 12-layer stacked HBM4E samples to major clients, with each pin speed reaching 16Gbps, power efficiency improved by over 20%, and thermal resistance reduced by 17%. Following this news, the stock surged 7.3% intraday to an all-time high.

From HBM3 to HBM4E, SK Hynix continues to lead the AI memory race, with advanced MR-MUF packaging technology ensuring structural stability under multi-layer stacking.

Why it Matters: HBM4E is a key component for next-gen AI training and inference, and the production pace of SK Hynix directly influences the actual delivery capability and performance cap of AI chips like those from NVIDIA.

#SK海力士 #HBM #AI #semiconductors

SK Hynix skyrocketed 4.4% to hit an all-time high! 12-layer HBM4E samples shipped early, accelerating the AI hardware race 🔥

Today, storage chip giant SK Hynix's stock price reached an all-time high with a 4.4% gain, primarily driven by the early delivery of its 12-layer stacked HBM4E samples to clients. This indicates that the pace of technological iteration for high bandwidth memory, a core component of AI computing power, has exceeded market expectations.

HBM is a critical bottleneck for AI training and inference, with each generation upgrade directly impacting the training costs and efficiency of large models. For the crypto space, this could lead to two significant impacts:
1. The infrastructure costs for AI-related crypto projects are likely to decrease
2. The competitiveness of decentralized AI computing networks faces new challenges

Unexpected advancements on the hardware side often signal the onset of major industry transformations.

#AI #HBM #Web3

SK Hynix's stock price skyrocketed by 4.4% today, hitting an all-time high! The core catalyst is the early delivery of the 12-layer HBM4E samples.

HBM acts as the "veins" for AI chips, and each tech breakthrough directly impacts the power ceiling. This 12-layer stacking has accelerated beyond the original plan, which means the rollout of the next-gen AI computing infrastructure could happen faster than the market expects.

For the crypto space, this isn't just hardware news—decentralized AI networks, rendering projects, and zero-knowledge proof computations are all waiting for a more robust computing base. Unexpected advancements on the hardware side often reflect early on in application-layer innovations.

#AI算力 #HBM

SK Hynix skyrocketed 4.4%, hitting an all-time high! The early shipment of 12-layer HBM4E samples once again confirms the explosive growth in AI hardware demand.

HBM is the "heart" of AI large models, and every technological breakthrough provides solid foundational support for the AI narrative. As traditional tech giants continuously exceed expectations on the hardware front, the AI sector in the crypto market is also waiting for the next catalyst.

Hardware leads, applications follow. The long-term logic of the AI race remains clear; patience is key as we await market sentiment to resonate.

#AI #HBM #Crypto

SK Hynix just closed up 4.4%, hitting a new all-time high! The market buzz is mainly driven by an unexpected news drop: the 12-layer stacked HBM4E samples have shipped ahead of schedule. As the core storage bottleneck for AI model training, the iteration speed of HBM tech continues to exceed industry expectations. This is not only going to boost demand across the upstream supply chain but could also substantially accelerate the rollout of AI applications. Right now, the global tech cycle is in an AI-led upswing phase, and whether it’s in the traditional semiconductor lane or the crypto sector with AI+Web3 innovations, we’re likely to see some structural opportunities. #AI技术 #HBM #storage chips

【Tech hardware news keeps getting better, AI narrative keeps gaining strength】

SK Hynix's stock surged 4.4% today, hitting an all-time high, primarily fueled by the early shipment of their 12-layer HBM4E samples. As a global leader in memory chips, this tech advancement further confirms the unexpected growth in the AI hardware sector.

From NVIDIA's GPUs to SK Hynix's HBM, traditional tech giants are continuously breaking ground in AI infrastructure, providing robust support for the entire AI industry chain. This AI wave has already extended into the crypto space, with the AI concept sector showing lively performance recently.

The pace of underlying tech iteration often exceeds market expectations. As hardware infrastructure matures, the applications of AI + Crypto may arrive faster than we think.

#AI #HBM #Web3

📈 **SK Hynix Surges 4.4% to New High, 12-Layer HBM4E Samples Shipped Early**

SK Hynix's stock skyrocketed by 4.4% today, hitting a new all-time high during trading. The catalyst was the company's announcement that 12-layer HBM4E samples were delivered early for customer validation, significantly ahead of market expectations.

What does this mean?

The AI arms race is extending from "compute power" to "storage." HBM (High Bandwidth Memory) is one of the core bottlenecks in training large models; whoever can mass-produce higher stacked layers of HBM will lock in major AI chip contracts.

Previously, SK Hynix gained the upper hand with HBM3/HBM3E, and now with HBM4E shipping ahead of schedule, it indicates that their technological pace is not slowing down but rather accelerating. This is also a strong boost for AI chip manufacturers like Nvidia—HBM supply is no longer the limiting factor for production capacity.

What’s worth keeping an eye on: How are Samsung and Micron progressing with HBM4E? This three-way race is far from over.

$NVDA

#HBM #AI

June 16｜If the crypto space only allowed buying BTC, then for AI, I'd only go for storage.

I know a lot of folks disagree.

But if I had to hold just one AI direction long-term,

I'd still choose storage.

The reason is simple.

I like certainty.

Many people investing in AI,

are mostly worried about bubbles.

Worried that models might get replaced.

Worried about shifts in tech direction.

Worried that today's leader could be out of the game tomorrow.

These worries aren't unfounded.

But storage has a unique angle.

AI models are getting larger.

User bases are growing.

The demand for inference is skyrocketing.

All of this will ultimately translate into a demand for storage.

TrendForce predicts that,

the share of HBM in DRAM capacity will rise from 18% in 2025 to about 30% in 2027.

Capital is betting real money on this trend.

GPUs will upgrade.

Models will iterate.

Companies will change.

But data won’t disappear.

The demand for storage will only increase.

It was true in the past internet era.

And it will be the same in the future AI era.

So if you have a high-risk appetite,

you can look into individual stocks.

Like Micron (MU) or SanDisk (SNDK).

If you're more conservative,

buying a storage ETF works too.

At least I haven't seen any AI era yet,

that wouldn't need storage.

That's why we recently focused on SanDisk.

Back then, the stock was around 1600.

Now it's over 2100.

We're not making money from predictions.

But from researching industry trends early on.

Many people are always looking for the next 10x stock.

But I prefer those long-term, high-probability opportunities.

Investment is often not about finding the most thrilling answer.

But about finding the most certain one.

If it’s the crypto space,

I'd pick Bitcoin.

If it’s AI,

I'd choose storage.

In the future, there will be many star companies in AI.

But if I had to pick the most certain direction,

I'd still go for storage.

If you had to choose the most certain direction in AI, would you pick storage, computing power,

or something else?

Buy the moat, ride the bull — buy the moat, hold the long bull.

#AI #BTC☀ #HBM #SNDK

June 16 | Micron Earnings Eve: The Market's Bet Isn't on AI, But on How Long HBM Will Remain Scarce

On June 24, Micron (MU) will release earnings,

potentially one of the most significant AI earnings reports this year.

Because what the market is debating now,

isn't whether AI will continue to evolve.

But rather:

What is the biggest bottleneck for AI?

In the past two years,

NVIDIA has been the biggest winner in the entire AI supply chain.

Whoever can grab more GPUs,

can train larger models.

But as more capital flows into AI,

the market has started to notice another thing:

GPUs can be bought,

but HBM might not be so easy to acquire.

Many people misunderstand HBM as just regular storage chips.

In reality,

it’s more like the fuel of the AI era.

Models are getting larger,

inference demands are increasing,

every upgrade

means a rise in HBM demand.

However, the growth in supply isn’t keeping pace.

Advanced packaging, yield rates, equipment, capacity,

every link in the chain is constraining the speed of expansion.

This is also why, over the past year,

storage has become one of the strongest sectors in the AI supply chain.

What the market is really focused on,

is not how much Micron made this quarter.

But whether HBM will continue to be in short supply in the coming years.

If the answer is yes,

then the logic of the storage industry may have already shifted.

In the past storage industry:

Price increases → Crazy expansion → Oversupply → Downcycle.

But the demand driven by AI,

might be breaking this cycle.

Because this time,

the speed of demand growth far exceeds that of supply.

So for this earnings report,

what I’m most focused on isn’t revenue.

Nor is it profit.

But how the management views the supply-demand relationship for 2027-2028.

This will determine not just next quarter.

But the entire AI infrastructure cycle.

Many people are searching for the next NVIDIA.

But I’m more interested in those toll booths that AI can't bypass.

Two years ago it was GPUs.

Last year it was optical modules.

This year, one of my key focuses

is still HBM storage.

The market isn't betting on AI.

The market is betting on how long HBM will remain scarce.

What do you think will have the best chance in the next AI market cycle,

compute power, storage, or advanced packaging?

Buy the moat, ride the bull — Buy the moat, hold for the long bull.

#BTC☀ #MU #HBM

📰 BlockBeats Daily 2026-06-17 | Total 7 Articles

1️⃣ Polymarket's 6th Anniversary: From starting up in a bathroom to a $20 billion valuation, chased out of the U.S. by the CFTC only to come back with a license, CEO Coplan joins the billionaire club.

2️⃣ Waller's FOMC Debut: No surprise in keeping interest rates unchanged on June 16-17; the market is keen to see if he downplays the dot plot and forward guidance trading weight, as volatility in U.S. Treasuries/gold/Bitcoin faces reevaluation.

3️⃣ Breakdown of A-shares Yi Zhongtian's Trillion Market Cap: New Yi Sheng has the lowest PEG, Zhongji Xuchuang listed on the 1260H list faces geopolitical risks, while Tianfu Communication's valuation bets heavily on the CPO structure.

4️⃣ Breakdown of Claude's $20 Subscription Cost: AI applications can't just apply SaaS high-margin assumptions; heavy users continuously burn through reasoning costs, with infrastructure chains needing to secure predictable revenue first.

5️⃣ Breakdown of BIT's U.S. Stock Platform Structure: Unlike mapping U.S. stocks, BIT supports genuine clearing through DTC/NSCC for dividends and transfers, addressing retail pain points in SpaceX IPO participation.

6️⃣ SOX Breaks 14,000 Points to Hit New Highs: AI reshapes the semiconductor smile curve, with profits in intermediate manufacturing processes like HBM/CoWoS/EUV catching up to design, widening the long-short divergence.

7️⃣ SK Hynix's Target Price at $3,500: Aletheia Capital significantly above the mainstream range of $2,000-$2,520, betting on continued HBM shortages through 2027 and amplifying the DRAM price curve.

$NVDA $BTC #Polymarket #美联储 #HBM #BlockBeats

$SKHYNIX is set to list its shares in the US starting August! The king of memory chips (especially the $HBM for NVDA's AI) could raise up to $14 billion.
It smells like a major boost: more visibility, more liquidity, and likely a spot in the Nasdaq indices. The AI era clearly needs them.
What do you think? Will $SKHYNIX skyrocket after this?
Let me know in the comments 👇
$ETH #IA #NVIDIA #HBM
(NFA – DYOR!)