DanielRomero

If $BE is worth almost $100B now, it really gets you thinking
What will the SMR leaders be worth in 10 years?
Could companies like $OKLO, $SMR, $RYCEY, and $BWXT be worth hundreds of billions at some point?
A single SMR will provide hundreds of MW of 24/7 power for decades, with very low fuel cost per MWh
Until fusion is solved, SMRs will absolutely mog fuel cells, especially for AI purposes
The TAM will be massive
Think about all the power demand AI could require in 10 years, and how convenient it would be for data center operators to place campuses in many more locations while mainly just wo

$HYLN is getting bid up as a new $BE-style trade
🚩 One red flag I found:
Their biggest validator is the VFG Holdings partnership for up to 250 KARNO Cores, or 50 MW, over five years, but that is a non-binding LOI
According to LinkedIn, VFG has a whopping 4 employees, 0 job posts, and was founded in 2025
VFG’s co-founder and CEO studied music in college and appears to have no direct experience in data centers or infrastructure
Yet the stock is suddenly getting bid up as investors search for the next $BE, while $FCEL is also shooting up, although with more reason
$HYLN’s history has been disast

Photonics stocks still have room to grow
Memory should do fine
Physical AI will be a major trend in 2027, but pick carefully
MLCCs exploding with Rubin tailwinds, Feynman will push the BOM even higher
CPUs bottlenecked, and we all know the biggest beneficiary
Glass substrates are coming strong and may be pioneered in Feynman

$AMD announced more than $10B in investments across Taiwan’s AI ecosystem.
The goal is to expand partnerships and scale advanced packaging manufacturing for next-generation AI infrastructure.
→ $AMD is working with ASE and SPIL on next-generation wafer-based 2.5D bridge interconnect technology, called EFB, Elevated Fanout Bridge.
→ $AMD also said it qualified the industry’s first 2.5D panel-based EFB interconnect with PTI.
→ The technology supports Venice, AMD’s 6th Gen EPYC CPU, and should improve interconnect bandwidth, power efficiency, and system economics.
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Full partner

$AMD’s EPYC Venice CPUs have entered volume production, becoming the first HPC CPU product to ramp on TSMC’s 2nm process
Key points:
→ Venice is AMD’s 6th Gen EPYC CPU, based on Zen 6
→ It is expected to offer over 70% better performance and efficiency than the previous generation
→ Thread density should improve by over 30%
→ The top configuration could reach 256 cores and 512 threads, compared with Turin’s 192-core maximum
→ $AMD also plans to ramp Venice at TSMC Arizona, improving supply diversification
→ AMD’s broader roadmap includes Verano, an AI-focused CPU variant designed for agentic A

MLCCs are becoming a mainstream investment theme
The problem is that the main plays are already expensive:
- > Taiyo Yuden: 34x earnings
- > Murata: 42x earnings
The biggest opportunity is now in materials
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This is how the MLCC cycle will likely play out
➡️ MLCC makers, Murata, TDK, SEMCO, Yageo and Taiyo Yuden, raise prices for AI customers. These prices have already exploded.
➡️ 0 to 3 months: MLCC maker earnings benefit immediately from the price increase.
➡️ 6 to 12 months: MLCC makers renegotiate input costs with materials suppliers. These suppliers are still cheap.
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$NVDA Jensen Huang made an interesting comment
He mentioned that "there's a whole list of others that are bringing compute online for Anthropic"
If we assume there are at least two more, and that they are using $NVDA hardware, then xAI is one
Who else, if not $IREN or $NBIS?

$AMD has started sampling MI450 GPUs to lead customers, and Helios rack production shipments remain on track for H2 2026
According to Lisa Su, demand for MI450 is now above AMD’s initial 2027 plans, with more customers engaging in large-scale deployments, including additional multi-gigawatt opportunities

$NBIS increased GPU rental prices across the board starting in June
Blended price increase: +34%
The biggest increase was in H100 preemptible pricing, up 72%

Samsung saves the day
It was too much winning for $MU

The difference in price between ChatGPT and Claude is absurd
ChatGPT lets you get virtually all the tokens you want with the standard subscription, while for the same work in Claude, you need to spend thousands
I wonder why the difference is so big
Pricing power?
Not enough compute, so they would rather squeeze users?
Anyhow, it makes all the sense in the world that the average consumer would rather pick ChatGPT, which helps explain why it is so much more popular

$NVDA Jonathan Ross says that memory is the biggest AI bottleneck right now, but bottlenecks are not permanent.
“Every time a bottleneck gets big enough, people solve it.”
His warning is that memory can remain extremely valuable while it is constrained, but if it becomes too expensive or too scarce, it becomes the problem engineers are forced to attack.
If memory becomes too much of a bottleneck, the industry will start finding ways to reduce its dependence on it.
He said memory was “the most commoditized segment of the semiconductor supply chain,” but now it is one of the most important const

Groq’s Jonathan Ross has had an insane glow-up

Remember when some people said data center companies were glorified REITs?
I do.

Morgan Stanley Greater China Semiconductors Research published a new report on May 8, 2026.
-> $NVDA racks and servers are still the biggest capex driver, representing around 58–63% of total 1GW data center cost, excluding HBM and CPU.
-> For custom ASICs, racks and servers are much lower, around 39% of total cost. That is the clearest reason why hyperscalers keep pushing internal silicon.
-> Morgan Stanley estimates that a 1GW NVIDIA GPU data center costs:
Vera Rubin: ~$41B
GB300: ~$33B
B200: ~$24B
H100: ~$23B
Compared to custom ASICs:
TPUv7: ~$27B
Trainium3: ~$15B
-> Current-gen

Leopold lost his aura
That’s my honest opinion
Got Iran-pilled and loaded up on semi puts before one of the biggest rallies in history
Exited his huge $INTC call position at $44 before the $100+ rally
- > Sold $HUT before it went up 105%
- > Sold $COHR before it went up 52%
- > Sold $CIFR before it went up 49%
- > Sold $TSEM before it went up 41%
- > Sold $LITE before it went up 35%
- > Trimmed 40% of $BE before it went up 90%
- > Trimmed $CORZ before it went up 59%
- > Trimmed $SEI before it went up 40%
Exited calls and missed a ton of upside
Portfolio getting lower quality, in my opi