Mark | AAIG

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Mark | AAIG

Mark | AAIG

@Mark_AAIG

AAIG Data Center infrastructure specialist. Project Manager with 15+ years in Datacenter design and builds.

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
Quality post right here, must read
Markos@MarkosAAIG

First of all, I get this feeling with this whole memory cycle that everybody is talking from their own expertise and viewpoint, and nobody is looking at the whole picture. One side is talking from a wafer perspective, saying we can get this online. Another side is only looking at demand, without taking into account the ramp-ups in HBM4E and HBM5 in terms of specifications. I think everybody is shouting from one end of the room to the other, but nobody is taking the time to put everyone together in the same room and look at the complete picture. That being said, the following: First, the denominator of @pequityresearch his post. His 4–5% gap is ALL DRAM bits. HBM is roughly a tenth of DRAM bits. So a 25% shortage in HBM is only 3% of total DRAM it fits INSIDE his number. Both are true at once: the commodity plane can drift toward balance while HBM stays hard-rationed. When someone says "DRAM will balance," first question: which DRAM? And "only 3% of bits" is exactly why it moves everything. HBM sells for at least five to ten times commodity DRAM per gigabyte a tenth of the bits already carries over a quarter of industry revenue, heading past half by decade-end, and most of the profit growth. Our revenue pool is exabytes times blended price; the conservative blend rises 15 to 23 $ per GB into 2028 on mix alone, before any like-for-like move. HBM and commodity DRAM are built on the same leading-edge wafers, and every HBM gigabyte eats 3–4x the wafer area. Leading-edge wafers migrating to AI memory HBM and now server LPDDR is what repriced conventional DRAM up 93–98% in one quarter. The 3% is the tail that prices the whole thing in this quoted post. In chart below you see the argument in one picture. Every 2030 forecast if it’s bull, bear, or base. @zephyr_z9 pointed it out with 37.5 EB full frontier shipped Hbm4e at 1TB, hbm5 at 1,5TB it al comes down to what share of the world's best wafers gets fed to HBM. A quarter carries our locked supply floor. Half carries our band top. The most aggressive build in circulation needs 86 percent @zephyr_z9 (almost no hbm4 shipping only 4e and 5) at which point no commodity recovery is left to model. The wafers are gone. You cannot have the balance story and the HBM story out of the same fabs. Pick your point on the slider; that IS your thesis. In addition, the input these models never state: HBM content per system in the very window they call balanced. Rubin carries 288GB per GPU. Rubin Ultra, shipping into that window, carries 576GB. The terabyte class I just explained comes after. Model 2028 systems at 2026 content and you understate HBM demand roughly 2x per system, more in wafers flattering both sides of the equation at once: too little HBM demand AND too many wafers left over for everything else. That's how a paper equilibrium gets built. No platform generation has ever carried less HBM than the one before it. Their balance assumes it. For now no evidence only increases in roadmaps. Third, the elasticity everyone is about to cite: AI token demand elasticity around 1.4 cut price 30%, volume grows 40%+. Some read that as the cushion under any price decline. But token elasticity is not DRAM elasticity: four layers sit between a memory bit and a token, and the pass-through is neither one-to-one nor stable. More fundamentally elastic demand under rationed supply doesn't cushion a price fall, it prevents it. If volume surges the moment price dips and the fabs already ship everything they can build, where does the extra volume come from? Elasticity in a shortage isn't some shock absorber it is the fuel why we are in a shortage in the first place. Fourth, the source. Senior employee. HBM CPO? Or osat? Or what does he do. You need to be at least fully strategy up to date and have the whole picture. I reffer back to my opening statement. the 1b-to-1c node point is real it closed much of the 2025 shortfall. But even on the most dense node at 95% yield I get shortage as outcome. 👇 $MU

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
Great explanation by @jiahanjimliu on the Kimi K3 scare $NBIS $IREN $CRWV
Jim Liu@jiahanjimliu

Neoclouds: The Kimi K3 Scare Kimi K3 caused a large scare in the AI trade as this Chinese open source model matched frontier models on benchmarks. Let me unpack what's actually going on. Chinese Labs have much less GPUs than American Labs and yet are able to train "just as good" of a model. This implies that Chinese Labs have huge efficiencies that allow them to use much less GPUs in training. This is would imply less HBM, less datacenters, less cloud bills - the whole capex heavy buildout that the AI trade is predicated upon. Now here's the big hole in all this logic. MoonshotAI, the Lab that made Kimi K3, is supposedly a magnitude more efficient in training than American Labs yet their inference compute consumption is the same or less efficient! Kimi K3 cost exactly the same as GPT 5.5 and slightly less than Claude 4.8 Opus High. Some people are misunderstanding what expensive tokens mean. Yes the cost of the open source weights/topology is 0 but the amount of the compute/GPUs that you need to run the model is a metric of a efficient your inference is. Compute/GPU time is very expensive and cost of open source inference is very not free. Now, it makes absolutely zero sense that MoonshotAI Kimi is so much more efficient in training but slightly less efficient in inference. Why? Training is a the forward pass plus backward pass and inference is the forward pass. This means that training efficiency improvements lead to inference efficiency improvements. You know why MoonshotAI training and inference efficiencies are asymmetric? Because their "training efficiencies" come from distilling American models. If MoonshotAI had true training efficiencies they would also show inference efficiencies but they have no advantage in inference efficiencies! AI Capex will still continue because: 1. If American Labs stop training capex, then Chinese models will also stop improving. AI progress will have stopped. American companies have never given up just because Chinese are trying to copy them. 2. Chinese model still consume alot of compute/GPUs for inference. Inference demand will outstrip training demand anyways.

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
@JonahLupton The stock is selling off more because they pushed out the 45-satellite deployment than because of the offering imo
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Jonah Lupton
Jonah Lupton@JonahLupton·
Definitely seems like $ASTS is overshooting to the downside today (down -18.5%) on an offering that might be less than 2% dilution (see below for details). I'm no expert on the company but I'm pretty sure the long-term thesis didn't change in the past 24 hours. Our position was less than 40 bps coming into today... we've started doing some small adds because the stock is now looking washed out (RSI at 31)... and pulling back to some very important technical levels ie fibs and vwaps. This is the lowest RSI has been since the 2024 lows. NFA. DYOR.
Jonah Lupton tweet media
The Chairman's Ledger@ChairmansLedger

To anyone who panicked over the $ASTS offering before reading the terms: - $1B raised at 1.625% - 20% initial conversion premium - Capped call takes effective conversion price to $149.20 (125% above the $66.31 close) - Estimated potential dilution of roughly 1.5% This is why you wait for the structure before reacting to the word “dilution.”

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
$VIVO announced another Mo i Rana update today: they're studying adding a battery (BESS) to the Norway site, targeting "up to $4M" of extra annual EBITDA from Nordic frequency-reserve markets (FCR-N, FCR-D, FFR) A few honest thoughts: First, the good part. This is real, and I actually like the logic. A battery unlocks reserve products that a pure data-center load can't provide, it makes the site more attractive to AI tenants (it smooths the spiky power draw that GPUs create), and it preserves the full 41.5MW for leasing. But would this be the best choice for a company with going-concern risk and no anchor lease yet? A quick look into the Nordic reserve market, and the "$4M" might be a glossy number. These prices peaked in the 2022 energy crisis and have fallen hard since, the Nordic FCR dropped 46% in 2023 alone, kept softening in 2024 when Statnett moved FCR-N to marginal pricing, and Norway now has the cheapest FCR-N in the Nordics. Why? reserve markets are tiny and saturate fast. Batteries pile in, and every new MW pushes clearing prices down. So $4M is a snapshot of a market that's already halved from its peak and priced at today's rates. My rough projection: by 2030 that's more likely <$3M (gentle decline), and in a bear case where the Nordics saturate harder it would be closer to $1.8M.
Mark | AAIG tweet media
VivoPower_PLC@Vivo_Power

VivoPower targets up to US$4M in incremental annualised EBITDA from potential BESS integration at its 41.5 MW Mo i Rana data centre. The system could unlock more grid services while preserving full AI compute capacity. #BESS #EnergyStorage #AIInfrastructure #DataCenters #Norway

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
B. Riley with the $10 PT on $NUAI 🎯 The AAIG Deep dive on powered land and $NUAI is dropping soon, including a name I haven't seen on X yet 👀
Wall St Engine@wallstengine

B. Riley Initiates Coverage on $NUAI with Buy Rating, PT $10 Analyst comments: "New Era Energy & Digital, Inc. is an AI infrastructure platform built around the Texas Critical Data Centers (TCDC) campus in Ector County, Texas, with vertically integrated front-of-meter and behind-the-meter generation. NUAI emerged in its current form following an August 2025 strategic pivot from New Era Helium Corp., a helium and natural gas producer. Our Buy rating reflects three primary drivers: (1) a Permian Basin land position with an embedded Macquarie covenant that ties credit facility availability to binding hyperscaler lease execution; (2) an atypical hyperscaler commercial origination supported by a partner stack including Apollo, Macquarie, Stream Data Centers, and Thunderhead Energy; and (3) a materially de-risked capital structure following the April 2026 ~$120 million equity raise, $290 million Macquarie term loan facility, and repayment of the $50 million SharonAI convertible. We see continued execution in the near term, primarily through an initial PPA at the TCDC site and a definitive JV agreement with Stream, on the path to an eventual hyperscaler lease later this year. We base our $10 PT on a sum-of-the-parts analysis of the TCDC phased buildout." Analyst: Nick Giles

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
@DaBullSammy911 No based on market research, vacancy rates are still dropping and are at market low in many countries. So demand still outpaces supply in most countries which only gets worse due to land and infrastructure that are slowing development
Mark | AAIG tweet media
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SammyG
SammyG@DaBullSammy911·
@Mark_AAIG Really? Based off the $wulf deal?
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Mark | AAIG
Mark | AAIG@Mark_AAIG·
$WULF just signed Anthropic: 401MW, $19B, 20 years. It’s interesting to see where the price per IT MW is heading compared to recent deals from $ALPD and $CIFR. But keep in mind that the $WULF lease escalates 2.5%/yr, so a 20yr term bakes in far more escalation than a 10yr one, driving up the $/IT MW We’re currently writing a full thesis on powered land such as $NUAI and a name that I haven’t seen on X yet. They have powered land including water rights on a huge portfolio. Dropping the thesis soon!
Mark | AAIG tweet media
TeraWulf@TeraWulfInc

Today, TeraWulf announced two strategic transactions that significantly advance our AI infrastructure strategy: 👉 A 20-year lease with @AnthropicAI at our Justified Data Campus 👉 The sale of our 50.1% ownership interest in the Abernathy Joint Venture to an investor group led by @fluidstack Together, these transactions create long-duration contracted revenue, recycle capital into wholly owned AI infrastructure, and further align our business around owning and operating the critical infrastructure that powers AI. Keep reading 👇

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
Speculative: On the SCE map, Kongsberg most likely appears as KSAT (ground stations) but since the relationship is clearly there, it could be easily expanded to other opportunities. Kongsberg is one of NATO's top air-defence/C-UAS primes. They co-produce NASAMS (the reference NATO air-defence system, used against drones and cruise missiles) and builds remote weapon stations and integrated C2. So you have a top counter-drone systems integrator that is also now an SCE partner. Could Kongsberg supply the sensors/effectors/C2 and AST/SCE supply the connectivity for the European/Nordic/Arctic flank? The same region where drone incursions are the live concern and terrestrial coverage is the worst. nato.int/en/news-and-ev…
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Mark | AAIG
Mark | AAIG@Mark_AAIG·
@DaBullSammy911 Saturated? The demand still outstrips supply and $ per IT MW is increasing.
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SammyG
SammyG@DaBullSammy911·
@Mark_AAIG Oh yea. Risky. The market is being saturated and competitive
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Mark | AAIG
Mark | AAIG@Mark_AAIG·
@DaBullSammy911 The whole thesis hinges on landing a deal for the TCDC site, every investor should be aware of that
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SammyG
SammyG@DaBullSammy911·
@Mark_AAIG If they can close out great deals like $wulf then it’s money!
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Mark | AAIG
Mark | AAIG@Mark_AAIG·
@DaBullSammy911 They had some great hires recently so it’s heading in the right direction
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SammyG
SammyG@DaBullSammy911·
@Mark_AAIG $NUAI needs competent management to execute deals. Or else they just have great potential portfolio, but poor execution.
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Mark | AAIG
Mark | AAIG@Mark_AAIG·
Yes, but there is still a ~$8M/year drag on VIVO's consolidated EBITDA until Tembo fully separates. Every quarter the F-4 stays under review is another $2M of unnecessary overhead on VIVO's P&L. The approval of the TEMB ticker is a step in the right direction so hopefully they can separate it quickly.
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Retail Ryan
Retail Ryan@FabrizoRomando·
@Mark_AAIG @baseddjuju Yeah pretty much, although I think these dividends that would’ve been paid out to us, will now just be part of the balance sheet of vivo
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Mark | AAIG
Mark | AAIG@Mark_AAIG·
Customers want to have 'NVIDIA approved' equipment, so that's why it's critical to have a reference design which tells a client that NVIDIA checked it and approved the product for use. Racks are mostly client procured equipment, but they have to comply with the specifications of the project. The cooling decision is driven by the targeted PUE and varies a lot per project, is there water available for adiabatic cooling or not? How is the climate? etc. But cooling is the largest driver of the PUE so the lower this number is, the more IT load you can deploy (and the more money you can make). The decision of the used method and product is mostly made by the DC itself together with the AE firm, or internal engineering team.
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Braden TeWinkel
Braden TeWinkel@braden_tewinkel·
My main question When you’re working to win designs in future racks, who are you actually selling to — the chipmakers like Nvidia and AMD, the OEMs and system integrators like Supermicro and Dell, or the end customers like CoreWeave, Nebius, Oracle, or Anthropic? Where do most of your conversations happen, and who ultimately makes the cooling decision?
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Mark | AAIG
Mark | AAIG@Mark_AAIG·
Interesting meeting between NVIDIA and @AccelsiusATX . Them moving into a potential reference design for future data centers is something what we anticipated, and that we watch closely too. Being promoted as a reference design is, of course, a very strong strategic position to be in. Anyway, we’re looking forward to our meeting with Accelsius management to ask this and many more questions directly. And by the way: there’s so much talk on liquid cooling and lifetime extension of that technology, and also on when we actually need to convert to two-phase. So this will be an interesting conversation for sure. Do you have any question to Accelsius management? Drop them in the comments below 👇 $INV $NVDA
Accelsius@AccelsiusATX

It was great to host the @nvidia team at our Austin headquarters as we all build towards a two-phase-enabled future.

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Mark | AAIG
Mark | AAIG@Mark_AAIG·
@matthew_sigel Where is the $6M/MW capex number coming from? This seems a very ambitious number for building in Norway. Even their investor deck states $8M - 12M of capex per MW?
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matthew sigel, recovering CFA
matthew sigel, recovering CFA@matthew_sigel·
$BTDR announces colocation lease agreement for 225MW Tydal site in Norway; terms to be detailed upon effectiveness, expected within 1 month. We guess phase 1 is 50 MW, worth $3.40/share (stock at $16). Entire 225MW could be worth $15/share @ $6M/MW capex
matthew sigel, recovering CFA tweet media
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