Ryan

Investor

[Babyfolio @babyfolio]

Any $CRWV bulls left to defend the thesis?

I've been bearish since 2025, and it's not just dilution (it plays a part).

- CEO sells stock almost every week. Pre-planned or not, I hate it.

- $640M in net interest expense last quarter vs $2.58B revenue. That's 25% of REVENUE going to interest. Crazy number.

- $165M in SBC, 142% of operating income before SBC.

Add the leverage on top and I just don't see why anyone would invest in it?

Now, I don't think $CRWV stock will go to $0, but I don't see a reason to invest in them when the alternative ($NBIS) is so much better.

Yes, it's a neocloud, but it doesn't mean it'll catch up to $NBIS. It never will, they are not the same, will never be.

[M. V. Cunha @mvcinvesting]

🚨 $NBIS just announced ~20% price increases for on-demand H100, H200, B200 and B300 GPUs, effective October 1.

This comes just four months after the company raised prices by ~30%.

Demand remains insatiable.

[Babyfolio @babyfolio]

Days like this are dips to buy.
Always emphasized how the US won't let any slowdown happen.

I'll continue holding and adding on dips.
Conviction should be higher as the prices goes lower and not the other way.

[Ryan @juicemcgooser]

@Sandeman52 Well said

[Burak Finance @burak_finance]

$NBIS Customer List is Getting Ridiculous.

• $MSFT $19.4B of dedicated GPUs
• $META Up to $27B
• $PLTR Preferred sovereign AI partner.
• $NVDA $2B in plus early silicon
• Cursor(owned by $SPCX)

[Ryan @juicemcgooser]

@MB_Hogan Really think Google and Elon collabs are inevitable

[M. V. Cunha @mvcinvesting]

$NBIS CEO Arkady Volozh and CRO Marc Boroditsky just spoke at Goldman Sachs’ Technology Conference.

Here are the main takeaways:

1) Demand keeps accelerating

Nebius made it clear that AI infrastructure demand is still materially ahead of supply, and importantly, that visibility is extending further out.

A few months ago, management was talking about roughly 18 months of strong demand visibility. Now Arkady says that has stretched to 24 months or potentially longer, with customers already asking for capacity in Q1 and Q2 2028.

He also said customers are currently requesting tens of thousands of Vera Rubin GPUs.

Marc reinforced the point by saying demand isn't merely above supply, it's actually growing faster than supply.

2) Nebius x Palantir explanation

The underlying thesis is centered around enterprise data.

Arkady’s view is that companies will increasingly want to run open-weight models on their own proprietary data, repeatedly improve those models inside their own domain, and retain control over the resulting data and intelligence rather than continuously feeding it back into external commercial models.

Palantir already has the enterprise software layer and the tooling required to orchestrate those workflows. What it needed was the infrastructure underneath it. That's where Nebius comes in.

“We provide the whole stack up to our Token Factory. They take it, add their tools on top of it, and their customer base. For us, it is an excellent channel to enterprises.”

This potentially gives Nebius access to an enterprise customer base that would have taken considerably longer to penetrate organically.

3) Enterprise demand appears to be inflecting

The Palantir deal is part of a broader trend. Marc said Nebius has seen a “significant uptick” in its pipeline with platform companies that themselves serve enterprise customers.

Some of these companies are looking at Nebius as their first non-hyperscaler supplier. They're not only looking for training capacity, but a partner that can support training, post-training and inference across the full AI lifecycle.

The customer progression is becoming increasingly clear: AI natives → larger AI natives → digital natives → enterprise platforms → enterprises themselves.

Management still believes enterprise will represent the majority of the market opportunity.

4) xAI and Meta selling excess capacity

Goldman asked what happens if companies like xAI and Meta build huge amounts of infrastructure for themselves and eventually start selling unused capacity into the market.

Arkady’s answer was that this is mostly bare metal capacity, not a full AI cloud. Someone still needs to take that infrastructure, add the cloud and software layers, and distribute it to end customers. Nebius could potentially be one of those companies.

“If they could put more capacity on the market, it’s good for the industry, it’s good for us. We could take it and repackage and resell it to the end users.”

5) The four landmark customers are already moving toward the next clusters

The four large customer wins announced last quarter were not one-off capacity deals. Marc said these customers already have additional requirements and are discussing their next deployments with Nebius.

In some cases they're asking for more GB200 capacity, while all four are already discussing Vera Rubin platform requirements. Nebius also has other similar large opportunities in the pipeline.

Importantly, Marc reiterated that these wins weren't driven by price, but by the reliability and performance Nebius demonstrated during the POCs.

6) Older GPUs are holding up for a reason

This is exactly what I’ve been emphasizing for a long time.

Marc explained that older GPUs aren't simply staying busy because customers cannot get newer chips. Many workloads, including RAG infrastructure, text prediction and image generation, are simply better matched economically to older hardware, where customers already understand the TCO, reliability and performance profile.

“We actually have a list of new customers that are looking for any of the older generation chips that come available.”

That's precisely the dynamic I've been arguing for: the highest-end GPUs should increasingly migrate toward the most compute-intensive workloads, while older generations remain economically relevant for workloads where their performance is already more than sufficient.

7) The asset-light model is progressing

The asset-light strategy is designed to attack what Arkady sees as Nebius’ two main constraints: how fast it can physically build capacity and how much of that build it can finance itself.

The partners Nebius is talking to are typically electricity or data center companies that already have land, power and, in many cases, access to cheap financing, but lack the expertise to move higher up the AI infrastructure stack. Nebius can bring the data center know-how, racks, software stack and the customer demand to monetize that infrastructure.

Management says it has a long list of companies interested in the model, with Arkady describing each line in their internal pipeline as a separate large project. Nebius is already working on several of them, with capacity expected to come online from 2027 onward.

[Mario Nawfal @MarioNawfal]

🇨🇳 Imagine using robots to build a humanoid robot... and the humanoid walks off the line.

This is what is happening in a new automated factory in Guangzhou, China, and machines do most of the assembly.

First IRON finished, stood up, and left under its own power, with no handler dragging it OR remote stick, AND they're showing a production line.

Mass production is slated by the end of 2026.

If this holds, humanoid robots stop being lab toys and start being inventory.

Writer: Val

[Nebius @nebiusai]

We are partnering with Palantir to bring trusted AI cloud infrastructure to Palantir’s commercial customers.

Palantir has named Nebius its preferred sovereign AI infrastructure partner.

Nebius compute and inference endpoints will run inside the Palantir enterprise perimeter – giving customers control over their compute, data, and models.

The partnership is based on a shared vision that open models, continually adapted using customers’ own data, can deliver better domain-specific intelligence while improving control and security.

Read the full press release: https://t.co/OxFxKSOrqr

[Ryan @juicemcgooser]

@CryptoBankz_65 TSLA has us beat … sell AV and put the money towards Decart

[Chris Camillo @ChrisCamillo]

my takeaway from 3 days of GPT6/Astra research: it’s simultaneously far more capable and efficient than expected, yet still far from good enough.

that combination should massively accelerate AI adoption, drive Jevons paradox, and expose how much work remains before these models are dependable across the full scope of real world use cases.

hard to imagine a more bullish outcome for AI infrastructure.

[Ryan @juicemcgooser]

@timoassi Sell both and buy $NBIS … you will thank me later

[SandemanStocks @Sandeman52]

大家好，我是 SandemanStocks（@Sandeman52）。
12年前我拿5万美元起步，靠高信念、看清格局、不听噪音，把它做成了1700万+。我不是来卖课的，也不收你们一分钱。我只想把我一路走过来的东西免费分享给你们：心态决定一切，信念比消息更重要，看懂自己手里拿的是什么，剩下的就是坚持和执行。
市场永远有人唱空、有人制造恐慌。别让他们拿走你的仓位。相信自己能赢，你才会赢。我们一起把这件事做成。
一起干。🫡

[Ryan @juicemcgooser]

@longinvest32 Some real clowns out here

[LeStonk James @LeStonkJames]

$NBIS $LULU

Nice call, bud! @michaeljburry

[Ryan @juicemcgooser]

@cyberprince_rwo CCP

[Ryan @juicemcgooser]

@longinvest32 So true … think of Buffett punch card

[Nebius @nebiusai]

Many of the world's most critical software systems can't send code or data outside the building.

Cosine builds sovereign AI coding agents that run air-gapped, for regulated industries, critical infrastructure, and complex legacy codebases. Powered by Nebius AI Cloud.

[Ryan @juicemcgooser]

@Fin85_ Back out goodwill

[Ryan @juicemcgooser]

@cyberprince_rwo Looks like about 3B net… so you are buying the ev / flying car segments for about 3B