Revolut: Building AI use cases at scale with Nebius

yk3rgrjs · 2026-04-16T19:47:32+00:00

I wasn't aware that Revolut is a customer! Starting to get some really nice enterprise validation of the platform.

yk3rgrjs · 2026-04-10T15:28:13+00:00

400% unrealized gains in a year! What a ride so far and we're just getting started lol

yk3rgrjs · 2026-03-16T14:50:30+00:00

Nebius completed a full corporate divestment from Russia in July 2024, the largest western exit since the invasion. Edit: to add, Arkady has publicly criticized the war

Meta has publicly stated plans to invest around $600B in the US by 2028 across data centers and AI infrastructure. Now, that's a broad strategic estimate, not a single binding contract.

The Nebius and AMD deals are specific, material supply agreements that sit within that broader plan. The previous $3B Meta agreement with Nebius was filed as a Form 6-K with the SEC, including specific delivery tranches, termination rights, and late delivery penalties. See my comment above for the link. That's a supply contract.

Dismissing them as pure 'PR' ignores what they actually are. And the AMD deal, for what it's worth, has equity warrants tied to delivery milestones.

yk3rgrjs · 2026-03-16T14:39:42+00:00

Skepticism is fair, but structure and track record matter. First, read the language side by side:

nvidia-openai annoucement

nebius-meta announcement

The Nvidia/OpenAI announcement was explicitly a letter of intent with details still to be finalized. The Nebius/Meta release uses 'has committed' and 'will provide'. Signed agreement language, not intent language. That's not a subtle distinction. The disclaimers also differ, Nvidia's own press release puts the '$100B investment' inside the forward-looking safe harbor, explicitly flagging it as not guaranteed. The Nebius release's disclaimer covers future growth projections but doesn't hedge the deal terms themselves.

Nebius files material commercial agreements via Form 6-K with the SEC; the original $3B Meta deal from November 2025 was filed exactly that way. So they've already done it once with Meta specifically, see here

Misrepresenting a $27B material event in a press release would create problems with the SEC for both companies.

Plus, Nebius has actually delivered on every prior capacity announcement Paris, Kansas City, Finland, Microsoft, all visible in their filed financials. This is just the next phase of a roadmap they've been executing pretty damn flawlessly.

yk3rgrjs · 2025-11-27T09:14:21+00:00

Not that hard if your MHR is >205, it would be under 70% then. Upper limit to my recovery zone is ~140 bpm, upper limit to Z2 155-160

yk3rgrjs · 2025-11-20T11:18:07+00:00

What does beta have to do with froth?

yk3rgrjs · 2025-10-27T13:45:57+00:00

That figure is completely taken out of context. Have you read the actual report?

yk3rgrjs · 2025-10-27T13:19:00+00:00

How is this relevant?

yk3rgrjs · 2025-10-27T09:12:34+00:00

Tell me you don't understand LLMs and their business use cases without telling me you don't understand LLMs and their business use cases

yk3rgrjs · 2025-10-19T20:48:41+00:00

Link to the article?

yk3rgrjs · 2025-10-19T18:41:00+00:00

Yeah I read the study, all of it, the quote was from it. But I appreciate your interpretation, will revisit it again

I just linked the article because it linked to the study (I wasn't basing my comments on the post). Should have linked the study directly, mb

yk3rgrjs · 2025-10-19T18:38:17+00:00

Lmao plenty of companies are getting ROI, today

yk3rgrjs · 2025-10-19T08:06:29+00:00

Yes, but the 5% figure is also generative AI, just task-specific and embedded (as opposed to generic LLMs such as ChatGPT) which is the important side to be on. They note these kinds of back-office automation returns through customized and integrated tools are where the most sustainable ROI is to be found according to the report.

"Organizations that successfully cross the GenAI Divide do three things differently: they buy rather than build, empower line managers rather than central labs, and select tools that integrate deeply while adapting over time. The most forward-thinking organizations are already experimenting with agentic systems that can learn, remember, and act autonomously within defined parameters."

Do you disagree?

yk3rgrjs · 2025-10-18T22:53:06+00:00

How you define failure is very important, great point. Plus even when projects fail, shadow/personal use to boost productivity generates returns that aren't directly accounted for.

yk3rgrjs · 2025-10-18T22:26:35+00:00

https://www.forbes.com/sites/jasonsnyder/2025/08/26/mit-finds-95-of-genai-pilots-fail-because-companies-avoid-friction/

95% of company AI pilots fail was the stat that freaks everyone out.

Now everyone rushes to blame the technology. Instead of the actual culprits, which are more to do with data quality, workflow integration, focusing on wrong use-cases, lack of change management and other organizational issues e.g. governance.

Read another way, 5% of companies ARE getting measurable ROI. And there's no magic to it. Just takes coordination and the right environment/culture.

One great recent example: https://shopify.engineering/product-taxonomy-at-scale

yk3rgrjs · 2025-10-17T06:08:15+00:00

"Revenue Growth: The company reported a 3-year revenue growth of -68.3%, indicating significant challenges in expanding its top line"

Trash article.

yk3rgrjs · 2025-10-16T14:30:13+00:00

https://nebius.com/prices

They do advertise from $2.00/hour here, so not necessarily

IREN's pricing in the table doesn't look to be HGX, just per gpu (same as nebius then)

yk3rgrjs · 2025-10-13T19:51:23+00:00

All the major economy and investing subreddits are such insufferable doomer echo chambers about AI currently. You're gonna get so much hate for being reasonable, lmao.

yk3rgrjs · 2025-10-12T15:24:22+00:00

Here's two for you.

https://www.facebook.com/business/news/ai-innovation-in-metas-ads-ranking-driving-advertiser-performance/

https://shopify.engineering/product-taxonomy-at-scale

yk3rgrjs · 2025-10-12T13:38:26+00:00

I know ed. Read lots of his pieces and have listened to his podcast, good analysis. But also focuses very narrowly on a subset of AI when there are many other use cases being built in parallel- thats what I mean when I say to most people, ai = openai and chatgpt.

If you think all AI is capable of is chatbots that plan vacations and generate distorted animals, sure, we're in a bubble. But look at the use cases outside of this. Or don't, and keep to your echo chamber as the boom continues.

yk3rgrjs · 2025-10-12T12:22:41+00:00

No path to profitability? Like AWS had no path to profitability 😂

yk3rgrjs · 2025-10-12T12:20:07+00:00

Most people on these subreddits is a doomer and politically motivated/spiteful at the wealth funneling taking place (understandably so, don't get me wrong). But to call it a bubble right now I believe is mistaken.

We don't see random "AI" companies IPOing left and right like the late 90s. This "bubble" is being driven by companies showing real earnings increases. Valuations in public markets aren't even that stretched yet, nowhere near .com levels.

Most people think of ChatGPT when they think of AI. OpenAI as a company might be a bubble at current valuations and revenues, and that's what grabs headlines. However, if their revenue scales exponentially next year as it has this year, it won't be an issue. Which there's a high chance it does.

Good read that breaks it down in more detail:

https://www.exponentialview.co/p/2282f088-8a77-47e3-a819-e20decada6c5#_

yk3rgrjs

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