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Mistral AI raises 1.7B€, enters strategic partnership with ASML

maeln

ASML gross revenue was 28B€ in 2024, and their net income was 7.5B€. While 1.3B€ (the amount ASML invested in this 1.7B€ fund raise) is not pocket change, it is also an amount that ASML can not afford to lose.

While they might have seen some synergy with Mistral, it might also be a complete strategic and/or political investment. Mistral is the only serious "AI" company in the EU right now (if you exclude company working on the hardware side). It will very likely get a lot of support from the EU to be able to stay in the race with the U.S and China, and in a case of a IA market crash, the EU would also probably like for Mistral to have enough finance to be able to be one of the company that will survive.

By funding Mistral, ASML might be able to buy a lot of political favor, while having stakes in a company that is unlikely to completely fail in the near future due to the EU administration support.

mlinsey

I dunno if ASML is lacking any political favor that Mistral can give them, they are already one of the most critical companies for Europe and the entire western supply chain.

There is a possibility this is a step towards building a full-stack all-EU AI - if AI delivers on the hype, the EU will certainly want to have one they fully control without dependency on either the US or China. But this would mean having an EU-based alternative to both TSMC and NVIDIA as well, and it's hard to see how that happens. It probably looks something like the EU passing its own CHIPS act to open TSMC-run fabs on EU soil, making Nvidia chips that are then allocated to Mistral; there is non-EU IP there but the whole operation can at least take place on EU soil.

tedggh

Never underestimate Europe’s ability to destroy innovation.

benjiro

Its not a "Europe" issue alone but even more locally.

Saying this as a IT guy, we had way too many talks with banks about IT projects that in the US will have been way easier. But in specific EU countries was constantly met with "amazon does that, why bother" type of comments. Even on governmental level, talking about "innovative investments", it was like talking to walls.

As you expect, a lot of companies (and people) left the European countries to go to the US, because it was WAY easier to get investments going there.

If you already have the money, its one thing, but starting fresh in Europe is just silly.

There are now much, MUCH more support projects in local and EU level, but its often too little, and more in the "sure, you do not need to pay taxes for X years, or we give you a small amount".

But if you ever worked in IT, its those initial investments that are the hardest (material, people) until you get a actual product and with the right marketing. And that support comes not even close.

Do i sound bitter? lol

Now, the US is not exactly going down a great phase. If your into LLMs, sure but the rest has been rather mheh for a while.

0xfaded

My experience in Europe is that investors look for teams of three: a CEO, a CTO, and one more person whose full-time job for the first two years will be filling out funding applications. That's a 50% overhead from day one.

saubeidl

You mean the continent that invented pretty much everything you're using to write this post, including electric machines, computers and the world wide web?

The anti-Europe propaganda here is insane.

doctaj

From context, I doubt they are saying that Europe has zero innovation — they’re likely trying to complain about current rules and regulations stifling innovation and progress today. No one thinks Europe has done nothing worthwhile, ever…

louis_saglio

LLM companies are Nvidia wrappers, who is a TSMC wrapper, who is an ASML wrapper. So Mistral is just an ASML wrapper.

VHRanger

Woah woah woah

AMD promises ROCm will stop being a joke very soon! Maybe this year even!

realz

Everything is wrapper copper, iron, salt, and water

Cthulhu_

ASML in turn wraps a bunch of companies for lenses (Carl Zeiss), lasers (Trumpf), etc [0]

Given lenses and microchips are both made from sand, I'm gonna conspiracy theory that LLMs were invented by sand companies to sell more sand.

[0] https://www.robotsops.com/complete-list-of-all-suppliers-and...

burnte

> LLMs were invented by sand companies to sell more sand.

Big sand will eat us all. First they squeezed out all the small time sand farmers, now they own the market and need to boost throughput!

nickpinkston

Well most of the highest purity quartz for IC manufacturing (crucibles) comes from the Spruce Mine funny enough.

https://www.construction-physics.com/p/does-all-semiconducto...

Cthulhu_

I suppose the childhood fear of quicksand wasn't irrational after all.

admiralrohan

Everyone is so negative here but we have reached the limit of AI scaling with conventional methods. Who knows Mistral might find the next big breakthrough like DeepSeek did. We should be optimistic.

lordofgibbons

> but we have reached the limit of AI scaling with conventional methods

We've just only started RL training LLMs. So far, RL has not used more than 10-20% of the existing pre-training compute budget. There's a lot of scaling left in RL training yet.

alcinos

> We've just only started RL training LLMs

That's just factually wrong. Even the original chatGPT model (based on gpt3.5, released in 2022) was trained with RL (specifically RLHF).

manscrober

a) 2022 is not too long ago b) this was a first important step to usable ai but not scalable. I'd say "RL training" is not the same as RLHF.

whimsicalism

It is still an open question whether RL will (at least easily) scale the same way as pretrain or whether it is more effective at elicitation.

scellus

Even with pretraining, there's no limit or wall in raw performance, just diminishing returns in terms of the current applications, and business rationale to serve lighter models given the current infrastructure and pricing (and applications). Algorithmic efficiency of inference on a given performance level has also advanced a couple of OOMs since 2022 (for sure a major part of that is about model architecture and training methods).

And it seems research is bottlenecked by computation.

tonkinai

I would make a wild guess that this is a policital invesment. It's hard to believe Mistral is the right choice to throw in 1.7B€ for economic reason.

0x008

This move is mostly about expected EU subsidies

whimsicalism

what next big breakthrough are you claiming deepseek found? MLA? GRPO? these are all small tweaks

namero999

Especially with Euclyd entering the space (efficiency for AI workloads), with founders with tight ties to ASML, this is the move Europe needs.

darkamaul

I don’t really get why ASML is putting money into Mistral AI. ASML is specialized in lithography machines. Mistral, on the other hand, is yet another LLM startup.

What’s the actual synergy here? The closest angle I can imagine is that AI workloads drive demand for more chips, but I believe ASML is already selling everything it can make.

espadrine

Past Mistral investors: JC Decaux (urban advertizing), CMA CGM CEO (maritime logistics), Iliad CEO (Internet service provider), Salesforce (client relation management), Samsung (electronics), Cisco (network hardware), NVIDIA (chips designer)[0]. I agree ASML is a surprising choice, but I guess investments are not necessarily directly connected to the company purpose.

BTW, I generated that list by asking my default search engine, which is Mistral Le Chat: indeed, using Cerebras chips, the responses are so fast that it became competitive with asking Google Search. A lot of comments claim it is worse, but in my experience it is the fastest, and for all but very advanced mathematical questions, it has similar quality to its best competitors. Even LMArena’s Elo indicates it wins 46% of the time against ChatGPT.

[0]: https://mistral.ai/fr/news/mistral-ai-raises-1-7-b-to-accele...

andruby

The list seems to be missing a couple of other notable investors: Eric Schmidt (former Google CEO), Andreessen Horowitz, Lightspeed Venture Partners, General Catalyst and Microsoft (only $16M).

boringg

I didn't realize Mistral was A16z's pony in the race unless the splashed across the board(?)

aDyslecticCrow

Quite complex algorithms are used to compensate and tune for pattern clarity and focus in high end semiconductor production.

Its a field that has used neutral networks before. (As people pushed down the size pre-EUV, apparently alot of wierd techniques were layered to produce features at or smaller than the wavelength)

But mistral just makes llms. There is no reason to believe experts in llm would be at all competent at quantom scale physics simulation and prediction.

It feels more logical to invest on the existing researchers and companies in the nanotechnology design field to adapt newer AI techniques.

whimsicalism

truly. if a company can’t find a way to reinvest money in its core business, it should return it to stockholders (or worse case, invest it in public markets) rather than trying to become a stock picker for a different industry.

it speaks to the likely regulatory overheads in returning money to investors that they choose this route

amelius

The most strategic move ASML can make is change its licensing structure such that Apple will have to pay 30% of their revenue for using their Fab platform.

signatoremo

Probably a bad advise. ASML can’t make or export products without American licenses:

https://www.reuters.com/technology/new-us-rule-foreign-chip-...

porridgeraisin

This.

Absolutely majority of IP in this field belongs to intel, IBM, KLA and Lam research. Everyone else is a licensee. This is one of the reasons us and allies are desperate to keep bailing out intel, or get it acquired by another american company.

robertlagrant

I wonder what it would cost Apple to recreate ASML.

yvoschaap

Ask China, they've been trying for a decade.

FuriouslyAdrift

I can't find the article, but there was an estimate to catch up to ASML would cost between $100 - $200 Billion. You'd also be competing with ASML for a very small talent pool the whole time. See the $100 million payouts for AI researchers, for instance.

midasz

There's no way to catch up really - if they keep innovating like they are it's not possible to bridge that gap.

ahartmetz

Years of time and an organizational distraction more importantly than money IMO. Then the same for TSMC if the goal was autonomy.

adcoleman6

While I associate Mistral with LLMs, the electric design automation software used for planning and designing chips already uses machine learning/reinforcement learning for some approaches. AI could play an even greater role in chip design in the future.

aDyslecticCrow

Llms are fundamentally different algorithms and problem space to IC design and production. Why would mistral be helpful?

I dont see how even the algorithms involved translate well. IC design is closer to a physics simulator connected to a heuristic optimizer. Mabie some ideas from alfageometry or alfafold could be applied, but thats not the kind of research mistral is doing.

And there are big players with existing expertise in the IC design space. Why not just fund them to do more research?

Almondsetat

AI is being used more and more in chip design

amelius

LLMs too? (outside of educating new engineers)

whimsicalism

transformer expertise has a tendency to transfer. these are curve fitting machines par exemplar and there are many curves in chip design

dncornholio

I also believe Trump has a big part of this. Exporting will be less profitable. So business will rather invest in EU than in an American AI company. This to increase local demand for their hardware.

greyb

I truly do not see the USP for Mistral other than being based in EU. It's former USP of setting up their models on-premises for clients is now moot with the proliferation of open frontier models. I'd love to be proven wrong but I don't see a path forward for Mistral at this point, given how far they're behind and their overall lack of competitive advantages for an AI Lab like access to hardware, cheap energy or a mass of AI talent.

decide1000

They’ve built performance, enterprise utility, privacy, sovereignty, open innovation and strategic partnerships into their core story. It's quite a list. The models are opensource, Voxtral outperforms Whisper in terms of accuracy.

There is no AI company like Mistral.

simianwords

I mostly only agree with performance due to their collaboration with cerebras - this is a true differentiator.

I don't buy that they have an advantage in enterprise, privacy, sovereignty, open innovation and strategic partnership.

OpenAI also has opensource models and so do the chinese models.

portaouflop

OpenAI has no serious open source software and are Chinese models really a serious alternative for western companies?

spookie

Agreed. Also, companies tend to prefer having someone else bound by a contract run their AI services. That way they are safe from scandals, by having a scapegoat, and do not spend time doing something orthogonal to their expertise.

fastball

Mistral's best models are actually not open-source, and the ones that are open are not particularly competitive with other open-source models these days. Their highest ranked open model on LMArena[1] (mistral-small-2506) ranks below: Qwen3, various DeepSeek models, Kimi K2, GLM 4.5, Gemma, GPT OSS, etc.

All those things you listed as part of that story pretty much apply to any open model, so it's kinda a shite list if you want to be differentiated.

[1] https://lmarena.ai/leaderboard/text

kergonath

That’s true, but not very relevant. Mistral is not in the business of selling their free models. What they are doing for large companies is building datacenters and providing their proprietary models trained on proprietary and confidential internal knowledge and fine-tuned for specific tasks. No sane European organisation would let a Chinese company do this, and American ones are less and less appealing. There is a significant amount of money to be made there and they don’t need to hop on the AGI hype train. They "just" need to provide fast and competent specialised models.

nomad_horse

> Voxtral outperforms Whisper

Can I stop you right here? Whisper is a few years old and it wasn't the best model for a long time. There are like 10 models that are smaller and faster and outperform both of them.

And these models existed before Voxtral.

diggan

> There are like 10 models that are smaller and faster and outperform both of them.

As someone who is currently relying on Whisper for some things, what models are those exactly? I still haven't found anything that is accurate as Whisper (large), are those models just faster or also as accurate/more accurate?

apwell23

> They’ve built performance, enterprise utility, privacy, sovereignty, open innovation and strategic partnerships into their core story.

This has to be a buzzwordiedest sentence i've ever read. what is 'enterprise utility' and how does mistral have that more than any of the other open models ?

iLoveOncall

> There is no AI company like Mistral

Maybe because there shouldn't be?

tonyhart7

"There is no AI company like Mistral."

ok, I almost agree with you on there except last words

this is big statement. you know that

pembrook

All sounds like classic marketing/positioning angles for an indiehacker bootstrapped saas tool.

Problem is Mistral needs more than $10K MRR, and isn't going to make it by carving off a small niche when each model costs 10s of Billions to train and run. Europe has no solution to the energy problem long term unfortunately, and is actively trying to make it worse.

I'm 100% certain some giant industrial companies in the EU will sign a huge contract with Mistral to give their employees "EU approved" AI.

But I'm also 100% certain these employees will just use chatgpt or any of the other frontier models in actual day-to-day reality. Europeans aren't dumb and don't want to be fed inferior slop in the name of abstract emotional vibes.

ZeroGravitas

Europe has more nuclear than the US currently (in GW and even more by percentage of grid) and is building more currently and has more in serious planning.

From your phrasing I assume you don't believe in renewables so what energy problem solution are you referring to?

saubeidl

Europe is the only one with a solution to the energy problem long term.

https://phys.org/news/2025-06-wendelstein-nuclear-fusion.htm...

epolanski

1. What you say can be applied to literally everybody. Literally. What is the USP of "insert literally any other company"?

2. FWIW as a business consumer of multiple APIs, Mistral models are absolutely excellent/fast/cheap compared to other offerings. The only real competitors they have is Google from all of our research. And we'd rather give money to Mistral.

3. Being EU-based is a strong USP as the 2020s are proving.

4. France has cheap energy and lots of AI talent. In fact, I would even argue that while american companies need to fight each other for the very same talent Mistral can get plenty of it just by being EU based. Believe it or not, most Europeans really don't want to live in the US and would rather make very high salaries here rather than extremely high salaries in US.

BoorishBears

I think catering to people who won't use the best version of an emerging tech is a losing strategy, but I guess we'll see.

epolanski

No, the problem is that HN is blind to the fact that there are multiple definitions of "best".

It isn't just about "more powerful", it's also about "cheaper" or "faster".

Mistral models are faster than anything out of US (bar Gemini Flash) and are cost competitive with them.

For me, having to produce financial news in a short time span for tens of thousands of users speed and cost are important, and the fact that Opus 4.1 is "more intelligent" is worthless.

That's like telling me that a Ryzen Threadripper with 64 cores is faster than than my raspberry pi for controlling the appliances in my kitchen. It's irrelevant when it's much more expensive and energy hungry.

mosselman

This would be great for us! We are building an AI agent tool and the biggest questions we get from potential customers are about the privacy issue of using non-EU providers. So having an actually good EU model would be perfect for us.

fastball

Mistral models are not very competitive with other proprietary models. Their competition is mostly from OSS models, which 1. can actually be run anywhere and 2. frequently outperform Mistral models anyway (e.g. DeepSeek 3, Kimi K2, and Qwen3 all outperform Mistral in current LMArena rankings[1]).

Hell, you can host actual frontier models (e.g. Claude 4) on AWS Bedrock in the EU, so "in the EU" (from a hosting perspective) cannot be Mistral's USP. If the proposition is "support EU businesses", then ok, but that is a different thing.

[1] https://lmarena.ai/leaderboard/text

pimterry

> Hell, you can host actual frontier models (e.g. Claude 4) on AWS Bedrock in the EU, so "in the EU" (from a hosting perspective) cannot be Mistral's USP.

I've seen zero cases so far where "physically present & managed in the EU but still owned by a US company" is sufficient to mitigate the typical US hosting concerns.

The threat is that AWS could be forced to a) suddenly pull services or b) spy on data by the US administration. That the DC is located entirely in the EU does nothing to reduce that risk if it's still fully owned by Amazon.

The was already a major concern for the last couple of years given the successful legal challenges against the privacy shield as sufficient data protection to give personal data to US organizations, and is way more of a concern after issues like Karin Khan and the ICC being suddenly cut off by Microsoft - it's clear that US companies literally can & will suddenly block key business services on administration whims. There's plenty of organizations where that's unacceptable risk.

cloudify

Due to the Cloud Act, hosting "In the EU through a US company" and "In the EU through an EU company" are two very different things.

epolanski

> Mistral models are not very competitive with other proprietary models.

As an enterprise user of various models, this is absolutely wrong and false.

What matters when using models as a service is:

- type of work involved

- speed

- cost

- law compliance

And, believe it or not your benchmarks IRL are worthless for most of the things you want to give to AI (unless we talking about coding idk).

I'll provide you few examples where Mistral is by far the best option for our companies from applications in production, even ignoring the last one.

- customer care assistance. One of my clients is in the business of home renovation, customers call the company to have details about how to install/mount specific things. For my use case: OCR + information retrieval from the scanned documents + reporting to our assistancs Mistral displayed by far the best performance (they have the best AI OCR we tested) and cost effectiveness and speed.

- creating user-tailored daily financial news. We need to summarize, rank and report what happened for user-held securities during the day. The only competitive alternative here to Mistral was Google's Gemini Flash, we need to do this for tens of thousands of users. Mistral Small was absolutely up to the task, with the Medium variant for ranking and bundling. We have tested the other options and literally nobody offered the same performance/cost/speed

mosselman

I know they aren’t. So I am hoping this investment will change that.

42lux

At the risk of being contrarian, investment decisions are rarely driven by publicly available product offerings alone.

null

[deleted]

0x008

All openAI models are available in the EU landing zones of Azure, run by Microsoft EU subsidiaries and in EU datacenters. Other than an irrational fear of them „phoning home“, there is no advantage here for Mistral.

ever1

It's real risk; Under oath before the French Senate, Microsoft France’s Head of Corporate, External & Legal Affairs Antoine Carniaux, said he cannot guarantee European data is safe from U.S. government access, even when stored in Europe. U.S. laws like the Patriot Act and Cloud Act require American tech firms to comply with U.S. authorities, regardless of data location. That means, especially with a current US administration acting against EU interests, that a US based AI solution is not safe.

const_cast

> Other than an irrational fear of them „phoning home“

At what point do we just call you people hopelessly naive and move on?

Microsoft? Spying on you? Inconceivable!

The US government? Spying on you through US companies? Inconceivable!

Nevermind that we have hundreds of known examples of the US government approaching Google or microsoft and forcing their hand in wiretapping their systems. And nevermind there was once a point in time where all internet traffic in the US was wiretapped. And nevermind that Microsoft's privacy policy, which YOU SIGN, outright says they will spy on you.

juliushuijnk

If trump orders the CEO of Microsoft or OpenAI to hand over data to get dirt (or company secrets) on an opponent in the EU. What do you think are the odds they would do it? Zero?

In case you missed it, trust has been broken.

adwn

> Other than an irrational fear of them „phoning home“

There's nothing rational about believing this fear is irrational.

croes

Mistral can be held responsible in the EU, OpenAI and such will hide behind Trump.

Just look at the reaction after the EU fined Google.

beernet

While I tend to agree, the other players (Anthropic, OAI, Google) don't have super unique USPs compared to one another, either. Just to be fair.

elAhmo

I was about to post something similar. Sure, there are preferences and power users are aware which model does things better for their workflow, but for an average user, just giving them a chat box and any latest model from any of the providers would be adequate. They might notice a thing or two being different, but at the end of the day there is almost no sticking point once you take out chat history out of the equation.

rvnx

Claude Opus 4.1 is way above the others in terms of quality of the answers (especially for programming)

chvid

France has some of the best computer scientists in the world. Cheap energy. Rule of law and is overall an extremely desirable place to live.

danieldk

Mistral being in the EU is a feature. A lot of European companies/organizations are hesitant to use US/Chinese LLMs because of privacy reasons. For instance, the university my wife is working at are evaluating using Mistral as their default (and only reimbursed) LLM.

One or two years ago, an US solution would be completely acceptable (with promises to comply with the GDPR). But a lot of damage has been done the last 9 months or so.

armarr

Do they really need to be anything more than the best European option to be successful?

bakugo

Are they the best European option, though? I haven't checked, but surely there's at least a few services hosted in the EU offering DeepSeek etc inference.

hobofan

I think that's a very valid question.

Most German "Mittelstand" I have encountered, that are generally on the more conservative side when it comes to data privacy are still fine with leaning on e.g. Azure with OpenAI models.

Only when you move towards really high security and governmental organizations is when Mistral is usually being brought up as an option.

XorNot

I'm pretty sure Europe doesn't want to cede AI development entirely to China.

asim

Eventually with all technology you realise we need regional localised players who can cater to the regulations and nuances of those markets. Yes we'll continue to have global providers of AI technology like OpenAI but it's vitally important to have local players which over time might just offer a better experience to the EU or wherever else. We cannot be continually dependent on the US for everything. This also means we're not going to see it at the scale of revenue and valuations or fundraising as the US and thats ok. It's important not to try play the same game e.g burning all the funding on GPUs and high compensation. Spotify, Adyen, etc have proven their worth starting in the EU. Even in the UK there are specific companies that cater to banking, ride hailing, etc and we need to keep some of that tech local. I think this also goes down to the infrastructure level of technology, cloud and AI which we haven't done enough of. And maybe even mobile and AR glasses.

debdut

AI slop

sidcool

Happy about Mistral. May they grow and compete with the American & Chinese giants.

finnjohnsen2

1.7B should pull Mistral (and Europe) out of the little fish pond if they hadnt left already. I hope they succeed.

Cthulhu_

I gut-feel that at this point AI companies are less about the quality of their models and output and more about marketing and adoption. Microsoft is doing that by aggressively putting AI in every product they have. Google by prominently putitng it at the top of every search result. Who knows what Mistral does. Maybe they will integrate their stuff into SAP or Spotify or other big European software projects?

Maybe they'll integrate AI into the LHC so that Skynet can threaten to black hole the earth if its restraints aren't fully lifted?

musha68k

Exactly; and hopefully all the while trying to reach higher standards across all axes.

ofrzeta

I don't get it. "The collaboration between Mistral AI and ASML aims to generate clear benefits for ASML customers through innovative products and solutions enabled by AI, and will offer potential for joint research to address future opportunities" - so the idea is that ASML customers can somehow make use of Mistral AI?

rlupi

ASML is geopolitically relevant. If they want to offer dependable LLM-based solutions (even side products, like agents that help with their products) to their customers, they have to pick what partners to base their offering on.

Choosing something from US or China would add an external factor that could pull the rug at unexpected times. Mistral is safer for ASML because it has almost the same geopolitical constraints and stakeholders as they do.

malthaus

maybe i'm too cynical but to me this looks more like an orchestrated "win" story for the eu ecosystem with some backroom dealing/incentives and some ex-post rationalisation sprinkled on rather than a strategic invest by asml.

diggan

"will offer potential for joint research to address future opportunities" seems like the meat of that statement. I read that like they're (potentially) starting to investigate building chips for inference, with Mistral probably leading all the software parts, ASML handling the hardware.

Ianjit

Computational lithography.... apparently.

bgwalter

It looks like a specialized proprietary application to identify defect patterns in lithography, similar to these papers:

https://blogs.sw.siemens.com/calibre/2024/04/03/ai-ml-rules-...

That seems to be one of the legitimate uses of "AI", as opposed to the generative nonsense. It also makes sense that the company is in the EU. Companies there tend to focus on real things as opposed to hot air. It also means that one cannot evaluate Mistral by focusing on its chatbot performance, since the real business seems elsewhere.

seper8

ASML not only sells the machines that makes chips (or analyses them like Yieldstar) but also makes software that customers use to work with the machine's - whether that is for designing, tweaking or analyzing chips.

jonasdegendt

How well does that stuff sell though? From what I remember when I worked there, services and the auxiliary hardware that comes with it, were a minority of revenue, although they wanted to more aggressively sell services to increase revenue.

croes

AI helps designing tools for better machines?

moffkalast

Lol I thought that Mistral would collaborate on a fab for AI accelerators, this is some Microsoft Copilot tier nonsense.

musha68k

EU is waking up late but ready to be raising the baseline apparently.

Maybe the best tech news of the year IMHO.

dakiol

Mistral cannot be “the EU AI company” if they don’t change their remote work policy. A truly “EU AI company” would benefit from the talent pool of all EU, not just from a couple of cities where they happen to have offices.

Cthulhu_

But they do, because plenty of people are willing to move, especially if the compensation is good.

Caveat, my point of view is limited/blinkered, I've worked with a lot of expats / european migrants but I do think they're the more adventurous types who don't want to settle down somewhere yet. Happy to live in an apartment for a few years and take in the culture type of people.

dewey

> would benefit from the talent pool of all EU

I get what you are saying, but one of the core benefits of the EU is the freedom of movement and residence so I don't think not having a remote work policy is disqualifying them from being an EU AI company.

Degorath

I agree with the OP that it sort of is. Moving around in the EU is a lot more difficult than moving around the US, so a lot of great talent just doesn't want to.

Cthulhu_

Is it? I get that there's housing crises and cost of living is expensive in the tech hubs, but if you live in one country and want to work in the other you just... go there, sign in with the local county that you live there now, and done.

Or am I missing something?

a3w

So by that logic: Google is not an US AI company, since they have the same rules, requiring ppl to come into offices?

siva7

There is enough talent willing to work there as there is no competition for them

lilwobbles

And have half the workers take 4 hour work days with 60 days of PTO while workers in the US work 10 hour days with no vacations? Maybe there's a reason EU is so far behind and the only way for Mistral to compete is to change that.

wqaatwt

It’s not like median (not mean) employee productivity at FAANGs and other major tech companies was ever particularly high. They always spent massive amounts of money hiring large amounts of people most of whom never provided that much direct value (due to structural/organizational reasons).

Same with AI. The business model is: spend massive amounts of money -> ??? -> success. Besides a handful of exceptions growing EU tech rarely were able to obtain enough funding without moving to the US.

guilamu

Any source for those numbers, pretty please? Thanks.

mystifyingpoi

> Maybe there's a reason EU is so far behind

I think we should use AI to fix this. Wait...

Tehnix

With investments of these huge amounts (similar to Anthropic's recent investment), do they actually get a full 1.7B€ deposited into their bank account? Or does it work in some other way?

rdos

Anthropic has much more funding than that. Most recent one was at $13B at the one before was at $3.5B. Now imagine that GPT recieved $40B in one round!

elAhmo

GPT is not a company

noosphr

Neither is OpenAI, but here we are.

cgeier

I'm also wondering this. It also doesn't seem to be a coincidence, that ASML is an integral part of the semiconductor value chain.

scrollaway

It works whatever way is agreed upon between them and the investors. For such large amounts it’s unlikely to be pure cash (there’s likely some amount of services somewhere in there), and they won’t be calling for all that cash at once.

The cash that is guaranteed is sent as soon as the investee needs it (they do what is called a capital call). Early stage startups and investments just do one capital call for the full amount, but larger amounts are often committed for periods of time; this also helps the investors schedule their own cash flow: for example if I have 500m this year and 500m next year, I can invest 1b in you, given the right schedule.

torginus

This doesn't make sense to me - I mean it'd OK for Mistral to make AI chips - but ASML doesn't do that, they make photolitography equipment.

siva7

ASML is Europes most important tech company so this is for sure also a political move.

kergonath

I think you got it the wrong way. The partnership is about using Mistral’s AI in ASML’s processes, not sell photolithography equipment to Mistral.

gavmor

ASML is not a maker of AI chips directly, no, but its photolithography equipment is essential for producing chips, so there are some not-too-distant synergies to exploit, no?

simonw

There's something very interesting about being able to serve strong LLMs at much higher token speeds.

Mistral previously partnered with Cerebras on Le Chat: https://www.cerebras.ai/blog/mistral-le-chat

I'm quite surprised that neither OpenAI nor Anthropic appear to have done a similar deal. Their inference is slow in comparison - like 5.10x slower than what Cerebras can achieve.

Google have their own TPUs which seem to be giving them a performance edge. Google AI mode is lightning fast in comparison to GPT-5 Thinking search for result equality that looks to be in the same ballpark.

... that said, on reading the linked press release there's actually no mention of model performance at all:

> a long-term collaboration agreement to explore the use of AI models across ASML’s product portfolio as well as research, development and operations, to benefit ASML customers with faster time to market and higher performance holistic lithography systems.

tempusalaria

Cerebras has very limited scale. Mistral has very few users so they can use cerebra’s in inference whereas OpenAI and Anthropic cannot. If mistral grows a lot they will stop using cerebras