AMD to buy Silo AI for $665M

429 points18
helsinkiandrew18 hours ago
mastax18 hours ago

I’d argue that a factor in CUDA’s success is their army of in-house researchers which use CUDA to do novel things. Sometimes those things get turned into products (OptiX) other times they are essentially DevRel to show off what the hardware can do and documentation for how to do it. Additionally I’m sure they use pre-release hardware and software and give feedback about how to improve it.

I don’t know what AMD has in mind for this acquisition but I could see there being a lot of value having an in house LLM team to create models for customers to build on, run in benchmarks, and improve their products.

eightysixfour17 hours ago

Yes, nvidia spends a lot of time and money developing software that induces demand for their GPUs.

xyst14 hours ago

Nvidia also spends a metric shit ton of money to make sure professors use and teach on their platform.

I don’t remember any alternatives in uni. Maybe OpenCL but only lightly mentioned

wsay11 hours ago

As someone who has designed and taught those courses, my experience (admittedly only one persons) is that you pick what will work with the least hassle - because you'll have plenty of hassle elsewhere and probably no real time to deal with any of it without making more.

sillysaurusx10 hours ago
fngjdflmdflg12 hours ago

>Nvidia also spends a metric shit ton of money to make sure professors use and teach on their platform.

Do you have a source for this claim? Or do you simply mean that since they spend money making it better that professors end up using it on their own accord?

physicsguy11 hours ago
flakiness12 hours ago
helloericsf14 hours ago

OpenCL was discussed more frequently in classes about a decade ago. However, I haven't heard it mentioned in the last five years or so.

Narhem12 hours ago

Not exactly but they give massive discounts and the tools are much more appropriate to use for late undergrads and grads.

Izikiel4314 hours ago

Opencl is horrible compared to cuda

Narhem12 hours ago
light_hue_113 hours ago

> Nvidia also spends a metric shit ton of money to make sure professors use and teach on their platform.

Nah. People teach what they use because that's what's easy.

baumy12 hours ago
alphabeta202410 hours ago

You get free access to hardware for courses if you teach CUDA courses.

thanhan2016 hours ago


Narhem12 hours ago

No nvidia makes great tooling. Like as a startup if I had to pick a development tool AmD fails repeatedly while nvida tooling is like matlab level of usefulness.

Those companies have money to make ‘nice’ things which open source software doesn’t have the time to do.

For 100m you could probably make some pretty sweet clones if amd is hiring anybody to man that position.

xzel9 hours ago

I’m not sure if I’m in the minority here but Matlab levels of tooling is an insult. Their guides were always two or three steps before being useful. Just enough to make you think whatever they were selling would solve your problems but never enough when really building a solution.

cosentiyes9 hours ago

> matlab level of usefulness

that's a little harsh :D

eightysixfour6 hours ago

I don’t understand what you are disagreeing with.

Nvidia makes software that induces demand for their products. Sometimes that software is a tool, or a platform, or an ML model, or foundational research on algorithms.

Dalewyn7 hours ago

>Those companies have money to make ‘nice’ things which open source software doesn’t have the time to do.

I would posit it's a lack of will rather than time.

KeplerBoy17 hours ago

The biggest frameworks are still from other players though. Pytorch, tensorflow and jax aren't funded by Nvidia.

stanleykm16 hours ago

But they are built on top of nvidia tooling and you can use nvidia tools to do more extensive profiling than other players offer.

KeplerBoy16 hours ago
eightysixfour6 hours ago

That’s ignoring a huge swath of software nvidia uses to push industry forwards (in the direction they want it to go).

Omniverse, Isaac, Metropolis, Rapids, etc.

fortran7710 hours ago

Yeah but the frameworks use CUDA in their NVIDIA implementation , don’t they?

mcbuilder15 hours ago

No way would any of those have any have bindings to backend libraries like cuDNN.

cityofdelusion13 hours ago

The success of CUDA is basically a dual effect of AMD devices being inefficient and bad for years, plus AMD having no answer to CUDA for a solid 7+ years while the foundations of GPGPU were being laid down.

Mindshare shifts slowly.

chidli123412 hours ago

It's an acquisition, usually for patents/IP. There will be layoffs.

ahartmetz9 hours ago

AMD is (according to their own statements) in the process of picking up a lot of software manpower. And wages in Finland are European tier, not US West Coast. Why lay them off?

pjietr12 hours ago

I guess their growth strategy was mostly about hiring every Finnish person, or living in Finland (and then in other countries) with a PhD in some quantitative topic and then market the "we have xx PhDs as a consultancy for all your projects". So you probably are right that not all these are needed anymore?

Narhem9 hours ago

Why Finnish and not American or Persian?

thenaturalist18 hours ago

Huge congratulations to the founders and what a nice mark for the European (and Nordirc) startup community.

It's gonna be quite interesting to see if this works out strategically.

I guess the bet is an in-house army of PhDs vs. having a CUDA - which you don't as a second mover here - and assuming PhDs tightly coupled with the hardware can outperform an open framework/ push Triton to parity to CUDA over time.

sva_18 hours ago

Congrats to the founders indeed, but

> what a nice mark for the European (and Nordirc) startup community.

Not sure if it is a great win for the EU at large if their AI startups get bought up by American companies though, to be fair.

thenaturalist18 hours ago

The economy and startup world isn't a zero sum game.

Ultimately the AI play* is open source for the foreseeable future, even more so for AMD if they want to sell their chips.

And if Silo AI's people accelerate competition in the AI HW space by accelerating Triton development/ raising the industry's competitive edge against Nvidia, we all benefit from stronger competition.

And in most other European startup hot spots, senior staff/ founders with previous exits reinvested their earnings into the domestic startup scene through founding again or becoming Business Angels or going VC.

I see this as a huge net win.

* EDIT: For integrating with compute, I guess.

62746717 hours ago

Actually, it is zero sum. there's finite resources, human talent, and centers for decision making. yeah, European startup gets American money today, and American decision making center grows larger. whether the money paid into Europeans now is used to prop up new generation of startups - in any meaningful way - will remain to be seen. most likely: these senior staff/founders will probably allocate their cash where it is more efficient and I doubt it will be (meaningfully) in europe

thenaturalist17 hours ago
xmprt2 hours ago

The world is very much not zero sum and never has been. If it was then we'd be stuck in the stone age because every advancement that benefits one person would hurt the rest. Instead we see that over the course of history the average wealth of the world has gone up. There are certainly some negative intangibles that come from that (eg. climate change or ecosystem collapse) but it's hard to quantify if that makes it zero sum and even so, the context of this thread is about human vs human zero sum games.

bee_rider17 hours ago

Don’t European programmers make much less than Americans? I wouldn’t be surprised if they kept a pretty big footprint over there.

Big picture the US unemployment rate is quite a bit lower than the EU, so I’m sure any global company is happy to draw from the bigger pool.

Finally, benefits can be unbalanced in favor of one entity or another without being zero sum. Even if the US benefits more from this deal, the purchasing company, AMD, still turns sand into extremely valuable electronics. That’s not a zero-sum activity.

singhrac17 hours ago

I’m not sure we agree on what zero sum here means, but one direct consequence of having a decent exit here is that the investors in Silo will get a capital return they can use to raise more funds.

I don’t know what the founders of Silo will do, but the investors are in the business of investing, and incrementally the viability of being an AI VC in this area has gone up (depends on the counterfactual but I think cash exit is better than some chance of IPO).

mgfist16 hours ago

You say it's zero-sum then in the next sentence say "whether the money paid into Europeans now is used to prop up new generation of startups - in any meaningful way - will remain to be seen", which surely implies that it's not necessarily zero-sum.

nl4 hours ago might be interesting to read.

blackhawkC1717 hours ago

Europe’s tech ecosystem will still benefit a lot regardless. Zero-sum thinking is not good- it causes economic regression and poverty in the long run.

fauigerzigerk17 hours ago

>Not sure if it is a great win for the EU at large if their AI startups get bought up by American companies though, to be fair.

That would be a concern if the plan was to move the entire team to the US. But if the Finland based company just becomes a part of AMD then I see little downside. Some very competent people in Finland now have $665M to fund new startups.

Ultimately I think the most important question is where the interesting and high productivity work gets done. That's the place that benefits most.

Rinzler8917 hours ago

>That would be a concern if the plan was to move the entire team to the US.

The issue is that all that Finnish labor now fuels a US tech giant who's profit center is in the US, not in EU, therefore mostly boosting the US economy in the process.

Then there's also the trade barriers that come with now becoming a US tech company instead of a Finnish one. You can't sell to China, and other countries on the US's shit list without Uncle Sam's approval.

fauigerzigerk14 hours ago

>The issue is that all that Finnish labor now fuels a US tech giant who's profit center is in the US, not in EU, therefore mostly boosting the US economy in the process.

No, this is not how it works. Assuming Silo AI continues to operate out of Finland, its investments, the consumption of its employees and its exports will continue to count towards Finland's GDP just like before. Any profits go to AMD shareholders all over the world, not just in the US. The strategic alignment between Silo AI and AMD may well benefit both Finland and the US.

We have a similar debate in the UK regarding DeepMind. And yes it's true, if you assume that DeepMind or Silo AI would have become world dominating tech behemoths in their own right, then it would have been better for Britain/Finland if they hadn't been sold.

But it's also possible that the UK and Finish operations are ultimately more successful as part of Google/AMD because they benefit from strategic opportunities they wouldn't otherwise have.

I'm not saying that headquarters don't matter or that there are no downsides (e.g wrt corporation tax). What I am saying is that it's not automatically a bad thing for a country if a company gets sold to a foreign corporation.

One thing is for sure. It's far better to have a lot of US subsidiaries in the country than watching your graduates and startup founders leave for the US.

pjc5016 hours ago

> US tech giant who's profit center is in the US, not in EU, therefore mostly boosting the US economy in the process

More of a matter of accounting than reality. For years, Apple were deliberately not repatriating their profits to avoid tax, keeping them out of the US economy.

The question of where a profit is actually made for a multinational company can be very unclear.

mistrial918 hours ago

they have loyal and stable staff with healthy family lives unlike 8 of 10 California companies

blackhawkC1717 hours ago

Employee loyalty isn’t a good thing. One of the best things about Silicon Valley is that people can swiftly change companies when they get higher offers. Non-competes are void in California.

There’s a reason US salaries for software devs are 2-5x EU salaries for similar roles.

snowpid16 hours ago

What if I told you that non - competes aren't a thing in Germany. (And a big part in other parts of US)

storyinmemo15 hours ago
zombiwoof10 hours ago

As someone who has been stuck in Silicon Valley for 20 years I can say hands down the German and European teams I’ve worked with far outshine the hacker ego Hollywood hipster techbros of San Francisco. Yet the latter make 2-5x the income.

rangestransform15 hours ago

employee loyalty is a good thing if it's bought and not expected

p_j_w14 hours ago

>There’s a reason US salaries for software devs are 2-5x EU salaries for similar roles.

When you account for medical costs, rent (especially compared to the localities in the USA that provide these huge salaries), extra vacation time, and for those with children, education and child care, this gap narrows considerably.

Rent alone... one can find a reasonable spot in Berlin for ~$1300/mo. Good luck finding more than a shared box in the Tenderloin for that much in the Bay Area.

blackhawkC1713 hours ago
SSLy18 hours ago

My cursory understanding is that Silo is a developer of LLMs that run on top of compute platforms. Isn't the problem with no one using AMD's accelerators the fact that their programming environment is sub-par compared to CUDA, or even Apple's?

btown16 hours ago

The underinvestment in, and abandonment of, a project for a CUDA compatibility layer by AMD a few months ago hints that they no longer see CUDA compatibility as a goal. Perhaps they see Silo as a way to jumpstart bringing ROCm to parity with CUDA's toolkit. It's hard to understand if there's an underlying strategy to how they'll stay relevant from a software perspective when they're abandoning projects like this.


seunosewa16 hours ago

That's an unfortunate choice. AMD has excelled in making compatible hardware. Not so much software success, if any.

Narhem8 hours ago

It takes a lot of design skill to make something complex simple. I have a lot of doubt AMDs department even has design skills.

Narhem8 hours ago

CUDA is a decided abstraction with OpenCL I wouldn’t be surprised if eventually they pick a different abstraction to describe the interface they use for writing programs

IshKebab13 hours ago

It makes no business sense for them to try to get CUDA compatibility. That would just cement CUDA as the de facto standard, at which point they are locked in to playing catch up forever as nVidia intentionally adds features to break compatibility.

Much more sensible to work on getting rock solid support for their own standards into all the major ML platforms/libraries.

joe_the_user12 hours ago

It depends what means by "business sense". Compatible makers have profited, did profit during PC era. Indeed, one of AMD's core businesses is make xx86 compatible CPUs.

Nvidia and standard-maker is limited in what breaking changes they introduce - these can harm their customers as much as they harm the competition. Intel failed to force all their changes on AMD as the xxx86 market expanded (notably, the current iteration of CPUs standards was set by AMD after Intel was unable to sell their completely new standard).

Still, I'd acknowledge that "business sense" today follows the approach of only aiming for markets the company can completely control and by that measure, CUDA compatibility isn't desirable.

mandevil11 hours ago
slashdave10 hours ago

They don't need parity. They just need ROCm (or OpenCL) to be a reasonably viable alternative.

doikor18 hours ago

They have been using/building stuff for the LUMI supercomputer which has a bit over 12000 MI250X

“Silo AI has been a pioneer in scaling large language model training on LUMI, Europe’s fastest supercomputer powered by over 12,000 AMD Instinct MI250X GPUs,”

anewhnaccount218 hours ago

They successfully trained LLMs on Lumi, which has AMD Instinct MI250X GPUs. This perhaps provides a hint about one angle on why AMD are interested.

zacksiri17 hours ago

It makes sense then for AMD to buy them out.

If they’ve trained LLMs with lumi which has a lot of instinct GPUs there is a high chance they’ve had to work through and solve a lot of the gaps in software support from AMD.

They may have already figured out a lot of stuff and kept it all proprietary and AMD buying them out is a quick way to get access to all the solutions.

I suspect AMD is trying to fast track their software stack and this acquisition allows them to do just that.

rcarmo16 hours ago

I am curious if the models are any good, though. The landscape is so fragmented I never heard of Poro.

ghnws16 hours ago
pantalaimon16 hours ago

So AMD wants to know how they did it, understand.

antupis14 hours ago

Silo mainly does consulting and those models were kinda done on side. But great for founders and truly weird acquisition for AMD.

pjietr15 hours ago is mostly a consulting house for various proof-of-concept type of projects with the LLM product being only the recent addition

Keyframe15 hours ago

Maybe they can use LLMs now to program their platform for them? </snark or not really>

csomar18 hours ago

Sure, buying this company for 600m will fix everything.

sqeaky18 hours ago

That is the most sarcastic thing I have read in weeks.

But isn't getting a software stack the exact kind of thing they need? Is there no overlap in the skills at the purchased company and the skills needed to make the AMD software stack not suck?

lyu0728216 hours ago

That assumes that the reason AMD's software stack sucks is because of skill, not company culture, management or other reasons that won't change with this acquisition.

throwway12038516 hours ago
baobabKoodaa17 hours ago

Sure, there is some overlap. Is that overlap worth 665M?

rvnx17 hours ago
eysgshsvsvsv17 hours ago

You all live in a simple world where complex systems are fixed in simple statements like software stack is all they need.

sqeaky17 hours ago
rdtsc17 hours ago

What do you think they should do?

anonym2917 hours ago

"fix"? What is there to fix? AMD has been simultaneously fighting Intel and Nvidia, two MUCH larger companies, and it's been winning the fight against Intel for close to a decade now.

It's certainly not Lisa Su's fault that the clowns over at Intel got stuck on variations of 14nm (with clever marketing names like 14nm+++++) for nearly a decade, but credit certainly is hers for introducing Zen and putting AMD back on top of the x86 market.

With the new x870(e) motherboards and Granite Ridge chips right around the corner, effortlessly destroying the pyrotechnic processing units known as Raptor Lake, it's honestly a miracle to me that Intel's stock price is still as high as it is.

Guess wall street still loves those billions of forcefully confiscated taxpayer dollars being doled out by Uncle Sam to a graying dinosaur like Intel who couldn't even compete without those handouts... the quality of their marketplace offerings certainly isn't what's keeping that valuation up!

philistine17 hours ago

I’m also bullish on Intel, but clearly not as much as you. Intel is transitioning right now. x86 is never going to reclaim the crown of most important architecture, so Intel is trying its best to become a foundry for all the fabless customers out there. It’s going to take a long while, but right now they’re the best company to compete with TSMC in ten years. If Apple uses their foundries next decade, you’ll know Intel is back on top.

seabird17 hours ago

This site is full of people with the west coast VC-driven-tech bizarro world blinders on. If AMD just keeps at what they've been doing well (matching or beating Intel processors) instead of chasing after the latest buzzword grift bubble, they're doomed in the eyes of people with that mindset.

throwway12038516 hours ago

AMD needs to expand the user base of their GPUs away from gaming and desktop graphics. Buying an AI company that is using their stack for compute is a really good way of learning how to do that. It's essentially now an in-house team to dogfood all of your brand new products and tell your other engineering teams what they're doing wrong.

In my mind it's not about AI per se, but about using the hot use case for GPU to drive meaningful change in your software stack. There are tons and tons and tons of GPGPU users out there who aren't training LLMs but who need a high-quality compute stack.

mandevil14 hours ago

I think AMD's concern is that x86 might not be much of a market in 10 years. Between Apple, Amazon Graviton, and Nvidia Grace Hopper's ARM CPU we are seeing a sustained successful attack on x86 the likes of which we haven't seen... ever? Sustained and successful non-x86 Desktops, servers, and next-gen datacenter platforms, where does that leave AMD? (Intel has a little more diversification because of it's foundry opportunities, but is in the same boat.)

light_hue_113 hours ago

> "fix"? What is there to fix? AMD has been simultaneously fighting Intel and Nvidia, two MUCH larger companies, and it's been winning the fight against Intel for close to a decade now.

There's everything to fix. AMD is sitting on a gold mine and is squandering massive amounts of money every month that they don't just get their shitty software stack in order.

AMD could be as rich as NVIDIA. Instead, Lisa Su for some insane reason refuses to build even the most mediocre ML-capable libraries for their GPUs.

If I could ask anyone in the ML world at the moment what the heck they're thinking, it would be her. Nothing makes sense about AMDs actions for years on this topic. If I was the board, I'd be talking about her exit for wasting such an opportunity.

latchkey53 minutes ago

> Instead, Lisa Su for some insane reason refuses to build even the most mediocre ML-capable libraries for their GPUs.

Spending $665m on a company that builds AI tooling, is a refusal?

littlecranky6717 hours ago

I've been thinking that NVDA stock is massively overpriced - yes, AI is a hot topic, but their only advantage is the software stack. It is just a matter of time until Intel and AMD realize that they should join hands and do an open-source CUDA alternative for their respecitve GPUs (yes, Intel has competetive GPUs and just like AMD and Nvidia they will try to get a share of the AI chip market share).

cityofdelusion13 hours ago

Problem is the CUDA advantage is gigantic and it has been known for years in GPGPU processing, way before AI was a meme. AMD has lost countless developers over the year just on hello world style projects. Developers had a solid 6-7 years of living with OpenCL when the green rival had a very mature and nice CUDA sitting there. I’ve been out of that world for a while now, but it was truly painful and turned a lot of devs off programming AMD devices. Now there’s a big moat of entrenched developers that could take decades to displace. It’s like trying to displace C++ with Java 22 — possible, but it’s a slow, slow trudge and everyone still remembers Java 1.4

pjmlp19 minutes ago

While I agree with the sentiment towards CUDA, the example is a bit off, given that C++ basically lost all mindshare in distributed computing, to Java and others, and is hardly visible in CNCF projects landscape.

Displacing C++ in compiler development and HFT/HPC/GPGPU with Java 22, most likely not happening, everwhere else it has been loosing mindshare, the current cybersecurity laws versus WG21 attitude towards them, doesn't help.

YetAnotherNick9 hours ago

No, the amount of code written in CUDA for pytorch could easily be rewritten in CUDA for few million or tens of millions of investment. The problem is that it is damn near impossible to get good performance in AMD. For complicated CUDA programs like flash attention(few 100 lines of code), no amount of developers could write those few 100 lines for AMD to get the same performance.

pzo3 hours ago

Even worse: GPGPU is not only about LLM or even ML. It's also for computer vision, signal processing, pointcloud processing, e.g. Opencv has backend for CUDA, open3d, PCL the same. Even apple is kind of worse than AMD regarding ecosystem of libraries and open source high performance algorithms - when I tried to port some ICP pipeline to apple metal there was nothing there, most libraries and research code target only CUDA

breggles17 hours ago

"AMD is among several companies contributing to the development of an OpenAI-led rival to Cuda, called Triton, which would let AI developers switch more easily between chip providers. Meta, Microsoft and Intel have also worked on Triton."

Last paragraph

singhrac17 hours ago

This is a bit misleading since Triton is a bit higher level than CUDA. But the idea is kind of right - there’s active development of AMD and Intel backends, and Pytorch is investing into Triton as well.

dehrmann15 hours ago

NVDA's moat is over-stated. There are several deep-pocketed players with pretty good AI chips. The big players are training models at such a large scale that they can afford to back them by different architectures. Smaller players use frameworks like Pytorch and Tensorflow, but those are backed by big players buying from Nvidia.

But valuation isn't the NVDA trade right now; it's that there's still a bigger fool.

airstrike17 hours ago

"just" a matter of time... If it were that easy, it would have already been done, or so they say. Also don't forget network effects

nipponese14 hours ago

NVDA P/E ratio 78.70

AMD P/E ratio 263.25

If NVDA is overpriced, AMD is REALLY over-priced.

rubatuga9 hours ago

When you see p/e mentioned in a debate run far away.

swores2 hours ago

I wish people wouldn't post such pointless comments - the only users who get any value from reading your sentence are people who already share your view and can go "hah yeah!", while you couldn't be bothered to explain why it's your view to anyone who doesn't already think the same thing. Literally no benefit over not saying anything. Sorry to be blunt.

hmm3713 hours ago

AMD PE ratio is that high due to their purchase of Xilinx. It's forward PE ratio is much much lower, in the 50s.

drexlspivey11 hours ago

I'm curious, how does the all-stock acquisition that closed 2.5 years ago affect their trailing P/E but not their forward P/E ?

postmeta10 hours ago

pytorch already supports AMD with device=cuda

already opensourced ROCm/HIP

nabla915 hours ago

> Intel has competitive GPUs

No they don't. Both Intel and AMD compare their newest GPU favorably against Nvidia's H100 that has been on the market longer and soon to be replaced and then it's never H100 NVL for a reason.

Intel and AMD can sell their GPU's only with lower profit margin. If they could match FLOPS per total ownership they would sell much better.

Both are years behind.

latchkey15 hours ago

Benchmarks were just run, MI300x is onpar/better than an H100. Next generation of MI (MI325x) is coming out end of the year and those specs look fantastic too. Especially on the all important memory front. 288GB is fantastic.

Both companies will leapfrog each other with new releases. Anyone who believes that there should only be a single vendor for all AI compute will quickly find themselves on the wrong side of history

talldayo14 hours ago

> 288GB is fantastic

This reminds me of those "192GB is fantastic" people that bought maxed-out M2 Ultras for AI inference. It can be awesome, but you need a substantial amount of interconnect bandwidth and powerful enough local compute before it's competitive. In products where AI is an afterthought, you're fighting against much different constraints than just having a lot of high-bandwidth memory.

I've always rooted for Team Red when they made an effort to do things open-source and transparently. They're a good role-model for the rest of the industry, in a certain sense. But I have to make peace with the fact that client-side AI running on my AMD machines isn't happening. Meanwhile, I've been using CUDA, CUDNN, CUBLAS, DLSS, on my Nvidia machine for years. On Linux!

latchkey7 hours ago

This response feels like you could be conflating desktop usage with enterprise compute?

nabla915 hours ago

Comparisons against H100 I have seen are always:

  8x AMD MI300X (192GB, 750W)   
  8x H100 SXM5 (80GB, 700W) 
Never against 8x H100 NVL (188GB, <800W)

What the customer does not see is how AMD must spend 2 times more money to produce a chip that is competitive against architecture that is soon 2 years old.

latchkey15 hours ago

> Never against 8x H100 NVL (188GB, <800W)

Probably because they aren't widely available yet. It is also a dual card to get that much memory, which is still less than 192GB and far less than 288GB.

> What the customer does not see is how AMD must spend 8-10 times more money to produce a chip that is competitive against architecture that is soon 2 years old.


RyanShook17 hours ago

2024 YTD returns: NVDA 172% AMD 27% INTC -30%

cj15 hours ago

Stocks of companies that develop extremely niche and technical things is a tiny sliver of the stock market that I actually think communities like HN would be better at valuing than the market.

Technology stocks are the only ones I personally day trade for that reason. Example: at the beginning of a pandemic lockdowns, any HN user could have anticipated increased internet usage and buy Cloudflare/Fastly stock and made a lot of money before the rest of the market realized that CDN companies will significantly benefit from that specific macro event.

I'm not convinced the market (or market analysts) have a deep understanding of Nividia's long-term advantage. If they did, we would have seen a much slower and steadier valuation increase rather than the meteoric rise. Meteoric stock price rise/fall = the market is having trouble valuing the stock.

In other words, stock prices don't add much to the conversation.

storyinmemo15 hours ago

Intel's profit, and revenue, have declined for 3 consecutive years. Their price to earnings ratio is 36.

Nvidia's revenue is now greater than Intel's with 20% of the employees that Intel has. Their PE ratio is 78, roughly double that of Intel.

The market valued Nvidia as growing and Intel as not.

wmf17 hours ago

They've been working on that for years.

dylan60417 hours ago

Yeah? And? So? As if CUDA was developed overnight and never worked on again. Such a weak comment

zokier16 hours ago

AMD has been working on GPGPU at least as long as nVidia.

AMDs "CTM" SDK was released in 2006, same year as CUDA. In 2007 they released Stream SDK. Then they had "APP SDK" for a while, which iirc coincided with their opencl phase. And now they landed on rocm.

Meanwhile nvidia has kept trucking with just CUDA.

baobabKoodaa17 hours ago

Happy to see this acquisition landing in Finland, but I have to wonder how the purchase price is justified. Silo AI is primarily a consulting company doing "traditional" kinds of AI consulting projects. Their LLM project is like a side hustle for the company.

nicce17 hours ago

Personally, I am bit sad that nothing stays in Finland. Too many promising companies have been sold into foreign countries recently. Just because founders look for exit strategy (not claiming that it is the case here). Not good for Finland in general.

baobabKoodaa17 hours ago

Well, in this case the purchase price appears grossly overpriced. So even though Finland lost an AI startup, it gained money that is worth more than the startup. That money will to a large extent flow back into the Finnish economy in the form of taxes, investment in new startups, etc.

nicce17 hours ago

> That money will to a large extent flow back into the Finnish economy in the form of taxes, investment in new startups, etc.

Short term gains, in terms of taxes.

Otherwise, there are no guarantees for that. Shareholders might just make some castle. Who knows. Or move away to different country.

thenaturalist16 hours ago

> Shareholders might just make some castle.

And then be left with nothing?

Look at Silo's About page.

The people who started this are not slackers or already had so much money before that they could have bought a 3rd Porsche.

Do you think these people will pull back and do nothing as their ability to benefit from and shape the technological advances happening just increases with this exit?

I highly doubt that.

> Or move away to different country.

And then?

Capital is global. And as per these [0] statistics, Finland is ranked 4th for per capita VC money invested in 2018, far ahead of France and Germany.

As per this [1] article from May, Finland received the most private equity and VC investment adjusted for GDP in all of Europe in 2023.

Finland is an attractive country to invest in, and I highly doubt native speakers with an excellent local network - i.e. much more expertise than the average non-Finnish speaking invesotor - will not be aware of that and capitalize on it.



bjornsing15 hours ago

But hats off to Finland for producing these companies. Here in Sweden there’s pretty much nothing in cloud computing or AI, AFAIK.

kakoni14 hours ago

Well in Finland we seem to produce promising "early-stage" companies which are then eagerly sold to bigger players. Vs in Sweden there is will (and capital) to keep growing these.

Ekaros14 hours ago

I'm more so for taking money off the table when possible. Future returns are future returns, they can materialize, but might not.

nicce13 hours ago

But if that happens (almost) every time for a potential company, then you will never likely have successful company in Finland, where the decision making also stays in Finland, and the money benefits the country in larger scale.

There is this saying that "don't sell the cow when you can sell the milk" - maybe there is still some wisdom... but Finland keeps selling the cow and buying the milk back over and over again. And then they wonder why the state of the economy is so sad and they never see "new Nokia".

bee_rider17 hours ago

Looking at their “about” page,

It looks like 300 “AI experts” employed. So I guess they have paid $2M a pop. I’m not sure how to put that into perspective really, though…

throw0101c16 hours ago

> It looks like 300 “AI experts” employed. So I guess they have paid $2M a pop.

What was the per employee acquisition cost of WhatsApp (who had 50 employees, IIRC)?

dghlsakjg16 hours ago

When acquiring a telecommunications network, I suspect that network size (user count) is far more relevant for valuation, if anything, having a low employee count with a massive network like WhatsApp was probably a huge selling point.

_flux18 hours ago

Nice to see AMD finally doing something about competing in the compute market (LLM being the hottest thing at the moment)!

Though apparently MI300X is a fine product as well. But it still needs code.

moffkalast10 hours ago

If they spent the 665M on improving ROCm instead they'd get a hell lot more return on it.

vegabook10 hours ago

This is an indictment of Lisa Su's own ROCm strategy. An implicit admission of failure, without explicitly admitting it. I predict this acquisition will cause even more software schizophreny inside AMD as multiple conflicting teams pinball their way around towards nowhere in particular.

samuell11 hours ago
jacobgorm17 hours ago

This happened after Silo trained an LLM on the AMD-powered LUMI supercomputer.

kakoni12 hours ago

Well actually it was Silo + Turku University's TurkuNLP group [1]


petesergeant17 hours ago

Seems like an excellent exit strategy in hindsight. Spend a gazillion dollars of investor money on AMD hardware, get bought back by AMD because you worked out how to use that hardware

jacobgorm16 hours ago
baobabKoodaa15 hours ago

Where in that source does it claim that Silo didn't have to pay to use the hardware?

jacobgorm12 hours ago
Pandabob16 hours ago

Came here to point this out. Silo never had to invest huge amounts on GPUs. A shrewd move by the founders.

rubatuga15 hours ago

There is debate about public investment into private ventures, but in this case it may provide long term benefits to Finland

petesergeant15 hours ago

Even better!

stefan_7 hours ago

An inverse Nadella, wherein you buy a chunk of OpenAI and they turn around and buy a bunch of Azure time (then give it away to people on ChatGPT cuz ain't no one about making money in that business)

non-e-moose11 hours ago

Former AMD employee here (2007-2012) AMD 'dropped the ball' BADLY when (2012) then-VP Ben Bar-Haim decided to do a software purge, and focused on retaining the over-bureaucratic folks of ATI/Markham. Net result: NVidia was (and did) pick up a lot of very smart researchers and developers from AMD (I know of a couple whom were thoroughly disgusted with AMD management at that time)

He also trashed a lot of good and useful software projects for seemingly protectionist reasons (if it wasn't ATI/Markham, it was dumped)

glzone110 hours ago

Wasn't there a point at which AMD was actually looking at buying nvidia but Jensen wanted to be something like CEO. Jensen actually worked at AMD so there was already a connection there.

Instead AMD bought ATI which if I remember was barely hanging on. Not saying it was a bad purchase, just interesting that a bet on ATI (always had buggy drivers in my experience) which hadn't really demonstrated success ... how decisions ripple for a while.

JonChesterfield8 hours ago

Interesting context, thank you.

pavlov17 hours ago

The economic mood in Finland is downright depressed [1]. This kind of news is therefore extremely welcome because it indicates there's a way forward, out of the old industry doldrums where people are still moaning about closed paper mills and Nokia's failure 15 years ago.

$665M USD isn't a staggering number by Silicon Valley standards, but it's very significant for a nation of five million people that hasn't seen global startup successes like neighboring Sweden with Spotify and others.

[1] The actual level of depression is somewhat hard to track because Finns are always pessimistic regardless of how well they're doing. (This also makes them the happiest people on Earth in polls. The situation right now is never quite as bad as one had expected beforehand, so when a pollster calls to ask, the conclusion must be that they're pretty happy with things overall at that specific moment, but surely everything is going in the wrong direction anyway.)

SebaSeba17 hours ago

Contrary to what you say, Finnish startups have been very successful. Here's just a couple examples:

- Supercell sold 81.4% stake to Tencent in 2018 with a valuation of $10.2 billion.

- Wolt was acquired by DoorDash in 2021 with a valuation of $8.1 billion.

The list is much longer with startups that currently generate revenues of tens or hundreds of millions in a year that have not been sold.

pavlov16 hours ago

These two are great success stories, but they’re also the only Finnish unicorn exits in the post-Nokia era.

The exits were somewhat less exciting to founders than these numbers suggest. Supercell sold 51% to SoftBank already in 2013 for 1.1B EUR. And Wolt’s purchase price was paid entirely in DoorDash stock which was down 75% by the time the lockups expired.

Startups generating low-hundreds of millions in annual revenue just aren’t unicorns anymore, unless they happen to be AI.

SebaSeba12 hours ago

Both Supercell and Wolt have their headquarters steadily in Finland. The founders and Finnish early investors have gained hundreds of millions or billions of euros wealth for themselves which they have further spended and invested in Finland. They have paid huge amounts of taxes and keep on doing all of these since they are still located in Finland. It's hard to downplay the value of those IMO. Overall Rovio wasn't a complete disaster either. First made billions of euros for many years and was later sold to Sega for >$700 million. Still has HQ in Finland.

There's plenty of interesting and fast growing startups still left here. For example Supermetrics, Varjo, Smartly, Iceye, Aiven to name a few. IMO you are being pessimistic.

SebaSeba12 hours ago

In any case, I agree in that the acquisition is great news and the economy is in a depression. :) Huge part of it is because Finnish mortgages are mostly straight tied to Euribor unlike in other Euro countries and since post covid the interest rates went up, Finns got f*cked. Hopefully the Euribor interest rate will be going down and the mortgages will start to become smaller, at least when they are being paid off.

thenaturalist16 hours ago

In 2023, Finland has received the highest investment of private equity and VC adjusted for GDP in all of Europe:

pavlov16 hours ago

Which is great, but doesn’t move the needle of popular perception the same way as large acquisitions and IPOs do.

The start of the startup investment pipeline in Finland has been flowing pretty well. The outputs at the end of the pipeline have been more questionable. Silo’s acquisition is a positive example of activity at that end.

mindcrime13 hours ago

I don't know how this specific acquisition is going to work out, but at least we can say one thing. This represents some kind of response to the constant chorus of "AMD don't appreciate the importance of software. AMD should invest more in software. CUDA, CUDA, CUDA" comments that one always hears when AMD is mentioned.

Of course there's room to debate the details here: would they have, perhaps, been better off investing that money in their existing software team(s)? Or spinning up (a) new team(s) from scatch? Who's to say. But at least it show some intention on their behalf to beef up their software stance, and generally speaking that feels like a positive step to me.

But then again, I'm an AMD fan boi who is invested in the ROCm ecosystem, so I'm not entirely unbiased. But I think the overall point stands, regardless of that.

AlotOfReading13 hours ago

AMD has also been doing a bunch of hiring for their software teams. I've seen a few colleagues that AMD previously couldn't have afforded accept offers to work on GPU stuff.

viewtransform11 hours ago

Look on the AMD careers website. There are a lot of software jobs related to AI and the pay has gone upto 300K/yr (in Santa Clara) .

high_na_euv18 hours ago

What are they going to give AMD that they are priced this high?

thenaturalist18 hours ago

Expert talent and prob some in house tech.

Mainly talent I guess which they can put to accelerating Triton development, their alternative to CUDA.

duxup18 hours ago

Does the desirable talent in this case have equity / future vesting equity that is a part of the price?

I just wonder as many decades ago I was a part of a company who wanted to get into a market, they bought a little start up, and over the course of a year everyone quit, and the project eventually folded entirely ;) It was sorta hilarious, but also bizarre that the acquiring company didn't think of that.

thenaturalist18 hours ago

I mean buying a "private AI lab" doesn't sound to me like they have the purchase price worth in IP which is so desirable nobody else has unlocked it and it lends itself particularly well to being integrated with AMD tech?

Let's see if more details come to light, but a good part of that price is spent for sure on people.

It'd be hilarious indeed if they wouldn't be able to or haven't properly incentivized them to retain them.

stanleykm16 hours ago

Did you mean ROCm? afaik Triton is a python framework that sits on top of CUDA and ROCm.

Aaronstotle18 hours ago

This and the MI300x makes me hopeful for AMD

latchkey17 hours ago

It really is a fantastic piece of hardware. We just need the software to catch up.

dotnet0017 hours ago

Which tbf has been an apt description of AMD GPUs for the better part of a decade. Great hardware, god awful software and even worse long term software strategy.

It's why the 'fine wine' spin on the long term performance of AMD GPUs exists in gaming circles.

latchkey15 hours ago

You're totally right. That said, spending $665m on an AI company seems, at first glance, like a step in the right direction. I'm sure there are a 1000 ways they could have spent that much money, but hey... I do appreciate them at least trying to do something to resolve the issue. Another way to think of it is that now there is a whole team that isn't dedicated to nvidia.

dotnet0015 hours ago

Yeah I'm not arguing against this acquisition, just commenting on how things have been so far. At this point I'm kind of apathetic, it's good if whatever they do eventually leads them to fixing their software woes, and I'll come back to their stuff then. If not, I'm fine with sticking to CUDA for now.

Ultimately they're all GPU programming languages, once you're good with one, switching to another one is not that hard (as long as the supporting software is good of course).

daghamm18 hours ago

Since FT is paywalled and the press release link from Silo is currently pointig to nowhere:

I've no idea what is going on. This is 5 times bigger than their combined AI acquisitions in the last 12 months. The only link between Silo and AMD is that Silo has been using an AMD accelerator cluster for training.

cooper_ganglia18 hours ago

I honestly don't understand how paywalled links get so much traction, most people probably can't even engage with the material. Thanks for the direct link to Silo AI's press release!

idunnoman122215 hours ago

Because everyone knows how to use

thenaturalist18 hours ago

See @helsinkiandrews comment, he posted the de-paywalled link:

YinLuck-14 hours ago


jenny22444 hours ago

The US is leading in terms of AI. But China is fast chasing behind the US. What danger does this portend for humanity?

getcrunk13 hours ago

I’m still pissed they finally brought rocm support to their Gpgus on windows starting with the 6800xt … I have the 6700xt

woadwarrior0118 hours ago

Looks like a consulting company[1] at first glance. Also, empty HuggingFace account[2].

[1]: [2]:

anewhnaccount218 hours ago

The models are here:

baobabKoodaa17 hours ago

Who is downvoting this? You are correct. Silo.AI is a consulting company with an LLM side hustle. This acquisition is weird.

m3kw916 hours ago

Looks like they have expertise in using AMD gpus to train LLMs and will be tasked to catch up to cuda

wantsanagent17 hours ago

I'm curious how this deal happened. There are a lot of LLM shops out there, how did this nordic co get the attention of AMD and why did they think this co stood out among the crowd.

samuell9 hours ago

They've been around since before the LLM era? (I learned about them in 2018)

m3kw916 hours ago

They had their team use AMD to train LLMs

yoouareperfect13 hours ago

If AMD and Intel team up on soft to replace CUDA, then I'm selling all my NVDA stock and even shorting it short term

machinekob13 hours ago

They tried SYCL and no one is using it

ColonelPhantom7 hours ago

SYCL also doesn't meet the listed requirement of 'Intel and AMD teaming up'. Intel seems to be the only hardware vendor to actually care about SYCL, and AMD is instead backing HIP which is 'standardized' but boils down to 'just take cuda and run :s/cu/hip/g'.

If AMD were to work on SYCL tooling and, say, build a 'syclcc' next to 'hipcc' that ingested SYCL to run it on ROCm, I feel like interest in SYCL could potentially grow, since Intel is supporting it properly already and it would be actually a cross-vendor standard.

Codeplay (which is part of Intel) does provide 'plugins' to run oneAPI (SYCL) on NVIDIA and AMD hardware, which is great but is still being made, indirectly, by Intel, who in the end want to sell Intel hardware.

Workaccount218 hours ago

Imagine AMD simply put that $665M into tooling and driver development. The stock probably would have doubled.

thenaturalist18 hours ago

What's the difference to what they did in this acquisition?

Who's gonna improve tooling and develop drivers?

PhD level AI experts such as employed by Silo AI, probably, right?

EDIT: For context [0], Nvidia invested billions into CUDA development way back when it was unsexy.

Clearly a second mover won't need that much, Nvidia proved the market.

But a billion doesn't seem like a large sum for the potential upside of AMD catching a significantly larger share of the budget going into AI - many times the value of this acquisition.


Workaccount217 hours ago

Perhaps their goal is to develop an LLM and then prompt it to fix ROCm.

duxup18 hours ago

I always wonder about these thought experiments. Given a few good talented people and good management ... you'd think they'd be able to put a team together, but maybe talent in this area is few / far between?

To be clear, i'm not disagreeing, I really don't know, but yeah $665M, could do a lot with that.

short_sells_poo17 hours ago

You are basically paying some premium for the fact that someone already did the hiring and built the talent pool and a cohesive team. Doing that from scratch is a multi-year project, so they basically bought a shortcut.

duxup16 hours ago

Yeah I get the general idea that you're paying more for the assembled team and software / experience.

It's just always wonky as acquisitions generally don't seem to be 100% known quantities / outcomes. People paying big premiums for what sometimes turn out to be nothing.

That package of talent and etc is handy, but also seems like sometimes it makes it harder to really know what you'll get out of it. It's an interesting dynamic.

speed_spread17 hours ago

The org structure and culture dynamics of large companies like AMD makes it very difficult to achieve quality results when starting from scratch. 665M$ might well have been too much money, putting too much pressure for results for anything valuable to emerge. A 665M$ acquisition means they know exactly what they are getting, and they are getting it _now_.

mistrial917 hours ago

also note they paid in cash.. usually a premium in itself.

petesergeant17 hours ago

> Imagine AMD simply put that $665M into tooling and driver development

Feels like a company saying they're going to "spend a few weeks paying down tech debt", which generally amounts to nothing getting done. Progress happens in creative pursuit of another goal and with hard constraints, in my experience. You can fix a specific piece of tech debt while working on a product feature that's adjacent to it, and you can create some great tooling and drivers while working on a product that needs them, but just setting aside the money for greenfield development often/usually ends up with it being set alight. I have worked at least one very well-funded place where the lack of product focus and thus lack of any constraints has just led to endless wheel spinning under the guise of "research".

trhway13 hours ago

$2M/head. That is a steal, even by European standards.

"In July 2024, Silo AI has 300+ employees out of which 125+ hold a PhD degree."

nashashmi10 hours ago

Amd once bought an ARM server manufacturer. It went down the tubes. I don’t think this will work either.

hmaxwell15 hours ago

This is a nothing burger compared to amazon and google giving $4b and $2b respectively to Anthropic

hi18 hours ago

Anyone know a timeline for AMD on MLPerf?

latchkey17 hours ago

It won't be for a while. It really takes someone to focus on this and it isn't just AMD. The team at MLPerf will need to step in as well and from my discussions with them, they are busy enough as it is with their own goals.

My company, Hot Aisle, has a box of mi300x (soon to be +16 more) that we have dedicated as a free resource to unbiased benchmarking. That's instigated articles like the Chips & Cheese one and the Nscale Elio post...

georgehotz17 hours ago

AMD is already on MLPerf in the form of the tinybox red :)

latchkey57 minutes ago

Now do #mi300x. I've already offered you the compute resources, but you called me an AMD shill, lol... pot kettle... ¯\_(ツ)_/¯

Kelteseth15 hours ago

They should have bought tiny for 600 million ;)

lopkeny12ko17 hours ago

Wow. I hope this is blocked by the DoJ on antitrust grounds.

duxup16 hours ago

Arguably as far as anti trust grounds go wouldn't AMD being a more viable competitor in the AI space be ... good?

bot004714 hours ago

If nVidia is IBM then AMD could be the next Microsoft.

uptownfunk15 hours ago

Smells fishy anti trust