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GPU prices are bound to fall, AI training costs likely to drop

This was always going to happen sooner or later. Even if it turns out the Chinese competitor is a combination of smoke, mirrors and stolen code, I doubt the AI madness of the last year or so will resume as it was.
 

If true, the AI bubble is going to deflate soon at least for needed GPU horsepower.
In simple terms, if datacenter GPU demand drops the consumer segment will increase its relative importance and will have less competition from higher margin products.

Now let's see if they can pull another trick from the leather jacket sleeves...


Nvidia's share price has started to reverse the losses

Investors are realising it's not as bad as it seems, or at least it makes sense to wait for info.

Deepseek claims their R1 AI model cost $6 million to build, but the problem is they used to be a crypto mining company and already have acccess to 50,000 A100 GPUs.

If I was to go buy 50,000 A100 GPus today, it would cost me approximately $1 billion USD. So this $6 million claim is dubious
 
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Nvidia's share price has started to reverse the losses

Investors are realising it's not as bad as it seems, or at least it makes sense to wait for info.

Deepseek claims their R1 AI model cost $6 million to build, but the problem is they used to be a crypto mining company and already have acccess to 50,000 A100 GPUs.

If I was to go buy 50,000 A100 GPus today, it would cost me approximately $1 billion USD. So this $6 million claim is dubious
You need to get them at Jensen MSRP, not OCUK MSRP.
 
Nvidia's share price has started to reverse the losses

Investors are realising it's not as bad as it seems, or at least it makes sense to wait for info.

Deepseek claims their R1 AI model cost $6 million to build, but the problem is they used to be a crypto mining company and already have acccess to 50,000 A100 GPUs.

If I was to go buy 50,000 A100 GPus today, it would cost me approximately $1 billion USD. So this $6 million claim is dubious
We willl see, as consumers lower datacenter demand could be beneficial, unless of course the next bubble (digital twins) will raise sooner than expected, but that shouldn't be as impactful.
 
We willl see, as consumers lower datacenter demand could be beneficial, unless of course the next bubble (digital twins) will raise sooner than expected, but that shouldn't be as impactful.
Demand won’t drop, especially since most consumers are these multi-billion dollar companies.

I have numerous gripes over all the AI BS that gets rammed down our throats, but there is value, especially when more targeted demand is identified.

What might affect Nvidia is when other companies get their own chips and libraries built.
 
Demand won’t drop, especially since most consumers are these multi-billion dollar companies.

I have numerous gripes over all the AI BS that gets rammed down our throats, but there is value, especially when more targeted demand is identified.

What might affect Nvidia is when other companies get their own chips and libraries built.
If training costs fall because you suddenly need half or less of the projected GPUs then billion dollar companies WILL lower demand.
You don't grow without being ruthlessly efficient about cutting costs first.
 
Nvidia down 17% at the moment today. Oooof
giphy.gif
 

If true, the AI bubble is going to deflate soon at least for needed GPU horsepower.
In simple terms, if datacenter GPU demand drops the consumer segment will increase its relative importance and will have less competition from higher margin products.

Now let's see if they can pull another trick from the leather jacket sleeves...
They all switch to buying the cheaper gaming cards rather than the 40k enterprise GPUs.
 
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Except it's a startup and not a government project.
From what I read it's a team of quants who moved from crypto to LLM and focused on training efficiency to reuse the hardware they already had laying around.

But even if it's with chinese gov subsidies as long as it takes demand away from datacenter GPUs it's a good news for us.
And have you seen how it responds in their app to questions about Chinese president etc.? :) It's 100% gov. thing, even in the West adhering to all Chinese legal requirements and their official gov. policies. That said, even if it requires less computational power, it'll just see wider used but not less data centres hardware used - as in, it could actually be profitable as currently the whole AI industry is driving on hype and not profit. Aside NVIDIA everyone else is losing a ton of monies, including OpenAI, because it's just too expensive to run currently.
 
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If training costs fall because you suddenly need half or less of the projected GPUs then billion dollar companies WILL lower demand.
You don't grow without being ruthlessly efficient about cutting costs first.
Yea but there’s no proof that that is the case, and it’s unlikely that some “tiny” Chinese company with almost no info, has miraculously halved hardware requirements.

What’s been discussed is that Deepseek uses a different approach. It’s cheaper to train because they’re doing less training, but it’s more expensive to query as it has a heavier thinking cycle.

Still way too early to draw any real conclusions.
 
If anything I'm surprised it's a Chinese company. Their tech companies are usually renound for putting out large claims then delivering a shart, seems this might be different.


It's funny how Nvidia's share price crashed before anyone has had a chance to actually test and reproduce the "trained on only 6 million USD cost" model by DeepSeek.

Nvidia share prices: Pumped by hype, Dumped by fear
 
Not sure how genuine the Chinese claim is. Apparently they were running it on un-licenced nvidia hardware and some of the answers it gives are identical to ChatGPT and other seem tailored (for political reasons) lol. So businesses aren't going to trust it.

Nvidia isn't going to stay low, this is only one part of their business. Good time to buy if anything.
 
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Nvidia has released a statement

DeepSeek are violating first law of Huang. The only way savings can be achieved is by buying more Nvidia GPUs

That's brilliant :) First law of Huang - more you buy, more you save :)
Not sure how genuine the Chinese claim is. Apparently they were running it on un-licenced nvidia hardware and some of the answers it gives are identical to ChatGPT and other seem tailored (for political reasons), so aren't accurate answers lol

Nvidia isn't going to stay low, this is only one part of their business. Good time to buy if anything.
I wont be surprised if deepseek in a background asking chatgpt and then send answer back to user :)
 
That's brilliant :) First law of Huang - more you buy, more you save :)

I wont be surprised if deepseek in a background asking chatgpt and then send answer back to user :)
That’s what that stupid rabbit thing was doing. Just a cheap Android phone hooked up to ChatGPT.
 
GPU prices won't fall because profit margins are too low


Keep in mind those are referring to profit margins for AIB partner companies like MSI and Zotac, not Nvidia themselves.
Nvidia didn't become a trillion dollar company by running low profit margins.

Tiny violin gif springs to mind.
giphy.gif
 
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