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Memory has grown to nearly two-thirds of AI chip component costs

https://epoch.ai/data-insights/ai-chip-component-cost-shares
52•intelkishan•1h ago

Comments

slicktux•34m ago
I bought 96GB of RAM a couple of years ago for ~$250. That same RAM now costs $1200!
ksec•13m ago
It is one of the thing with consumer when they remember they brought it at the absolutely lowest price point when DRAM maker were bleeding money.

Those are not normal pricing. Before the pricing collapse in early 2020, 96GB DDR5 would have cost about $450 to $500. And I will need to restate again the cost of DRAM hasn't really changed much in the past 20 years. Its price just goes up and down in cycles.

So in reality it is more like going from $500 to $1300. But consumer felt it was more like going from $200 to $1300.

Crucial are already selling DRAM made by CXMT. And China are already throwing money at it. I doubt the memory bubble will burst in next 12-24 months. As in going back to money losing DRAM pricing. As they will all pivot to HBM or other money making products. But the bulk of lower end consumer DDR5 or LPDDR5 will goes to Chinese Foundry. Assuming they have figure out how to do them well. Which they have improved but are still so far away from industry leaders.

Normally memory maker will push the next DDR standard to market just to push out Chinese competitors, I am not sure it will work the same this time around. DDR5 have plenty of other usage / demands.

DoctorOetker•8m ago
> Crucial are already selling DRAM made by CXMT.

Crucial was disestablished this year.

voxic11•5m ago
He probably meant Corsair which is the DRAM brand selling CXMT produced chips.
positron26•32m ago
The algorithm advances are going to crash this so hard.
Coffeewine•30m ago
I mean, god willing, but it'll be just as likely that we'll blissfully consume 100 million token contexts in that case.
iamtheworstdev•28m ago
isn't there a law for that? as things become cheaper you consume more?
loloquwowndueo•26m ago
Jevons paradox.

https://en.wikipedia.org/wiki/Jevons_paradox

sidhantdhar•26m ago
jevons paradox
simonw•26m ago
Jevons paradox: https://en.wikipedia.org/wiki/Jevons_paradox
sobellian•14m ago
You're probably thinking about jevons paradox. But you slightly mis-stated. It is the phenomenon that increasing the efficiency of resource consumption can end up increasing total consumption.

As you stated it, it would merely be a property of (nearly) all demand curves. Jevons paradox only happens sometimes. It isn't a law.

Legend2440•23m ago
Or will more efficient algorithms just mean we run even more AI models, increasing the demand for AI chips even more?
oceansky•28m ago
Awful time for gamers and PC hobbyists not fully into AI.
lacunary•23m ago
also for ones fully into AI
deadbabe•28m ago
Here’s the thing, what if memory manufacturers take this opportunity to collude and basically never reduce the price of memory below the current levels since it’s too hard for a new competitor to just rise up and undercut them? Everything I hear about is how hard and risky it is to spin up a new fab.

And by doing this, they ensure local LLMs never become feasible for the vast majority of people and AI companies solidify subscriptions forever.

aurareturn•20m ago
Keeping prices at this level is precisely how one or more competitor will rise up. Making memory isn’t super hard. That’s why it is a commodity. The problem with the memory market is that up and down cycles have bankrupted the vast majority of players in the past. Now we only have 3 players left except for a few smaller ones in China.

The reason memory prices can stay high for years in this mega cycle is because the 3 players will be very cautious on overbuilding. They’d rather under build, make great profit (not maximum) and reduce the risk of going bust if this suddenly ends.

Same for TSMC in chips.

Great opportunity for Chinese companies though. This shortage is exactly what Chinese companies need to scale.

jazzyjackson•17m ago
> up and down cycles have bankrupted the vast majority of players in the past

Exactly, so what’s the incentive for anyone to sink half a billy into building out more capacity.

The existing players get to rest on their laurels and succeed whether or not the AI bubble busts.

aurareturn•13m ago
The incentive is that your 2 competitors will build more than you and gain market share on you if you are too conservative.

Samsung, SK Hynix, and Micron all have to balance between capex spending, making as much profit as possible, and risk of bankruptcy.

jtbayly•6m ago
When costs are high enough, you can recoup that, if you have an appetite for risking the downturn.
dymk•9m ago
> Making memory isn’t super hard.

Then why do only 3 companies make it?

aurareturn•5m ago
Bankruptcy risks.
dymk•3m ago
...And why do they go bankrupt?

Because it's an incredibly capital intensive process, involving billions of dollars of investment into manufacturing infrastructure.

That is to say, making memory is quite hard.

DoctorOetker•3m ago
Making the memory can be much easier than predicting future demand.

Placing the bet isn't as hard as making an accurate prediction.

shaky-carrousel•18m ago
Then China will come and eat their lunch. I for one will only buy Chinese RAM from now on, no matter the prices.
stavros•17m ago
Then that's a cartel and hopefully regulators will act.
deadbabe•14m ago
They won’t.
aurareturn•8m ago
They will. DOJ prosecuted memory makers in the late 90s and 2000s for collusion.

This boom is magnitudes higher than before. The attention will be endless.

deadbabe•2m ago
Current DOJ is corrupt as fuck, it will not happen. Get back to reality.
YetAnotherNick•14m ago
If the collude to say make the price $1000 for a component that costs them $100(including opportunity costs), then either a new company or a greedy company in the collusion can make their price secretly $900 and get massively more profit.

Right now their opportunity cost is too high.

> risky it is to spin up a new fab

You don't need a new fab. You can build memory in 20 years old fab.

elorant•26m ago
Bought a second hand Dell server a week ago. The entire rig with a 12-core CPU and 32GB DDR4 ecc RAM cost as much as I'd pay to buy 64 GB of DDR RAM alone. I hope there's an end to this absurdity soon enough otherwise the pain will affect other markets too. I read the other day that PC case sales have collapsed by more than 40%.
MrGilbert•17m ago
I assume that memory manufacturers don’t really care where the money is coming from, as long as the "numbers go up" game is working.

NVIDIA in their recent quarterly report stopped categorizing "Geforce" as a single category, and merged it into "Edge-Computing".

If you are a PC Gamer or PC Enthusiast as I am, then we have some dark times ahead.

reactordev•14m ago
Do we though? DLSS 5 changes that somewhat from a “we need powah” to “we need models”. I think the future consumer GPU market will be tuned for image and world inference while workstation cards will be tuned for image and video inference. The old way of thinking about this will come to an end when we stop looking at the render loop as the be-all-end-all…

Or, we could be fucked.

amazingamazing•17m ago
A commodity rapidly increasing in price. What could go wrong?
KronisLV•16m ago
I'm not moving past my DDR4 build (and the 32 GB of DDR4 2133 MHz backup chips I still have around from way back, before I got the current 3200 MHz ones) until the prices go back to being at least partially sane. This also means that CPU manufacturers are not getting my money (since the 5800X is fine for now) and I have no reason to get a new GPU either (though admittedly the B580 isn't perfect).
brcmthrowaway•14m ago
Anyone invested in Micron stock?
DoctorOetker•11m ago
It's still unclear to me: the shortage is semiconductor boules / wafers? or the shortage is semiconductor fab process step availability?

As long as the discussion seems focused on memory, I'd suspect the latter, but if its really the semiconductor boules/wafers, then I'd expect the boule growers to profit, not the memory makers, who just pass on the cost.

So which is it?

AnotherGoodName•4m ago
It’s fab capacity. Fwiw dram is different enough that fabs are not transferable between dram memory and other usages. It’s nice to think ‘wow if they made the current 10nm dram on the latest 2nm processes it’d be much faster’ but it doesn’t work that way. The specific size is needed for the capacitance. Sram can be made on fabs that make other circuitry since it’s transistor not capacitor based but is less dense.

Dram is just extremely specialised.

Legend2440•11m ago
I wonder why the hyperscalers aren't vertically integrating more and building their own fabs. Sure, a fab costs a billion dollars, but they're currently spending hundreds of billions of dollars purchasing chips from NVidia and others.
skiing_crawling•9m ago
I recently built a system at insane ddr4 prices ($2000 for 256gb). But that’s only after seeing how ddr5 prices were 3-4x that!
TheGrassyKnoll•5m ago
I wish I had figured that out a year ago. MU up ~10x, SNDK up ~37x. My crystal ball is woefully under performing.
chvid•4m ago
Time to let ASML sell to the Chinese memory producers … or not.
mchusma•4m ago
Everything I read seems to suggest that RAM capacity is going to grow at 20-25% a year, which just doesn't seem good enough. Even in consumer use cases, phones and laptops would benefit greatly by double the amount of RAM. And then obviously, the AI need is gigantic.

I don't see it going away. I mean, it may not grow as fast as now, but I don't see it growing away either. I get why the memory makers do not want to bankrupt themselves, but it feels like there's got to be some way to push that risk off onto model providers and other people in the ecosystem to allow us to grow ram capacity more like 50% per year.

Traubenfuchs•2m ago
Why did this happen so suddenly?

Why were tech savy investors unable to figure this out when the datacenter craze had already started?

How to explain this lag between quickly rising demand for all datacenter components besides memory?

Memory has grown to nearly two-thirds of AI chip component costs

https://epoch.ai/data-insights/ai-chip-component-cost-shares
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