One unit of HBM capacity consumes roughly the wafer capacity that could have produced three units of DDR5 capacity. HBM dies need to be larger than ordinary DRAM dies because of how the final packaging works.
> As discussed previously, the ramp of HBM production will constrain industry supply growth in non-HBM products. Industrywide, HBM3E consumes approximately three times the wafer supply as D5 to produce a given number of bits in the same technology node. With increased performance and packaging complexity, across the industry, we expect this trade ratio for HBM4 to be even higher than the trade ratio for HBM3E. We anticipate strong HBM demand due to AI, combined with increasing silicon intensity of the HBM roadmap, to contribute to tight supply conditions for DRAM across all end markets. As the memory industry is still recovering from the challenging environment in 2023, this tight supply environment will help drive the considerable improvements in profitability and ROI (return on investment) that are needed to enable the investments required to support future growth.
>As the memory industry is still recovering from the challenging environment in 2023, this tight supply environment will help drive the considerable improvements in profitability and ROI (return on investment) that are needed to enable the investments required to support future growth.
The problem is that they need actual chips tomorrow. I fear we are reaching the point in the semiconductor industry where, in order to sustain the revenue growth propping up their valuations, they're going to have to start selling future chips that cannot possibly be physically produced.
The problem isn't the price. No matter how much you pay, you can't take delivery of a chip that doesn't exist. Now, you could raise prices to the point where you destroy demand. But that's a tricky window to maneuver through.
If there is demand for N chips at $X price, but you only have N/2 chips, then half the people aren't going to be able to buy them. The people who really need the chips, and would be willing to pay a lot more than $X for them, will be competing with people who are only willing to pay $X for them. You will end up getting scalping and shortages and hoarding. Since people know that there are enough people willing to pay a higher price, everyone will try to buy them at $X, even if they don't need them at all. Just buy them at $X, and immediately sell it to one of those companies willing to pay a lot more.
The market is extremely inefficient... since the manufacturer isn't charging enough, you get way too many people trying to buy them from the manufacturer.
So you find the price where the demand is N/2 chips, and everyone who is willing to pay that much will get one, and there is no profit for scalpers so the only people who will buy them will be actual companies that need them.
> The people who really need the chips, and would be willing to pay a lot more than $X for them, will be competing with people who are only willing to pay $X for them.
If there was an Ozempic shortage tomorrow, it's not the morbidly obese people who "really need" it who would be getting it, it would be the Hollywood A-listers who need to drop 4 pounds for their next movie, or the billionaire who's feeling a little tubby. Price is a good allocation system, but it's important to recognize that it's not a mechanism for attaining some kind of ethically "best" allocation.
If demand outpaces supply then there’s a shortage no matter what you do.
I don’t believe scalpers are an issue in B2B; these aren’t concert tickets being sold to the general public.
It’s clear you grasp the economic theory as it’s taught, but my comment was meant for you to question it. If someone is hungry you can charge more for food. The market allows and encourages it. But don’t mistake that for “willingness” and don’t mistake raising the prices purely to get extra money from the exchange as some inevitable law of the universe. You’re welcome to love the concept, but don’t whitewash it.
> If demand outpaces supply then there’s a shortage no matter what you do.
Demand is elastic. If the price of potatoes rises to $1000 / kg most people will switch to using pasta or rice for their dinner instead. There might be a shortage of potatoes at $1 / kg, but not at $1000 / kg.
If my 7-year-old computer were to die tomorrow I would've normally replace the entire thing. It has had a good life, the newer generations of hardware are a decent bunch faster, and it would be nice to get some additional features. With current RAM prices? No way I can afford to upgrade to DDR5, I'll have to get a replacement AM4 motherboard / CPU to fix it.
> I don’t believe scalpers are an issue in B2B
They are called "speculators". DRAM is a commodity and is traded no different from, say, potatoes. It's why there are companies like DRAMeXchange. DRAM module assemblers like Kingston, G.Skill, and Corsair will buy chips from whoever gives them the best deal. Similarly, anyone assembling hardware using DRAM will have stockpiled it when the AI boom became noticeable - with some almost certainly selling it off now that it has become too valuable to use for cheaper products.
I just did exactly that. I had an old i7 with 64GB of DDR4 that I bought when it was cheap. DDR5 was so expensive I just bought an AM4 and moved the RAM over.
My MacBook is showing its age, though. Hearing that 2027 wont be any better makes me hopeful all the vibe coders can ask for memory efficient implementations to stretch existing hardware a little further.
When demand exceeds supply you have two options: make the people who value those goods the highest compete with each other to pay the natural market price for them, or have a lottery with price ceilings. Price ceilings create inefficiency, and they create black markets.
In a lottery, the goods are misallocated to a bunch of people who aren't getting the most value out of the goods, creating economic inefficiency. A bunch of GPUs would be sitting in warehouses waiting to be resold (either when the price goes up, or in the inevitable black market), or in my basement screwing around with them, instead of being deployed in a way that the most people can benefit from creating maximum economic value from their deployment.
Your gaming PC isn't as economically valuable as JPMorgan using AI for fraud detection, for example.
Moreover, if you are appointed god and force everyone to sell GPUs at one dollar just because you want cheap GPUs, then this is the last batch of GPUs that will ever be produced and you'll have a shortage until the end ot time.
It is the other way around, When people want something they are willing to pay more for it. The manufacturer wants to sell to the person that will pay the most. While the person wants to buy from the manufacturer that charges the least. As such when the manufacturing capacity is below demand the price goes up until the item is worth what people will pay for it(at large, statistically, it works like an auction). The promise of capitalism is that as the price goes up it should incentivize manufacturing capacity to go up and as the capacity meets demand and the manufactures start to fight each other to be the one to sell the item the price goes down.
Thank you for taking the time and effort to provide a clear explanation. I’m familiar with supply and demand though. My emphasis was on “must” as a lazy protest against greed being considered a mandatory part of capitalism. Prices don’t have to go up, someone just wants more money.
If you happily sell apples for $1 and see a hungry person walking towards you, must you raise the price?
I think that basic thought gets lost sometimes when people talk about shortages causing the price to increase. The shortage didn’t cause anything, some executive decided they want more money. That’s all. There’s nothing inherent in the system that requires it. Whether that’s OK or not is up to the reader, I just think people lose sight of the reality and talk about it like it’s gravity, rather than simple decision making.
I don’t understand how there being essentially unlimited demand for their products that far exceeds supply and is driving up prices accordingly is somehow a bad sign for the industry?
> Now, you could raise prices to the point where you destroy demand.
You know supply and demand is like a curve right, you can find an optimal equilibrium? It’s not a cliff that you can fall off.
"Demand destruction" doesn't literally mean all demand is destroyed; it refers to the demand curve you reference. But as a sibling commenter notes, real business is rarely as clean as an econ textbook. In the real world, a supplier can contract to supply more units than they can actually produce. Their customers rely on the representation to make other related deals. And of course, the supplier can book the contracted revenue, causing investors to rely on the forward sales. They can't raise the price at that point, it's fixed in the contract. So if it turns out they physically can't deliver when the time comes, some number of the deals have to be blown up, causing related deals to blow up, etc., etc. That is the risk I was referring to.
> The problem isn't the price. No matter how much you pay, you can't take delivery of a chip that doesn't exist
I’m confused because this reads like a denial of basic economics. If the price is high enough, the chip will be produced for you.
Do you mean because of the production lead time, higher prices won’t result in increased production? Commodities like corn have been managing this for a long time… what’s special about chips?
Nontrivial markets don't behave like Economics 101 textbook examples.
Samsung, SK Hynix, and Micron have a combined market share of 90% - with most of the rest being a very new-to-the-market CXMT. It is a cutthroat market which behaves like a stereotypical "pork cycle". Semiconductor fabs cost billions to build and take years to complete, so you better be damn sure you have buyers before you start constructing one. You and your competition overestimated the demand? You have to pay back the construction cost, so you're now in a race to the bottom and one of you is going bankrupt.
Ever wondered where Intel came from? They started out as a DRAM manufacturer, which dominated their revenue well after the introduction of their first microprocessors. But in the early 1980s the glut of supply from new Japanese manufacturers made it so unprofitable that they had to ditch the memory market altogether. The stories of Texas Instruments and Motorola aren't much different. And that's not even mentioning the likes of Mostek, which once held a 85% market share and was dead less than 5 years later! Oh, and those Japanese manufacturers? All gone, pivoted like Intel or died like Mostek.
So no, the three remaining DRAM manufacturers aren't going behave like headless chickens and start ordering new fabs just because there's a bubble causing a temporary demand peak. Unless those AI companies are going to pay in advance, in cash, for an entire fab, they'll just have to wait and deal with the price increase.
Corn is heavily subsidized,also has (in the US) federally prvided insurance programs against plunging prices, has paid uselessness(ethanol). Despite all of this corn has caused massive agriculture bankruptcy/takeover when it has failed anyway.
So it's more "what's special about corn". It is also fairly hilarious to claim the parent is denying basic economics and then bring up corn as an example of having successfully managed economics. If the scales were not being thumbed, and "basic economics" were in play, corn would be in very very bad shape.
In the case of DRAM, there is an incredibly long history of these gloom/glut cycles, and they have stayed roughly the same timeframes (~3 years) since the 1990's.
Almost all the ones who have survived this long are either in the same kind of boat as corn - protected in various forms from the downside - or don't increase production and get caught out until they are absoultely forced.
The very temporarily increased profit is not worth going bankrupt for - they make more money long term by being very cautious and know this.
There are a near infinite number of economic studies you could look at (and several sibling comments cite some) - DRAM manufactuers don't chase the price and probably couldn't anymore if they want to.
None of this denies basic economic theory, of course, since economic theory is not exactly "rigorous", even to the degree it could be (IE even the parts that are pure analysis of data rarely reproduce!).
The problem is that is speculation and the market barriers are currently too high for losing business to be a threat. The two outcomes are (1) you overbuild, you end being wrong, you go bankrupt and lose everything or (2) you are right, but since you didn't overbuild, you lost out on some revenue, but demand still exists 3 years later and you didn't lose everything.
In any other business choosing (2) would mean someone else swoops in and steals all your business. It doesn't look like this is at all possible for memory fabs.
It makes sense, CXMT takes as much profit as possible, then use that money to build more capacity, ultimately becoming one of the biggest competitor (only?) to the cartel.
People are happy to play with AI when the tech companies are burning hundreds of billions of dollars to subsidize it. It remains to be seen who is actually willing to pay for it at the prices required to recoup those insane investments.
Which directly leads to the next big development: all the big players are investing in silicon with "baked-in" models, like [0,1]. Turns out you don't need an expensive general-purpose GPU with heaps of RAM to contain a model when you can make a custom ASIC around one specific model! Why spend a fortune on DRAM / HBM when all you need is some finetuning parameters which are easily stored in on-die SRAM?
Also supply contracts exist which is what started all this: OpenAI signed huge orders for most of the market all at once. No one had any chance to properly include that information in their pricing or bidding.
The capital investment needed to bring new chip fabs online and to staff them is likely orders of magnitude higher than that needed to buy land to grow corn on. And then the ratio of investment to sell price on that land + infrastructure is probably significantly worse for chip fabs that potentially aren't needed to satisfy demand anymore a few years from now.
"If the price is high enough" is of course technically true, but the scale of what high means in this context is important.
But once you get past econ101, you are taught how markets react to percieved bubbles, how those with near monopolies would rather pocket a windfall now than risk investing in future expansions.
> HBM3E consumes approximately three times the wafer supply as D5 to produce a given number of bits in the same technology node
That's really interesting, and I wonder why? I believe HBM has redundant ECC bits by default, which would add a few %, but other than that, is it just that the yield is much lower due to die stacking? Of course, this is a 2024 document so things may have changed a bit since.
HBM requires stacking the chips. So they need to shave the layers, glue, stack more, shave again. They also require a substrate what is even more wafers. The issue is that a error in the stack means a lot of losses.
In order to get high bandwidth, you want memory as close as possible to the GPU. The more trace lane length = signal loss, bandwidth loss.. HBM is compact, and so you can stack 24GB modules, 8 around a GPU die.
If you tried to do that with normal memory, you need like 64 modules. So a a TON of traces more that all need to be equal length, and because so many = far away from the GPU = less bandwidth.
The issue is like stated above, its a process that waste a ton of wafers. Wafers that can make easily 3x more normal memory.
Intel with "Crescent Island" is trying to make a 160GB card using LPDDR5x memory but the bandwidth is only ~700GB/s.
None of what you said actually explains how HBM could require 3x the wafers.
The base interface die has eight or 12 memory dies stacked on top of it. The wafer cost of that interface die is therefore small.
If the process of die thinning and TSV stacking reduced yields by a factor of three, nobody would consider HBM mature enough to put into production, and especially not mature enough to be increasing stack height from one generation to the next.
Trace length has approximately nothing to do with die size. If anything, designing for shorter traces means you can get away with smaller PHYs at either end.
What might go some ways toward explaining such a huge difference in die size is that the TSVs themselves take up significant die area and must be fairly numerous to carry both a large number of signal wires and all the power and ground required by the stack. But it's wildly implausible that the die area consumed by the TSVs would be significantly larger than the die area consumed by the memory arrays themselves, or that anyone would build a memory die where the memory array was not a large majority of the total die area.
If there's any truth to that ~3x higher wafer requirement for the same number of bits as compared to DDR5, it must be a combination of several factors and probably includes something non-obvious and dubious, like counting all the area of the passive interposers that go between HBM stacks and GPUs (those interposers aren't competing for the same fab space).
My own PC died and now I’m locked out of my entire Steam library for the foreseeable future. A $2000 PC is literally a downgrade from what I bought 10 freaking years ago.
This is essentially what I did and it worked a treat. Get in while the getting's still good. Having a modern but DDR4 compatible system is not obly a great way to get up and running now, but will help see you through this crisis long term.
I've been in the same boat since it seems something about the memory controller on my gaming PC's MB is broken, but price wise it feels like it just doesn't make sense. I could get something from eBay relatively cheap but then I'd probably spend an hour disassembling and reassembling just to maybe learn that the eBay unit has some equivalent issue or is slightly broken in some other way. I could old new stock for outrageous prices. Right now I'd rather just wait until either an upgrade would be REALLY worth it or at least prices come down.
I’ve been pricing out my various options but the notion of replacing a 10 year old motherboard with another 10 year old motherboard is kinda lousy.
The PC I replaced when I bought this one was such a huge improvement.
My options basically boils down to fixing trash that’s falling apart or a sidegrade at best for the same price as what I bought a beast of a PC for 10 freaking years ago. Depressing.
Buying a cheap secondhand motherboard is still less lousy than losing access to a game collection. I did that with a 13 years old computer and it cost 50€.
I agree that the current situation sucks, but I don't think one can say it locks someone on your situation out of your game collection.
(edit: misremembered, $2000 is not the price of the game collection)
10 year old is still DDR4, and ddr4 is still plenty fine for gaming workloads. AM4 still has some solid options out there, the 5800x3d has 3d vcache and would be an insane upgrade over any… quad core? 6th gen intel? Not sure what the AMD at the time was.
14th gen intel supports both ddr4/5 if you wanted the ram upgrade potential, but it… well, I remember it being pretty sketchy perf/degradation wise for a while, so maybe don’t go with them.
I understand the sucky feeling that you’re sidegrading instead of investing in a new beastly rig for a reasonable price- believe me I’ve been in the same boat since all this GPU bullshit started. I got lucky choosing to upgrade to ddr5 years ago, but I elected not to get a GPU out of a lack of clairvoyance :(.
Still though- I upgraded from an i7 6700k in 2023. The 5800x3d released a year prior to the CPU I picked up. Granted I went to zen 5, but holy shit I didn’t not realize how fucking old that 6700k was haha. The 3dvcache on AMD CPUs is a crazy, crazy boost- in addition to the fact that modern CPUs are already bounds and leagues ahead of 2016, and I would go to bet that even if it’s technically a sidegrade, you probably wouldn’t feel too horrible about the money spent. (I really want to say that you’d feel pretty satisfied with it it, but I can’t discount that I also jumped up to a higher tier zen 5 cpu, and don’t have explicit experience with the 5800x or other AM4 stuff. ymmv!)
Oh I agree, I am just saying that if you really did not want to spend, there are obviously options. I am thinking of promoting my super old and long-time-not-used PC with an i7-3770 and 32GB DDR3 RAM to a server and I bought a ~$45 motherboard for it some months ago, now I have to bother finding it a good NAS case and buy at least two HDDs (the real cost here).
Point is, quite a lot of hardware can still do a lot. I have a Ryzen 5500U-based laptop that still outperforms the PCs of most people that I know (non-tech people).
Though in my case I feel like I have to get a loan to buy a workstation + an actual gaming PC for my wife. That all is beginning to look like at least $15k... yikes. But I am not sure I can wait until 2028 to see if things _start_ normalizing... Depressing indeed.
Yeah, just barely, and only if you don't value warranty or build time. I'm also not super sure you could get something together that is somewhat compact like the steam machine and still be cheaper.
I've built two PCs in the last 5 years and both have had parts that were broken from the factory... There is something to be said about being able to hand off troubleshooting and replacement. I had ASRock pointing fingers at everything else to the point where I had swapped out CPU, PSU, and RAM, until they relented and replaced the motherboard (the replacement which is broken again now 5 years later by the way...)
This is why I'm so hesitant to use AI. There are other reasons (for example: the journey is the fun part, not the destination; and I want to learn not have something done for me), but the pressure AI puts on memory and storage is too much for me. I do use it occasionally, mostly to keep tabs on it and for small problem solving (how do I do this one piece of a query in MySQL, since I'm not a MySQL DBA), but that's it for now, until this memory/storage issue is fixed.
Unfortunately, I can't not use AI because it provides the best speech recognition I've ever used and, going along with hand problems, it now allows me to write code after a three-year absence from that skill. I do miss it. I'd never do it again professionally in the large, but I have missed writing code a lot.
My solution is to see what four or five-year-old equipment I can buy that will let me run local LLMs. I may only get six or seven tokens per second out of an i7, but it's a start. And best of all, I can turn the machine off when I'm not using it.
IMO, Migrating to small-scale local LLMs would be a significant improvement over using data centers.
> IMO, Migrating to small-scale local LLMs would be a significant improvement over using data centers.
LLM serving is most efficient when you batch a lot of parallel requests together. Data center solutions also have the advantage of collecting queries from around the globe, so the hardware can be utilized around the clock.
Having everyone serve their own local LLMs would produce a lot more memory demand. Not less. The same memory would be idle most of the time, and when it was used it would be used for 1 person instead of a batch of requests.
There are other reasons to run local LLMs, but solving hardware demand problems is not one of them.
Inefficient per watt, yes, but local inference capacity is greatly underutilized in aggregate. If a model can run on a machine that already exists, that's a bunch of additional chips that don't need to be built.
> Migrating to small-scale local LLMs would be a significant improvement over using data centers.
This shift is probably inevitable, but it will vary significantly by region depending on prices for electricity. Look at, for example, the difference in fundamental homelab build recommendations between Germans and just about anyone else. Electricity prices in Germany are so high that even a now expensive Raspberry Pi or other ARM board is often preferred over Intel/AMD builds due to low power draw (especially low idle power draw), an effect that adds up for a machine running all the time over years.
With local LLMs and the GPUs to run it, especially if you want a model available to you all the time and can remote into your local network to use it whenever you want, there's no escaping much higher power draws, even at idle. Wherever electricity is expensive, the electric bill can be a prohibitive barrier.
No-Load losses on the power conversion seems to be the real issue and is rarely mentioned and understood even less often. Plus the conversion eff. curve.
Eg: I shaved ~40W off the idle load on a server (250->210W) by doung nothing more than removing the redundant supply
You just reminded me of a funny story about redundant power supply.
A college buddy used to work at Motorola (I'm naming the company because they wouldn't mind this story being shared) back in the late 90's or early 2000's. They had redundant power to their campus, bought from two different companies, coming in on opposite sides of the campus, so that even if some backhoe operator cut a ground-based power line somewhere, they wouldn't lose power.
And yet, one morning, the power went off all across their campus. After a little investigation, they sent pretty much all their employees home at noon and told them "take the afternoon off, don't come back until tomorrow, you wouldn't be able to do any work anyway". Turns out that although the power lines came in at opposite sides of their campus, somewhere a few miles away both of the power lines feeding their campus ended up running through the same underground conduit. And yes, a backhoe had managed to cut that conduit and break both of the lines they depended on at the same time. They had a single, VERY non-obvious, point of failure, and the backhoe had unerringly homed in on that SPoF.
> Unfortunately, I can't not use AI because it provides the best speech recognition I've ever used and, going along with hand problems, it now allows me to write code after a three-year absence from that skill.
I'll second this. The combination of Whisper + LLM makes speech recognition fantastic. I occasionally have arm pain from typing, and this is a Godsend.
I don't use it to write code - but in my experience stuff like emails + docs was the greater source of pain (one generally types slower while coding).
This will have general inflationary consequences for consumer products (phones, consoles, laptops, etc.). On top of current uncertainties regarding oil and fertilizers, I think 2% inflation in the US and Europe would be a very optimistic target.
The average consumer isn't purchasing a lot of products with a lot of RAM every year.
Their 8GB of RAM phones will go up in price a little bit, but people aren't buying phones every year or even every other year.
So if the price of the 8GB of LPDDR went from $40 to $160 and it's all passed on to the consumer buying a new phone every 4 years, that's an extra $30/year in spending.
Most adults I know now use their phone for everything, so they're not buying new computers and laptops. They can wait 3 years for the market to settle before upgrading those, too.
Even I'm a heavy buyer of tech products and RAM, and I would bet you that my family's annual food bill fluctuates by more than what I've had to pay for RAM prices growing.
You don't have to directly buy RAM to be affected. It's just like oil or electricity...if RAM was part of the economic process that you participated in, then that price increase will be passed down to you. If every datacenter in the US suddenly had to pay double for electricity, how would that affect every operation that is operating in that datacenter? Ok now it's not electricity, it's the RAM.
The headline says "sold out". That doesn't mean prices will go up, that means the memory will not be available at all for many companies and the products they make will not be available to consumers.
The companies making phones will be able to get new memory chips.
Many smaller companies will have issues getting enough, but even they could buy something with memory and rip it out. When you're willing to pay a hefty multiple, you can outbid other people. The shortages are not nearly bad enough to escape standard supply and demand.
It means prices will go up and that's it. If you read "sold out" and immediately believe "no company will have memory in 2027 besides AI companies" then I think you have to reconnect your thoughts to the reality.
You forgot to tack on the rise in prices of SSDs too, so that's $50 per year at least.
>Most adults I know now use their phone for everything
You mean the cloud for everything. A lot of phone tasks share their computational and storage workloads off in the invisible ether that has actual computers with real costs behind them. Amazon has no problem with bumping up their costs in order to pay for their fleet of servers. I mean, what business doesn't use the cloud these days.
Almost everything we consume is downstream of RAM pricing. I don’t buy a phone every year, but corporate workforces, streaming servers, cars, factories, etc. will all cost more next year.
Oh, I hope you are right about cars. If one of the outcomes of the memory crunch is that manufacturers start making “dumb cars” again, it would almost make it all worthwhile.
Cars get developed on a cycle that spans a decade in many cases. Four or five years is pretty much the minimum. It could impact development cycles going forward but it will take a good while for that to be reflected in the marketplace.
In the shorter term, you’ll probably see more “base” models on offer with some of the most intensive features disabled. There’s still going to be all of the telemetry stuff that makes them money through third parties though.
Remember when car companies couldn’t get the chips they needed to make cars? And so now there’s not enough used cars. And so car companies charge way more the new ones and just stopped making cheap cars altogether?
It's inflationary because this demand is backed by Monopoly money. OpenAI is promising to buy half the global supply of RAM with money they don't actually have, pricing out people who would like to make purchases with real money and not $1 trillion in debt.
Yep. And not in the future, it is here right now. And poor countries will as always be impacted way more than the US or Europe. The AI industry is the very direct cause and should be shamed for handling their rollout in such a destructing way. They deliberately created and grew the feeling of urgency for their own benefit
Amazon has implemented a password system for RAM delivery. You're supposed to give a password to the deliverer before taking delivery of the RAM, and you're not supposed to send the password over the phone at all (although the Amazon delivery guy still called me and asked for it over the phone).
Depending on your location this will happen for any item with a certain value and presumably risk score. It's not a unique decision they made for RAM. Probably happened to your order because the value was high enough and your location, not because it was RAM specifically
I've already been burned via amazon a few times recently.
Most recent one I bought a multi-tb hard disk, but got an old multi-gb disk shoehorned into legitimate box. Couldn't just get a replacement - had to buy one for more money since that drive's price had increased.
Its a way to make sure the delivery takes place. A code is sent to recipient and recipient only gives it to the delivery person once item is handed over. Delivery person cant mark item as 'done' without the code. I've seen Uber Eats do the same thing sometimes.
My signature on a touchpad is noticeably different from my paper signature. It’s been a real challenge for me recently as I’ve had to sign a number of paper documents while the “official” signature on file for me is an electronic one from a touch interface. A few times I have had to resubmit fresh copies when the first ones were rejected.
Sometimes I wonder if true reason behind them is not any sort of verification but to maybe increase potential punishment if caught... So effectively nothing...
This is normal for every item above ~100EUR delivered by Amazon here in Austria. Never had it happen that they asked for the code without showing me the package in-person first though.
Hmm. Forget about desktops. I'm programming a microcontroller which is actually reasonably priced and has gotten all its 32Mb of RAM in the same die as the processor, but I'm getting nervous and having a strong urge to stockpile...
Well, that one is likely out of danger - so far PSRAM (I assume that's what you have) is not impacted that much. However, we had to cancel some projects because we couldn't secure enough chips which have DDR on die at a reasonable price. They are 4x now compared to December last year.
Seems like we need a USB equivalent standard to RAM sticks. I have lots and lots of old (1-2GB), intercompatible sticks sitting. Sometimes you just need the space and not the speed.
Yeah but DDR3 was faster then and still is now - I can't imagine my M4 Mac having a slightly older version RAM would meaningfully affect me, but another 24GB of it (or whatever I have) would certainly be an improvement.
It probably would. LPDDR5 memory bandwidth on M-series Macs is several multiples of the memory bandwidth available on DDR3 (depending on the exact chip, Pro, Max, etc... 4x to beyond 10x.) The whole system would be much, much slower.
Yeah, sure but... if it's real fast, lets connect SSDs to it and have real fast swap. Whatever it is will be limited to the bus speed. And that's gonna be silly compared to RAM speed.
A better SSD can get up to a passable GB/s rate, but when you're waiting tens of microseconds instead of tens of nanoseconds you can't use it the same way. And a worse SSD is 10x slower in GB/s too, compared to old super cheap RAM.
Hey, I apologize for using you as tech support, but I found tons of those M10 sticks you are talking about, but what should I be looking for in terms of an adapter? All I can find are adapters listed as M.2:
Optane on a cheap adapter is superior in just this Swap application because the 16GB M.2 are very cheap, the 2x lanes aren't under utilizing your 4x motherboard M.2 slot when used with an adapter, and Optane has better write endurance and latency then even the newest flash.
Read more about it. Not sure on endurance but does it really do that well on latency ? Curious if you have any resources. Some boards have a lot of spare m2
I suggest using an 1x PCI-e adapter because putting a M10 in a M.2 slot is likely going to only have 2 of 4 PCI-e lanes in use. You have to figure out the tradeoff of using a Swap on your, now very expensive as well, Flash storage that may have flashier sequential read and write speeds but doesn't have the ability to sustain random read and write performance which is what a Swap is going to use the most.
There are faster Optane drives that use 4 PCI-e lanes or even PCI-e 4.0, but they get pricey quickly, so you should just buy ram then. The deal is the 16GB Optane on an unused 1x PCI-e slot.
What about using one of those fancier enterprise Optane drives (that are also larger) either as a swap or - dedicated drive for writing or reading huge amounts of small files ? The Intel P5800x is the opposite of cheap but from tests I'm seeing the latency and performance is very impressive for some niche use cases
For starters, The slowest sticks of DDR(x) are often slower than DDR(x-1). The issue is never capacity, but rather, performance.
The real nonsense? USB? It's a mess. Pick a USB cable and buy it from ANY retailer, let's make it easier, buy a USB-C cable. What is the data rate (depends on cable quality and length), Does it support power delivery? If so, how many watts? (~5W requires a very different cable from ~230W), how do you know from simply looking at the cable? If you buy a cable, how can you tell what it supports by simply looking at the connector? Imagine having a box full of USB-C cables. Could you tell me how fast each of those cables are? (The cables themselves don't! Many don't have any markngs at all, and if they do, the markings could be fraudulent)
RAM does not have that issue. A stick fits or it doesn't. Sure, there are a huge range of speeds, however, that range has a ballpark (JEDEC defines the ballpark, the "cartels" make the memory and push out some faster stuff).
While there are definite exceptions (I was bitten by one recently), you can generally plug in a DDR5 DIMM and expect it to work in the system.
The same cannot be said for USB. Some USB cables ONLY deliver power. Some only work with certain devices. I've USB-C (!!!) cables that only work with the devices they are shipped with, and even more annoyingly, the both may be true! ASUS (!!!) ships MOTHERBOARDS that can only pair with vital hardware via very specific USB-C cables (Strix Hive) and "GLORIOUS" ain't so glorious. Their mouses warn you not to use other USB-C cables, and they are right, depending on the make/model/generation, you can brick your "glorious" peripheral.
No, USB nonsense needs to stay far away from anything else.
Also, the reason this is a huge issue is because the memory makers are cartels. Only a few of them exist, they gang up and bully EVERYONE and nobody has ever invested money to create a competitor due to this, except China, which of course means that the U.S. and portions of the E.U. are insta-banning/trying to insta-ban, even though it is really freaking hard to install spyware on a memory module.
> Pick a USB cable and buy it from ANY retailer, let's make it easier, buy a USB-C cable.
Okay, let's assume it's a USB-C cable and not just something USB-C shaped that pretends to be one.
> Does it support power delivery?
Yes.
> If so, how many watts?
Always at least 60W (3A). Up to 240W if it's e-marked.
> What is the data rate
Depends whether it's a USB 2.0-only cable (480Mbps) or a complete cable (20Gbps). Possibly more in Thunderbolt or USB4 modes - cables that handle those will be marked (both visually and with an e-mark). In any case, pretty easy to check just by plugging things in.
I don't know why you got downvoted so much. There's no such thing as a 5 watt USB cable from a reputable source and people need to stop acting like there is. 60 is a very good baseline. There's no such thing as a power only USB cable either.
If we're counting fake products then we need to count those RGB sticks that have no RAM in them.
You couldn't even make a 5W USB-C cable if you tried. You'd have to make the wires so thin that it would burn at above 1A I guess, and it would have no way to signal the device to limit its power consumption to 1A, so it would just burn once you tried to use it. All you need to handle 60W is to make three electrical connections between the ends, and the cable won't work at all if you miss any.
USBism has a lot of elements similar to the "connect your agent to your data with this 'curl | sh' script and do anything. Maybe some friction and incompatibility is useful in some cases.
The boom cycle looks like it's going to last a while, but it never lasts forever. If the current memory manufacturers all conspire to not build more capacity, I'm sure someone else will (eg China).
Price per GiB is skewed by definition. 10 Years ago, 8GiB was enough and cost between $10 and $20. For the longest time this century, a cheap build was in the $250 to $350 range. Nowadays I'm having trouble with that price range building from used parts.
You only need to make the app once before running it on a million computers. So it's more like greasy flavor development, then de-greasinating the recipe before going into mass production. It's not a big efficiency impact overall, it's more about how you like to spend your flavor development time.
Honestly, despite being Electron VSCode manages to outspeed every other editor on my machine (by qualitative metrics), even stuff like Zed (which manages to lag on stuff VSCode doesn’t despite performance being its main selling point)
They're heavily tuned but I think having the generational hypothesis and copying longer-lived objects is still standard? As is allowing a fair amount of garbage to accumulate to increase throughput and reduce copying at the cost of memory footprint?
Posting instead of researching in hopes someone smarter can chime in, because I'm lazy.
That's tech... Moore Law was steadily going until raw CPU got stuck for a few years, switching from single core to multicore then heterogeneous cpus, all those requiring to rewrite software in a scalable manner and then consider newer schedulers switching between performance/efficiency cores and changing CPU freqs.
Also, you have Meta and Google investing in simplified performant versions of their stack for developing countries which is similar.
What's funny though,
I see people that sometimes says it's cheaper to build the app they need in a single prompt than to search for it.
You know that Moore's law is about transistor count? What worked really well for CPU in eg the 1990s was Dennard scaling. That drove the Hz higher. And Dennard scaling is what stopped working.
"The original retail price of the computer with 4 KiB of RAM was US$1,298 (equivalent to $6,900 in 2025)[21] and with the maximum 48 KiB of RAM, it was US$2,638 (equivalent to $14,020 in 2025)"
Don't worry. Sooner or later this stuff will be mandatory and you'll be obligated to get your state-issued terminal. Social credits will do, if you have no money.
For the skeptical ones: Somewhere people are already being cut off from state and financial institutions without proprietary software with bundled security certificates, applications are bound to collect data on the environment they are used in (other apps) and organizations deliberately limit access to their services or cripple them without their applications (can't do things from a generic web-browser).
Jeff Bezos will be happy to let you rent one from him. He's said this is how he envisions the future of personal computing. You will own nothing, and so on.
Why? High demand and low supply is very good for shareholders and make indexes go up, their goal is not to meet demand, they want exponential qurartly revunes
I hear what you're saying but memory ultimately is not infrastructure, it's a commodity that's shipped over infrastructure.
The arguments for infrastructure being managed more tightly by the government is because it's a natural monopoly that everything depends on. Memory isn't a natural monopoly, if we found ourselves in a spot where we all depend on 3 companies then that's not a law of nature, we need more companies.
Its not like demand will be lowered by this though, I dont see how this would be bad for ASML (besides PR-China generally not respecting IP and them reverse engineering it)
Don't really need the EUVs for commodity DRAMs and China has plenty of DUVs capable of 10nm. CXMT's DDR5 is known to use 1z nodes (17nm) vs 1c (10nm) used by the big three -- ie, higher cost, less efficiency, less density.
The big three are also expanding their capacity. IMO, it seems to make more sense to sell equipments to those who could make better, efficient use of them. ASML has a backlog of €38.8 billion and is fully booked for 2027.
I just bought 16 GB DDR4 for my (somewhat old) Dell tower for $120 + shipping from Techyparts.com. Looking around that seemed like a really decent price (but maybe I'm wrong).
I had previously ordered from Aeonfly, but they cancelled my order--likely because they wanted to raise the price.
At this size, I think we have to start worrying about a 2008-type default risk. AI companies will have ordered all the RAM and paid some kind of deposit for that, but actually taking delivery and paying for it is still in the future and the sums of capital involved are extremely large.
Fail to deliver, and they get bankrupted because a court would not simply unwind the deal - a court would demand compensation of the market price of the goods not delivered on delivery day - which will probably be very high.
What we got in 2008 was central banks (eg Fed and ECB) willfully collapsing nominal GDP in their economies. Have a look at the dot-com bust or Black Monday for comparison.
We just had a string of bank failures, like Silicon Valley Bank, but you will not see any impact in the macro-economic data (like unemployment), because the Fed kept nominal spending on track.
In 2008 they didn't. Instead they actively tightened monetary policy by eg introducing interest on excess reserves. The ECB even hiked interest rates.
Companies defaulting on debt doesn't need to bring down the economy.
For the US, you can also see how the construction sector had been winding down for years (eg as measured in construction employment) without an impact on overall unemployment. The crisis was entirely avoidable.
AI companies would do well to realize that civil disobedience is a thing.
Take what's currently happening to Flock cameras as an object lesson. People are so fed up with Flock that they're cutting their cameras down en masse, sometimes wiping them clean from entire jurisdictions. Tens of thousands of other people in those jurisdictions are cheering them on, even offering alibis for them before they've been caught. Law enforcement doesn't seem too keen to catch them either. You absolutely can be so hated that the law will not be enforced to protect your property.
If AI companies don't slow down and build some good will, AI data centres are probably at risk. They'd probably have been targeted before Flock were they not harder targets. A higher degree of cooperation and organization will be required to sabotage them, but it would be foolish to believe it won't eventually happen.
Monopolizing memory production for another year suggests that lessons have not been learned, the mad build-out will continue, and we're headed for some truly crazy stuff.
That's a really great point. So much about our world is about perception. I think the datacenter concern is overblown for the most part (except putting them next to houses), but the perception is stronger than the facts.
And if AI is putting people out of jobs and making everything expensive - or that's just the perception - that's gonna set AI back for years.
> Take what's currently happening to Flock cameras as an object lesson. People are so fed up with Flock that they're cutting their cameras down en masse, sometimes wiping them clean from entire jurisdictions.
It seems inevitable that these lost cameras will simply be upgraded to drone fleets. Not an identical replacement, but still "good enough" for the original purposes. Had they anticipated this problem and skipped the first phase, it might have been harder to manufacture consent for privacy invasion. But now anybody who was okay with the original cameras feels like a victim having them torn down, which makes it likelier they'll be okay with drones everywhere.
> Tens of thousands of other people in those jurisdictions are cheering them on, even offering alibis for them before they've been caught. Law enforcement doesn't seem too keen to catch them either. You absolutely can be so hated that the law will not be enforced to protect your property.
At least one third of the country is still okay with them, because they believe it helps rid them of illegals and deter crime, with downsides small enough to ignore, in their mind.
In sum, we don't have as much control over these things as you seem to believe. Capital was always in control with its crude but effective propaganda pipelines to manufacture enough consent. Now imagine those pipelines becoming even more effective thanks to AI. Not looking good.
Who cares about those people? I would argue even they themselves hardly do. And sure, they'll be even more okay with even worse stuff, and that even worse stuff will be even more hated by even more people, whatever the people who are "okay with" (that can mean ignorance, obedience, or evil intent, but it's not justification). If they can be okay with mass surveillance they can be okay with other things, so they're basically a wash, they're just okay with stuff.
> At least one third of the country is still okay with them
Then they can be okay with the majority saying you know what, we're sick of you, you can either stop having your toys or you will be segregated from us and live under your own surveillance. "Being okay with something" isn't some magical wand or a fortress, it's just a limp shrug. It means "pass".
> In sum, we don't have as much control over these things as you seem to believe.
I don't see the connection with the sentence before that, which is a minority being "okay with" something and a majority willing to fight and out there doing it. It's not about controlling what a minority of people are okay with, it's about changing what is done. The people who are okay with stuff can go read a comic book until it's over, how does that not solve anything you raised about them? Or are you saying their being okay with stuff should be respected or even heeded? Couldn't they just make that claim themselves, if they wanted to?
Imagine a raging house fire, people stumbling over each other trying to help, and some guy steps up and goes "WAIT!" they all look at him, sure he has a major contribution for interrupting something like this, a good idea, a plan perhaps; and he goes "... I'm actually okay with this."
> Then they can be okay with the majority saying you know what, we're sick of you, you can either stop having your toys or you will be segregated from us and live under your own surveillance. "Being okay with something" isn't some magical wand or a fortress, it's just a limp shrug. It means "pass".
It's not the majority, though. Roughly speaking, among adults, we have:
* 1/3 who are willing to vote for the red flavor of lesser-two-evils (some of them don't even register it as evil)
* 1/3 who are willing to vote for the blue flavor of lesser-two-evils (some of them don't even register it as evil, including when it literally manufactures consent for the first third to win next time around)
* 1/3 who see the above as a uniparty of capital interests offering the illusion of democracy through "close" elections as the bullshit that it is.
It doesn't matter. The perception is all datacenters do AI (not necessarily wrong nowadays either) and that's all that matters to the public when they see so many lost jobs and high computer / phone prices.
You can hear them from quite far away since companies like X use on-site Methane Gas Turbine Generators because they don't want to wait for the grid capacity to catch up.
Water is one example, but it usually goes beyond that. I'm not sure if RAM is ever covered by those laws, but I'm also not willing to look through every state's laws and check.
Isn't scalping a term used for tickets? Also, these companies supposedly intend to actually use the RAM they ordered, not reselling at some inflated price.
It's all fair game IMHO, except the elephant in the room which is that the AI company bubble might pop.
It is also a term use in general trading anywhere traders open and close their positions quickly to make profit off an upswing which might be in part caused by traders doing this. If done with inside knowledge it is illegal, in this case more commonly referred to as “front running” (which is what many suspect happened with numerous ahemfortuitous/serendipitous position changes around announcements of changes in the state of the US vs Iran situation).
> Also, these companies supposedly intend to actually use the RAM they ordered, not reselling at some inflated price.
As well as the companies ordering for the purpose of DC roll-outs and upgrades, there will definitely be some buying purely to sell at a higher price a short time later.
> It's all fair game IMHO, except the elephant in the room which is that the AI company bubble might pop.
[and with reference to the sibling reply to this: “Then we'll have a lot of cheap RAM.”]
I don't think it will pop with a sudden bang, and even if it is it won't affect these memory sales or probably those for 2028. The first real effect will be those using the AI tools suddenly finding themselves needing to pay a lot more for them as companies offering those services deal with reduced access to “new” credit from the circling investment pool shore up their fanciful accounting that way instead. The DC builds/upgrades that are currently planned will happen but more funded by end users and less by the investment cycle. New plans might not be actioned at the same scale, but it will take a while for that to affect component prices as there is a lot of lead time involved.
I don't see the AI bubble popping any time soon (as in, not in terms of physical datacenter buildout - stock prices could fall). Even if progress hits a brick wall, we still have multiple years of just expanding out the models we have to more people in more industries.
And if anything, I believe progress has been accelerating.
A year ago the SOTA was GPT-5/Opus 4.1/Gemini 2.5 Pro, two years ago Sonnet 3.5.
Looking at Opus 5 for SOTA performance and GPT 5.6 Luna for a viable cheap alternative, AI is much more capable now.
Honorable mention: GPT 5.6 Sol on Cerebras, capacity limited to a few customers, is supposedly serving 750 tok/s.
Compared to 90 tok/s for non fast mode 5.6 Sol, 56 tok/s for Opus 5, and 190 tok/s for 5.6 Luna.
I am very curious about the next generation of models, GPT-6/Astra is rumored to launch still in August. Not sure what is the state of Anthropic's next Fable checkpoint.
If these models also deliver significant improvements, I really do not see how one could seriously still argue among the lines of AI being a scam, and the demand not being there to support the size of the investments.
> I really do not see how one could seriously still argue among the lines of AI being a scam, and the demand not being there to support the size of the investments.
I don’t think most people are saying it is purely a scam (well, some do but I don’t think they are to be taken seriously). What all these talks about circular financing and VC money are saying is that demand cannot sustain the sector long-term, not that there is no demand. People are certainly happy to pay say $20/month for whatever AI chatbot, but would they still pay if it were $200/month, which is closer to the actual costs.
There are several other details that point towards a unsustainable projections:
- measurable benefits from AI-ifying companies are nowhere near what is commonly believed. AI providers are hoping that they can keep the show going until the models are good enough, essentially faking it until they’ve made it, but that is not a given. It is also unstable because it is susceptible to change in public opinion.
- permits for new datacenters are not going to become easier to get as public opinion keeps turning against them. They will have to concentrate in friendly regions, which will add cost (more demand for the same location, plus interconnection for network and electricity, both of which can easily become bottlenecks).
- the electric grids are not ready for all those planned datacenters, so something will have to give. Building more and more on-site diesel generator in times where oil supply is so constrained and random is not very sustainable either.
- eventually the loans will come due and if earnings do not match there will be a, possibly severe, correction.
If we look at the historical example of the dot-com bubble, the crash was not caused by no demand. It was just caused by over-estimated demand and too much money going to a single sector of the economy. We still use the Internet, and it is still hugely important, but the correction was still severe and real people lost real money.
Those are good points, but some arguments are weak:
- Chatbot usage in $20 plans is likely nowhere close to a $200 cost.
Inference cost has come down rapidly, with reports from July claiming OpenAI can now serve all of the logged out ChatGPT traffic on just a few hundred GPUs.
- Measurable benefit: I doubt anything of value is being measured. MS Copilot with GPT 5.5 Instant processing SharePoint files? Developers using AI as a fancy autocomplete under a "I review every line" regime?
I rely on my personal value judgement, based on 30h/week I spend using AI outside of my regular job.
I am developing a mobile app, competing with companies with millions in revenue and entire dev teams. I know it is viable. Others lag in effective adoption, their opinion is likely to change soon with even more capable models.
- data center projects in the US: They look to me to mostly be constructed in the most remote backwater. If even there projects with such moderate environmental impact cannot be realized, that would be an embarrassing policy failure
- the grid: I think that one is true. AFAIK the constraint would be gas turbines, not diesel, and oil supply is not structurally constrained
- the loans: Anthropic is rumored to have become profitable earlier this year because of large growth in enterprise revenue. It does not look so bad to me
>I am developing a mobile app, competing with companies with millions in revenue and entire dev teams. I know it is viable. Others lag in effective adoption, their opinion is likely to change soon with even more capable models.
To add to that, as an ex-software dev that mostly works in a semi-unrelated field now (and can only code as a small part of my job): I think a lot of software devs are underestimating what someone with reasonable technical skills and specialised domain knowledge is able to create with AI.
I honestly wouldn't be surprised if, in 5 years' time, the majority of software used by (e.g.) potato farmers was primarily created by other potato farmers. The code might still be less elegant but I think it will be easier for the potato farmer to iterate with an AI than outsourcing to a dev firm.
On a tangent, because you mentioned five years for widely used software being implemented by domain experts rather than software engineers: this seems like a very conservative timeline.
I have little doubt that a competent potato farmer could possibly implement and sell such software today using Opus 5, Fable, or 5.6 Sol.
Now what I am going to say next may sound a bit crazy, and it is outside of my area of expertise. I hear the recent mathematical breakthroughs made by GPT-6/Astra are field medal worthy discoveries.
What if the current trajectory of improvement holds for another year or two?
Is it impossible that LLMs gain superhuman ability to reason over a large number of constraints so that they can make novel breakthroughs unimaginable to us today?
What I hope to see in five years is not potato farmers writing software, but programmable immune cells that safely kill cancer.
Yup... And in 2021(5 years ago now) I got 64gb ddr4 for 120 bucks, second hand with a 6 month warranty. I felt like I hit the jackpot then, now that price seems like literal peanuts. I can't wait for the AI bubble to burst.
It was already reported that new RAM production wouldn't be available until at least the end of 2027, and when it does come back online there'll be a backlog of orders, so prices and availability won't be stable until at least 2029. That's assuming there aren't more global economic and political issues delaying it.
China RAM entered the US market in quantity a week ago west coast. It’s slow buggy trash but it’ll cool the market until failure rates are known. Europe got its first shipment 3 weeks ago.
I am guessing there is some fluidity between these markets. If consumers get priced out of the DDR5 market, the consumer DDR4 price increases as well. It is the same with cars, if the price goes up for new cars, it usually increases for used car market as well. Same with energy, price goes up for oil, all things beeing equal, other energy carries will increase to some degree.
That's it. Which is insane. We used to buy used DDR4 from obsolete servers in buckets before it was going to become e-waste. Now even that one is expensive.
The lines that would have made consumer-level stuff are being reduced in favor of the higher profit margin/demand products. That means more supply of those other products (but still not enough) and lower supply of the consumer-level stuff (driving up prices).
Isn't DDR4 like, old and obsolete? From my knowledge, you can't just take a fab that produces DDR4 and make it produce DDR5 or higher. It's kind of a leap that requires replacing a lot of stuff.
I would expect that old DDR4 machinery to end up somewhere else, still chugging along. Maybe someone buys the old production and keeps chugging low quality DDR4 or something.
To me, it sounds like that didn't happened. Fabs that were producing legacy DDR4 are still producing it, just selling it higher and surfing on the consumer price increase of DDR5. As DDR5 became more expensive, people looked to build old AM4 PCs with the older memory, and the market just raised the price so that option would also cost more. IMHO DDR4 price increase has nothing to do with production.
There is some overlap. The last DDR4 fabs were typically on a 16nm process, the first DDR5 fabs were also on a 16nm process.
There shouldn't be much issue converting those 16nm DDR4 fabs to DDR5, it's really just an issue of swapping out the masks. That's assuming they haven't all already been converted years ago.
Even when there isn't an overlap, moving to the next process node usually isn't so much about replacing machines, but adding more machines. To oversimplify, you might not be able to convert one older DDR4 fab to DDR5, but sometimes you might be able to convert two older DDR4 fabs to one DDR5 fab.
Such conversions might not be the most cost-effective option in the long run (that unmodified fab could have kept selling DDR4 for years), but conversions might be significantly faster than building new fabs.
[not an expert so I could be totally wrong] I was also just talking about the physical space. Even if the machines on the entire line have to be replaced it still probably makes sense for a company to transition in situ - displacing the old line. There's the lease for the land and building, people's commutes are structured around a certain physical location, air conditioning and electricity are already there, etc... It's not just the big expensive machines that make up the fabrication - it's also the entire structure that makes that production happen.
Even if they need to replace every single lithography machine, there are a lot of other machines that probably don't need to be replaced for any given upgrade.
Like everything related to it being a clean room; All the logistics robots which move wafers around; All the machines that deposit layers of material like CVD/AVD/Sputtering; The various machines that do the actual etching; The furnaces; The inspection and quality control equipment;
Also, absolutely everything to do with dicing and packaging. But that's usually already at another factory (often a completely different company) due to how process agnostic it is. Same applies to growing and prepping the silicon wafer.
So.. memory futures? Sounds like a signal of an efficient and mature market to me, manufacturers sell their stock way beforehand, keep production steady, and wholesalers can hold stock and absorb risk in exchange of profit.
Nothing prevents wholesalers from selling their memory or memory futures at a loss, as that is a risk that is justified by equal possibiltiy of the memory appreciating in excess of inflation.
Why AI companies wont build their own RAM but prefer to pay multiple times more than what they sold pre AI boom? (And ram business was still profitable). They already make custom processors
AI companies aren't fabbing processors. They're buying capacity at fabs to make their own designs. To make more RAM, they'd need to invest in making more DRAM fabs, which is a slow process.
Lame: Fight the war on general computation by spending decades pushing elaborate technical standards for locking down bootloaders, try to convince society why we need device attestation and hardware-bound keys, gradually establish devices without root access as the norm, get into constant skirmishes with free software and privacy advocates, get drawn into unpleasant political quagmires, etc etc
> As discussed previously, the ramp of HBM production will constrain industry supply growth in non-HBM products. Industrywide, HBM3E consumes approximately three times the wafer supply as D5 to produce a given number of bits in the same technology node. With increased performance and packaging complexity, across the industry, we expect this trade ratio for HBM4 to be even higher than the trade ratio for HBM3E. We anticipate strong HBM demand due to AI, combined with increasing silicon intensity of the HBM roadmap, to contribute to tight supply conditions for DRAM across all end markets. As the memory industry is still recovering from the challenging environment in 2023, this tight supply environment will help drive the considerable improvements in profitability and ROI (return on investment) that are needed to enable the investments required to support future growth.
https://investors.micron.com/static-files/4550f98c-1054-4847...
The problem is that they need actual chips tomorrow. I fear we are reaching the point in the semiconductor industry where, in order to sustain the revenue growth propping up their valuations, they're going to have to start selling future chips that cannot possibly be physically produced.
If there is demand for N chips at $X price, but you only have N/2 chips, then half the people aren't going to be able to buy them. The people who really need the chips, and would be willing to pay a lot more than $X for them, will be competing with people who are only willing to pay $X for them. You will end up getting scalping and shortages and hoarding. Since people know that there are enough people willing to pay a higher price, everyone will try to buy them at $X, even if they don't need them at all. Just buy them at $X, and immediately sell it to one of those companies willing to pay a lot more.
The market is extremely inefficient... since the manufacturer isn't charging enough, you get way too many people trying to buy them from the manufacturer.
So you find the price where the demand is N/2 chips, and everyone who is willing to pay that much will get one, and there is no profit for scalpers so the only people who will buy them will be actual companies that need them.
If there was an Ozempic shortage tomorrow, it's not the morbidly obese people who "really need" it who would be getting it, it would be the Hollywood A-listers who need to drop 4 pounds for their next movie, or the billionaire who's feeling a little tubby. Price is a good allocation system, but it's important to recognize that it's not a mechanism for attaining some kind of ethically "best" allocation.
I don’t believe scalpers are an issue in B2B; these aren’t concert tickets being sold to the general public.
It’s clear you grasp the economic theory as it’s taught, but my comment was meant for you to question it. If someone is hungry you can charge more for food. The market allows and encourages it. But don’t mistake that for “willingness” and don’t mistake raising the prices purely to get extra money from the exchange as some inevitable law of the universe. You’re welcome to love the concept, but don’t whitewash it.
Demand is elastic. If the price of potatoes rises to $1000 / kg most people will switch to using pasta or rice for their dinner instead. There might be a shortage of potatoes at $1 / kg, but not at $1000 / kg.
If my 7-year-old computer were to die tomorrow I would've normally replace the entire thing. It has had a good life, the newer generations of hardware are a decent bunch faster, and it would be nice to get some additional features. With current RAM prices? No way I can afford to upgrade to DDR5, I'll have to get a replacement AM4 motherboard / CPU to fix it.
> I don’t believe scalpers are an issue in B2B
They are called "speculators". DRAM is a commodity and is traded no different from, say, potatoes. It's why there are companies like DRAMeXchange. DRAM module assemblers like Kingston, G.Skill, and Corsair will buy chips from whoever gives them the best deal. Similarly, anyone assembling hardware using DRAM will have stockpiled it when the AI boom became noticeable - with some almost certainly selling it off now that it has become too valuable to use for cheaper products.
My MacBook is showing its age, though. Hearing that 2027 wont be any better makes me hopeful all the vibe coders can ask for memory efficient implementations to stretch existing hardware a little further.
In a lottery, the goods are misallocated to a bunch of people who aren't getting the most value out of the goods, creating economic inefficiency. A bunch of GPUs would be sitting in warehouses waiting to be resold (either when the price goes up, or in the inevitable black market), or in my basement screwing around with them, instead of being deployed in a way that the most people can benefit from creating maximum economic value from their deployment.
Your gaming PC isn't as economically valuable as JPMorgan using AI for fraud detection, for example.
Moreover, if you are appointed god and force everyone to sell GPUs at one dollar just because you want cheap GPUs, then this is the last batch of GPUs that will ever be produced and you'll have a shortage until the end ot time.
Sometimes this works and sometimes it does not.
If you happily sell apples for $1 and see a hungry person walking towards you, must you raise the price?
I think that basic thought gets lost sometimes when people talk about shortages causing the price to increase. The shortage didn’t cause anything, some executive decided they want more money. That’s all. There’s nothing inherent in the system that requires it. Whether that’s OK or not is up to the reader, I just think people lose sight of the reality and talk about it like it’s gravity, rather than simple decision making.
> Now, you could raise prices to the point where you destroy demand.
You know supply and demand is like a curve right, you can find an optimal equilibrium? It’s not a cliff that you can fall off.
I’m confused because this reads like a denial of basic economics. If the price is high enough, the chip will be produced for you.
Do you mean because of the production lead time, higher prices won’t result in increased production? Commodities like corn have been managing this for a long time… what’s special about chips?
What is your actual argument?
Samsung, SK Hynix, and Micron have a combined market share of 90% - with most of the rest being a very new-to-the-market CXMT. It is a cutthroat market which behaves like a stereotypical "pork cycle". Semiconductor fabs cost billions to build and take years to complete, so you better be damn sure you have buyers before you start constructing one. You and your competition overestimated the demand? You have to pay back the construction cost, so you're now in a race to the bottom and one of you is going bankrupt.
Ever wondered where Intel came from? They started out as a DRAM manufacturer, which dominated their revenue well after the introduction of their first microprocessors. But in the early 1980s the glut of supply from new Japanese manufacturers made it so unprofitable that they had to ditch the memory market altogether. The stories of Texas Instruments and Motorola aren't much different. And that's not even mentioning the likes of Mostek, which once held a 85% market share and was dead less than 5 years later! Oh, and those Japanese manufacturers? All gone, pivoted like Intel or died like Mostek.
So no, the three remaining DRAM manufacturers aren't going behave like headless chickens and start ordering new fabs just because there's a bubble causing a temporary demand peak. Unless those AI companies are going to pay in advance, in cash, for an entire fab, they'll just have to wait and deal with the price increase.
So it's more "what's special about corn". It is also fairly hilarious to claim the parent is denying basic economics and then bring up corn as an example of having successfully managed economics. If the scales were not being thumbed, and "basic economics" were in play, corn would be in very very bad shape.
In the case of DRAM, there is an incredibly long history of these gloom/glut cycles, and they have stayed roughly the same timeframes (~3 years) since the 1990's.
Almost all the ones who have survived this long are either in the same kind of boat as corn - protected in various forms from the downside - or don't increase production and get caught out until they are absoultely forced.
The very temporarily increased profit is not worth going bankrupt for - they make more money long term by being very cautious and know this.
There are a near infinite number of economic studies you could look at (and several sibling comments cite some) - DRAM manufactuers don't chase the price and probably couldn't anymore if they want to.
None of this denies basic economic theory, of course, since economic theory is not exactly "rigorous", even to the degree it could be (IE even the parts that are pure analysis of data rarely reproduce!).
Memory is just too useful now that you can use it to drive cars and write code.
In any other business choosing (2) would mean someone else swoops in and steals all your business. It doesn't look like this is at all possible for memory fabs.
Which directly leads to the next big development: all the big players are investing in silicon with "baked-in" models, like [0,1]. Turns out you don't need an expensive general-purpose GPU with heaps of RAM to contain a model when you can make a custom ASIC around one specific model! Why spend a fortune on DRAM / HBM when all you need is some finetuning parameters which are easily stored in on-die SRAM?
[0]: https://www.theregister.com/systems/2026/08/06/amd-acquires-...
[1]: https://thenextweb.com/news/google-frozen-chip-gemini-silico...
"If the price is high enough" is of course technically true, but the scale of what high means in this context is important.
Maybe you could pay someone else who is less desperate to part with some, but that does not increase supply.
Nine women cannot produce a baby in a month, even though you could average about one per month if you wait about nine months.
That's really interesting, and I wonder why? I believe HBM has redundant ECC bits by default, which would add a few %, but other than that, is it just that the yield is much lower due to die stacking? Of course, this is a 2024 document so things may have changed a bit since.
In order to get high bandwidth, you want memory as close as possible to the GPU. The more trace lane length = signal loss, bandwidth loss.. HBM is compact, and so you can stack 24GB modules, 8 around a GPU die.
If you tried to do that with normal memory, you need like 64 modules. So a a TON of traces more that all need to be equal length, and because so many = far away from the GPU = less bandwidth.
The issue is like stated above, its a process that waste a ton of wafers. Wafers that can make easily 3x more normal memory.
Intel with "Crescent Island" is trying to make a 160GB card using LPDDR5x memory but the bandwidth is only ~700GB/s.
The base interface die has eight or 12 memory dies stacked on top of it. The wafer cost of that interface die is therefore small.
If the process of die thinning and TSV stacking reduced yields by a factor of three, nobody would consider HBM mature enough to put into production, and especially not mature enough to be increasing stack height from one generation to the next.
Trace length has approximately nothing to do with die size. If anything, designing for shorter traces means you can get away with smaller PHYs at either end.
What might go some ways toward explaining such a huge difference in die size is that the TSVs themselves take up significant die area and must be fairly numerous to carry both a large number of signal wires and all the power and ground required by the stack. But it's wildly implausible that the die area consumed by the TSVs would be significantly larger than the die area consumed by the memory arrays themselves, or that anyone would build a memory die where the memory array was not a large majority of the total die area.
If there's any truth to that ~3x higher wafer requirement for the same number of bits as compared to DDR5, it must be a combination of several factors and probably includes something non-obvious and dubious, like counting all the area of the passive interposers that go between HBM stacks and GPUs (those interposers aren't competing for the same fab space).
What the freaking hell.
GPU is mostly fine and can probably reuse that but it’s Vega so not the greatest I was due for an upgrade but the prices of everything is ridiculous.
The thought of pc-of-Theseus’ing my busted ass PC is just sad.
Thank god I bought a PS5 Pro before Sony started jacking up the prices.
I remember when buying a $300 GPU was extravagant and gave you state of the art graphics.
Pick any B550 with a VRM heatsink for $90, a 5600 for $190, and you are back in business.
Get a 5070 or 9070 before GDDR supply is completely gone if you want an actual upgrade.
As for GPU price, that Vega 64 was $500 in 2018. Even a midrange GPU hasn't been $300 since the Radeon RX 480 launched a decade ago.
The PC I replaced when I bought this one was such a huge improvement.
My options basically boils down to fixing trash that’s falling apart or a sidegrade at best for the same price as what I bought a beast of a PC for 10 freaking years ago. Depressing.
I agree that the current situation sucks, but I don't think one can say it locks someone on your situation out of your game collection.
(edit: misremembered, $2000 is not the price of the game collection)
Point is, quite a lot of hardware can still do a lot. I have a Ryzen 5500U-based laptop that still outperforms the PCs of most people that I know (non-tech people).
Though in my case I feel like I have to get a loan to buy a workstation + an actual gaming PC for my wife. That all is beginning to look like at least $15k... yikes. But I am not sure I can wait until 2028 to see if things _start_ normalizing... Depressing indeed.
I've built two PCs in the last 5 years and both have had parts that were broken from the factory... There is something to be said about being able to hand off troubleshooting and replacement. I had ASRock pointing fingers at everything else to the point where I had swapped out CPU, PSU, and RAM, until they relented and replaced the motherboard (the replacement which is broken again now 5 years later by the way...)
My solution is to see what four or five-year-old equipment I can buy that will let me run local LLMs. I may only get six or seven tokens per second out of an i7, but it's a start. And best of all, I can turn the machine off when I'm not using it.
IMO, Migrating to small-scale local LLMs would be a significant improvement over using data centers.
LLM serving is most efficient when you batch a lot of parallel requests together. Data center solutions also have the advantage of collecting queries from around the globe, so the hardware can be utilized around the clock.
Having everyone serve their own local LLMs would produce a lot more memory demand. Not less. The same memory would be idle most of the time, and when it was used it would be used for 1 person instead of a batch of requests.
There are other reasons to run local LLMs, but solving hardware demand problems is not one of them.
This shift is probably inevitable, but it will vary significantly by region depending on prices for electricity. Look at, for example, the difference in fundamental homelab build recommendations between Germans and just about anyone else. Electricity prices in Germany are so high that even a now expensive Raspberry Pi or other ARM board is often preferred over Intel/AMD builds due to low power draw (especially low idle power draw), an effect that adds up for a machine running all the time over years.
With local LLMs and the GPUs to run it, especially if you want a model available to you all the time and can remote into your local network to use it whenever you want, there's no escaping much higher power draws, even at idle. Wherever electricity is expensive, the electric bill can be a prohibitive barrier.
Eg: I shaved ~40W off the idle load on a server (250->210W) by doung nothing more than removing the redundant supply
A college buddy used to work at Motorola (I'm naming the company because they wouldn't mind this story being shared) back in the late 90's or early 2000's. They had redundant power to their campus, bought from two different companies, coming in on opposite sides of the campus, so that even if some backhoe operator cut a ground-based power line somewhere, they wouldn't lose power.
And yet, one morning, the power went off all across their campus. After a little investigation, they sent pretty much all their employees home at noon and told them "take the afternoon off, don't come back until tomorrow, you wouldn't be able to do any work anyway". Turns out that although the power lines came in at opposite sides of their campus, somewhere a few miles away both of the power lines feeding their campus ended up running through the same underground conduit. And yes, a backhoe had managed to cut that conduit and break both of the lines they depended on at the same time. They had a single, VERY non-obvious, point of failure, and the backhoe had unerringly homed in on that SPoF.
I'll second this. The combination of Whisper + LLM makes speech recognition fantastic. I occasionally have arm pain from typing, and this is a Godsend.
I don't use it to write code - but in my experience stuff like emails + docs was the greater source of pain (one generally types slower while coding).
The average consumer isn't purchasing a lot of products with a lot of RAM every year.
Their 8GB of RAM phones will go up in price a little bit, but people aren't buying phones every year or even every other year.
So if the price of the 8GB of LPDDR went from $40 to $160 and it's all passed on to the consumer buying a new phone every 4 years, that's an extra $30/year in spending.
Most adults I know now use their phone for everything, so they're not buying new computers and laptops. They can wait 3 years for the market to settle before upgrading those, too.
Even I'm a heavy buyer of tech products and RAM, and I would bet you that my family's annual food bill fluctuates by more than what I've had to pay for RAM prices growing.
Many smaller companies will have issues getting enough, but even they could buy something with memory and rip it out. When you're willing to pay a hefty multiple, you can outbid other people. The shortages are not nearly bad enough to escape standard supply and demand.
>Most adults I know now use their phone for everything
You mean the cloud for everything. A lot of phone tasks share their computational and storage workloads off in the invisible ether that has actual computers with real costs behind them. Amazon has no problem with bumping up their costs in order to pay for their fleet of servers. I mean, what business doesn't use the cloud these days.
In the shorter term, you’ll probably see more “base” models on offer with some of the most intensive features disabled. There’s still going to be all of the telemetry stuff that makes them money through third parties though.
Isn’t it just… prices?
Total imports are maybe 14%? But not as highly tariffed.
https://pcpartpicker.com/trends/price/memory/
Most recent one I bought a multi-tb hard disk, but got an old multi-gb disk shoehorned into legitimate box. Couldn't just get a replacement - had to buy one for more money since that drive's price had increased.
Your computer already supports that. It's called "swap".
CPUs have L1, L2, L3+ caches too after all.
USB would be the limiter for both.
The M10 are over produced and only PCI-E 3.0 2x lane devices but 16GB of DDR5 is going to cost over $200.
You can do the same with USB-C M.2 adapters but the adapters cost more and eww USB for Swap, hope the device never drops.
https://www.amazon.com/GLOTRENDS-Adapter-Aluminum-Heatsink-P...
I suggest using an 1x PCI-e adapter because putting a M10 in a M.2 slot is likely going to only have 2 of 4 PCI-e lanes in use. You have to figure out the tradeoff of using a Swap on your, now very expensive as well, Flash storage that may have flashier sequential read and write speeds but doesn't have the ability to sustain random read and write performance which is what a Swap is going to use the most.
There are faster Optane drives that use 4 PCI-e lanes or even PCI-e 4.0, but they get pricey quickly, so you should just buy ram then. The deal is the 16GB Optane on an unused 1x PCI-e slot.
In any case DDR3 isn’t nearly as bad price-wise and would have much better energy efficiency than stacking 1–2 gig sticks.
For starters, The slowest sticks of DDR(x) are often slower than DDR(x-1). The issue is never capacity, but rather, performance.
The real nonsense? USB? It's a mess. Pick a USB cable and buy it from ANY retailer, let's make it easier, buy a USB-C cable. What is the data rate (depends on cable quality and length), Does it support power delivery? If so, how many watts? (~5W requires a very different cable from ~230W), how do you know from simply looking at the cable? If you buy a cable, how can you tell what it supports by simply looking at the connector? Imagine having a box full of USB-C cables. Could you tell me how fast each of those cables are? (The cables themselves don't! Many don't have any markngs at all, and if they do, the markings could be fraudulent)
RAM does not have that issue. A stick fits or it doesn't. Sure, there are a huge range of speeds, however, that range has a ballpark (JEDEC defines the ballpark, the "cartels" make the memory and push out some faster stuff).
While there are definite exceptions (I was bitten by one recently), you can generally plug in a DDR5 DIMM and expect it to work in the system.
The same cannot be said for USB. Some USB cables ONLY deliver power. Some only work with certain devices. I've USB-C (!!!) cables that only work with the devices they are shipped with, and even more annoyingly, the both may be true! ASUS (!!!) ships MOTHERBOARDS that can only pair with vital hardware via very specific USB-C cables (Strix Hive) and "GLORIOUS" ain't so glorious. Their mouses warn you not to use other USB-C cables, and they are right, depending on the make/model/generation, you can brick your "glorious" peripheral.
No, USB nonsense needs to stay far away from anything else.
Also, the reason this is a huge issue is because the memory makers are cartels. Only a few of them exist, they gang up and bully EVERYONE and nobody has ever invested money to create a competitor due to this, except China, which of course means that the U.S. and portions of the E.U. are insta-banning/trying to insta-ban, even though it is really freaking hard to install spyware on a memory module.
Okay, let's assume it's a USB-C cable and not just something USB-C shaped that pretends to be one.
> Does it support power delivery?
Yes.
> If so, how many watts?
Always at least 60W (3A). Up to 240W if it's e-marked.
> What is the data rate
Depends whether it's a USB 2.0-only cable (480Mbps) or a complete cable (20Gbps). Possibly more in Thunderbolt or USB4 modes - cables that handle those will be marked (both visually and with an e-mark). In any case, pretty easy to check just by plugging things in.
If we're counting fake products then we need to count those RGB sticks that have no RAM in them.
HP, Acer and Asus are now using them
https://asia.nikkei.com/business/china-tech/hp-asus-and-acer...
Pretty sure those devs were saying the same thing way before 2017 as well, which seems to be ~ the last time RAM was this expensive.
Now RAM in the cloud, now you're really paying the Java premium.
Since that peak in 2014 until today, the prices were lower than now. The peak in 2017 was more than 10% lower than today.
To reach permanently higher prices than today, we must go backwards until 2011.
So we have already regressed at least 12 years into the past, but more likely 15 years, and it is unknown how much more we will regress.
It seems worth noting here that DDR5 RAM is faster than DDR3 RAM, and was not even available until 2020.
1. Make extra greasy pizza. Nauseating-level of grease.
2. Put pizza through De-Greasinator 5000.
Sounds efficient.
Were devs supposed to optimize RAM for a shortage that might come? I’m guessing you had enough foresight to stockpile RAM?
1) .net app, one text field, one button; private bytes 22mb, working set 27mb
2) native app, two text fields, three buttons; private bytes 1.2mb, working set 7.3mb
Just tested
Posting instead of researching in hopes someone smarter can chime in, because I'm lazy.
Also, you have Meta and Google investing in simplified performant versions of their stack for developing countries which is similar.
What's funny though, I see people that sometimes says it's cheaper to build the app they need in a single prompt than to search for it.
Moore's law is alive and well.
Or lease a laptop from Apple if faceputer's aren't as much your style.
"The original retail price of the computer with 4 KiB of RAM was US$1,298 (equivalent to $6,900 in 2025)[21] and with the maximum 48 KiB of RAM, it was US$2,638 (equivalent to $14,020 in 2025)"
For the skeptical ones: Somewhere people are already being cut off from state and financial institutions without proprietary software with bundled security certificates, applications are bound to collect data on the environment they are used in (other apps) and organizations deliberately limit access to their services or cripple them without their applications (can't do things from a generic web-browser).
The words after this point make you less convincing, not more, as they only serve to confirm the egregious slippery slope of your reasoning.
(PS: It is time to let ASML sell to CXMT.)
Other manufactures like Micron do have aggressive expansion plans, but fabs take a long time to build and bring online - multiple years.
https://www.guru3d.com/story/cxmt-dram-capacity-reportedly-s...
Traded as CUSU for end-users: https://en.twsc.com.cn/enCUSU/index.html
Why? High demand and low supply is very good for shareholders and make indexes go up, their goal is not to meet demand, they want exponential qurartly revunes
To me it seems like they’re just riding the AI hype out, expecting a crash after, and not willing to risk a lot of capital on someone else’s bubble.
If memory is now upstream of so many companies, then maybe a higher regulatory involvement would be appropriate (like power companies).
Specifically, and it could fix all of this, capping the max % of their supply they're allowed to sell into the AI space.
The arguments for infrastructure being managed more tightly by the government is because it's a natural monopoly that everything depends on. Memory isn't a natural monopoly, if we found ourselves in a spot where we all depend on 3 companies then that's not a law of nature, we need more companies.
The big three are also expanding their capacity. IMO, it seems to make more sense to sell equipments to those who could make better, efficient use of them. ASML has a backlog of €38.8 billion and is fully booked for 2027.
Couldn’t intel repurpose some of its fabs (maybe the old ones?) to produce memory?
I’m no expert but… seems like an easy win?
I had previously ordered from Aeonfly, but they cancelled my order--likely because they wanted to raise the price.
Do deliver and they don't get paid because the buyer purchased with money that doesn't exist.
Lose-lose situation!
What we got in 2008 was central banks (eg Fed and ECB) willfully collapsing nominal GDP in their economies. Have a look at the dot-com bust or Black Monday for comparison.
What on earth are you talking about?
The credit risk was a very real problem; Kaupthing, Anglo Irish, RBS, Lehman etc.
In 2008 they didn't. Instead they actively tightened monetary policy by eg introducing interest on excess reserves. The ECB even hiked interest rates.
Companies defaulting on debt doesn't need to bring down the economy.
For the US, you can also see how the construction sector had been winding down for years (eg as measured in construction employment) without an impact on overall unemployment. The crisis was entirely avoidable.
See https://www.cato-unbound.org/2009/09/14/scott-sumner/real-pr... for a bit more background.
Take what's currently happening to Flock cameras as an object lesson. People are so fed up with Flock that they're cutting their cameras down en masse, sometimes wiping them clean from entire jurisdictions. Tens of thousands of other people in those jurisdictions are cheering them on, even offering alibis for them before they've been caught. Law enforcement doesn't seem too keen to catch them either. You absolutely can be so hated that the law will not be enforced to protect your property.
If AI companies don't slow down and build some good will, AI data centres are probably at risk. They'd probably have been targeted before Flock were they not harder targets. A higher degree of cooperation and organization will be required to sabotage them, but it would be foolish to believe it won't eventually happen.
Monopolizing memory production for another year suggests that lessons have not been learned, the mad build-out will continue, and we're headed for some truly crazy stuff.
And if AI is putting people out of jobs and making everything expensive - or that's just the perception - that's gonna set AI back for years.
Civil disobedience? In this economy?
It seems inevitable that these lost cameras will simply be upgraded to drone fleets. Not an identical replacement, but still "good enough" for the original purposes. Had they anticipated this problem and skipped the first phase, it might have been harder to manufacture consent for privacy invasion. But now anybody who was okay with the original cameras feels like a victim having them torn down, which makes it likelier they'll be okay with drones everywhere.
> Tens of thousands of other people in those jurisdictions are cheering them on, even offering alibis for them before they've been caught. Law enforcement doesn't seem too keen to catch them either. You absolutely can be so hated that the law will not be enforced to protect your property.
At least one third of the country is still okay with them, because they believe it helps rid them of illegals and deter crime, with downsides small enough to ignore, in their mind.
In sum, we don't have as much control over these things as you seem to believe. Capital was always in control with its crude but effective propaganda pipelines to manufacture enough consent. Now imagine those pipelines becoming even more effective thanks to AI. Not looking good.
Who cares about those people? I would argue even they themselves hardly do. And sure, they'll be even more okay with even worse stuff, and that even worse stuff will be even more hated by even more people, whatever the people who are "okay with" (that can mean ignorance, obedience, or evil intent, but it's not justification). If they can be okay with mass surveillance they can be okay with other things, so they're basically a wash, they're just okay with stuff.
> At least one third of the country is still okay with them
Then they can be okay with the majority saying you know what, we're sick of you, you can either stop having your toys or you will be segregated from us and live under your own surveillance. "Being okay with something" isn't some magical wand or a fortress, it's just a limp shrug. It means "pass".
> In sum, we don't have as much control over these things as you seem to believe.
I don't see the connection with the sentence before that, which is a minority being "okay with" something and a majority willing to fight and out there doing it. It's not about controlling what a minority of people are okay with, it's about changing what is done. The people who are okay with stuff can go read a comic book until it's over, how does that not solve anything you raised about them? Or are you saying their being okay with stuff should be respected or even heeded? Couldn't they just make that claim themselves, if they wanted to?
Imagine a raging house fire, people stumbling over each other trying to help, and some guy steps up and goes "WAIT!" they all look at him, sure he has a major contribution for interrupting something like this, a good idea, a plan perhaps; and he goes "... I'm actually okay with this."
It's not the majority, though. Roughly speaking, among adults, we have:
* 1/3 who are willing to vote for the red flavor of lesser-two-evils (some of them don't even register it as evil)
* 1/3 who are willing to vote for the blue flavor of lesser-two-evils (some of them don't even register it as evil, including when it literally manufactures consent for the first third to win next time around)
* 1/3 who see the above as a uniparty of capital interests offering the illusion of democracy through "close" elections as the bullshit that it is.
I wouldn't do that unless you want your airspace filled with birdshot
Nobody wants this robber baron shit
https://www.datacentermap.com/usa/michigan/ann-arbor/related...
It's all fair game IMHO, except the elephant in the room which is that the AI company bubble might pop.
It is also a term use in general trading anywhere traders open and close their positions quickly to make profit off an upswing which might be in part caused by traders doing this. If done with inside knowledge it is illegal, in this case more commonly referred to as “front running” (which is what many suspect happened with numerous ahemfortuitous/serendipitous position changes around announcements of changes in the state of the US vs Iran situation).
> Also, these companies supposedly intend to actually use the RAM they ordered, not reselling at some inflated price.
As well as the companies ordering for the purpose of DC roll-outs and upgrades, there will definitely be some buying purely to sell at a higher price a short time later.
> It's all fair game IMHO, except the elephant in the room which is that the AI company bubble might pop.
[and with reference to the sibling reply to this: “Then we'll have a lot of cheap RAM.”]
I don't think it will pop with a sudden bang, and even if it is it won't affect these memory sales or probably those for 2028. The first real effect will be those using the AI tools suddenly finding themselves needing to pay a lot more for them as companies offering those services deal with reduced access to “new” credit from the circling investment pool shore up their fanciful accounting that way instead. The DC builds/upgrades that are currently planned will happen but more funded by end users and less by the investment cycle. New plans might not be actioned at the same scale, but it will take a while for that to affect component prices as there is a lot of lead time involved.
A year ago the SOTA was GPT-5/Opus 4.1/Gemini 2.5 Pro, two years ago Sonnet 3.5.
Looking at Opus 5 for SOTA performance and GPT 5.6 Luna for a viable cheap alternative, AI is much more capable now.
Honorable mention: GPT 5.6 Sol on Cerebras, capacity limited to a few customers, is supposedly serving 750 tok/s.
Compared to 90 tok/s for non fast mode 5.6 Sol, 56 tok/s for Opus 5, and 190 tok/s for 5.6 Luna.
I am very curious about the next generation of models, GPT-6/Astra is rumored to launch still in August. Not sure what is the state of Anthropic's next Fable checkpoint.
If these models also deliver significant improvements, I really do not see how one could seriously still argue among the lines of AI being a scam, and the demand not being there to support the size of the investments.
I don’t think most people are saying it is purely a scam (well, some do but I don’t think they are to be taken seriously). What all these talks about circular financing and VC money are saying is that demand cannot sustain the sector long-term, not that there is no demand. People are certainly happy to pay say $20/month for whatever AI chatbot, but would they still pay if it were $200/month, which is closer to the actual costs.
There are several other details that point towards a unsustainable projections:
- measurable benefits from AI-ifying companies are nowhere near what is commonly believed. AI providers are hoping that they can keep the show going until the models are good enough, essentially faking it until they’ve made it, but that is not a given. It is also unstable because it is susceptible to change in public opinion.
- permits for new datacenters are not going to become easier to get as public opinion keeps turning against them. They will have to concentrate in friendly regions, which will add cost (more demand for the same location, plus interconnection for network and electricity, both of which can easily become bottlenecks).
- the electric grids are not ready for all those planned datacenters, so something will have to give. Building more and more on-site diesel generator in times where oil supply is so constrained and random is not very sustainable either.
- eventually the loans will come due and if earnings do not match there will be a, possibly severe, correction.
If we look at the historical example of the dot-com bubble, the crash was not caused by no demand. It was just caused by over-estimated demand and too much money going to a single sector of the economy. We still use the Internet, and it is still hugely important, but the correction was still severe and real people lost real money.
- Chatbot usage in $20 plans is likely nowhere close to a $200 cost.
Inference cost has come down rapidly, with reports from July claiming OpenAI can now serve all of the logged out ChatGPT traffic on just a few hundred GPUs.
- Measurable benefit: I doubt anything of value is being measured. MS Copilot with GPT 5.5 Instant processing SharePoint files? Developers using AI as a fancy autocomplete under a "I review every line" regime?
I rely on my personal value judgement, based on 30h/week I spend using AI outside of my regular job.
I am developing a mobile app, competing with companies with millions in revenue and entire dev teams. I know it is viable. Others lag in effective adoption, their opinion is likely to change soon with even more capable models.
- data center projects in the US: They look to me to mostly be constructed in the most remote backwater. If even there projects with such moderate environmental impact cannot be realized, that would be an embarrassing policy failure
- the grid: I think that one is true. AFAIK the constraint would be gas turbines, not diesel, and oil supply is not structurally constrained
- the loans: Anthropic is rumored to have become profitable earlier this year because of large growth in enterprise revenue. It does not look so bad to me
To add to that, as an ex-software dev that mostly works in a semi-unrelated field now (and can only code as a small part of my job): I think a lot of software devs are underestimating what someone with reasonable technical skills and specialised domain knowledge is able to create with AI.
I honestly wouldn't be surprised if, in 5 years' time, the majority of software used by (e.g.) potato farmers was primarily created by other potato farmers. The code might still be less elegant but I think it will be easier for the potato farmer to iterate with an AI than outsourcing to a dev firm.
I have little doubt that a competent potato farmer could possibly implement and sell such software today using Opus 5, Fable, or 5.6 Sol.
Now what I am going to say next may sound a bit crazy, and it is outside of my area of expertise. I hear the recent mathematical breakthroughs made by GPT-6/Astra are field medal worthy discoveries.
What if the current trajectory of improvement holds for another year or two?
Is it impossible that LLMs gain superhuman ability to reason over a large number of constraints so that they can make novel breakthroughs unimaginable to us today?
What I hope to see in five years is not potato farmers writing software, but programmable immune cells that safely kill cancer.
Perhaps I am an optimist.
AI grows and grows and becomes god and kills us all.
How did it all start? Oh we invested all our money in AI.
surely they cant doing the same for 2028 right ??
We rewrote all our Python code in Go because the RAMs too damn high!
Besides the AI craze, to me it sounds kinda reasonable. Most large buyers (apple, public clouds, OEMs) do forecasting and orders in advance, right?
Not sure if that's what you've meant...
I would expect that old DDR4 machinery to end up somewhere else, still chugging along. Maybe someone buys the old production and keeps chugging low quality DDR4 or something.
To me, it sounds like that didn't happened. Fabs that were producing legacy DDR4 are still producing it, just selling it higher and surfing on the consumer price increase of DDR5. As DDR5 became more expensive, people looked to build old AM4 PCs with the older memory, and the market just raised the price so that option would also cost more. IMHO DDR4 price increase has nothing to do with production.
I built a new gaming PC with DDR4 two months ago and it's pretty great. For servers RAM speed usually matters even less.
There shouldn't be much issue converting those 16nm DDR4 fabs to DDR5, it's really just an issue of swapping out the masks. That's assuming they haven't all already been converted years ago.
Even when there isn't an overlap, moving to the next process node usually isn't so much about replacing machines, but adding more machines. To oversimplify, you might not be able to convert one older DDR4 fab to DDR5, but sometimes you might be able to convert two older DDR4 fabs to one DDR5 fab.
Such conversions might not be the most cost-effective option in the long run (that unmodified fab could have kept selling DDR4 for years), but conversions might be significantly faster than building new fabs.
Like everything related to it being a clean room; All the logistics robots which move wafers around; All the machines that deposit layers of material like CVD/AVD/Sputtering; The various machines that do the actual etching; The furnaces; The inspection and quality control equipment;
Also, absolutely everything to do with dicing and packaging. But that's usually already at another factory (often a completely different company) due to how process agnostic it is. Same applies to growing and prepping the silicon wafer.
I'm posting this from a machine that uses DDR3 and is still perfectly capable of meeting my needs.
Nothing prevents wholesalers from selling their memory or memory futures at a loss, as that is a risk that is justified by equal possibiltiy of the memory appreciating in excess of inflation.
https://www.polygon.com/ram-manufacturers-sued-supply-price-...
SK Hynix's suppliers are also under investigation for anti-trust behavior in South Korea.
https://en.sedaily.com/society/2026/05/29/prosecutors-raid-s...
Game: Just buy up all the RAM...