Meta reuses old RAM in new servers with custom bridge chip
ihsw · 5 days ago
7 comments
ihsw · 5 days ago
7 comments
westurner · 5 days ago
ScholarlyArticle: "Vistara: Making CXL Real—Full Path from ASIC Design and OS Support to Hyperscale Deployment" (2026) https://aisystemcodesign.github.io/papers/isca26/vistara_cam...
TIL there are 2x 2.5GbE PCI-E HAT adapters for Pi 5.
How to attach RAM to the new NVLink/UALink fiber buses?
rock_artist · 2 hours ago
The interesting part of this "RAM crisis" is similar to other fields where a problem results multiple parties looking for alternative solutions.
This yields for exciting ideas or workarounds that might result a post-crisis memory boom (hopefully) also for local machines.
1. Lowest, Apple is evaluating new Chinese manufacturer which means change of supply demand if indeed it has reasonable QA. (https://www.ft.com/content/f4ac5c92-03be-4499-b16a-017a7e9ee...)
2. Companies tries to workaround performance - suddenly single channel is 'ok' ? :) (https://www.gigabyte.com/press/news/2403)
egorfine · 1 hours ago
> suddenly single channel is 'ok'
Single channel RAM surely beats any disk-based swap.
tonyedgecombe · 35 minutes ago
Necessity is the mother of invention.
dofm · 28 minutes ago
Necessity is the mother of invention, after all. One of the oldest concepts in intellectual thought.
There is a tight resource starvation/motivation loop — the demand put on RAM and SSD and GPUs by the largest frontier models is a direct motivation to make smaller LLMs. Like an evolutionary pressure making animals smaller and more food-efficient.
These smaller models, once successful, are still likely to consume more RAM and SSD and GPUs than any other application short of high quality video processing itself (the smaller LLMs and higher end video processing seem to have about the same needs). But the resources would distribute through the market more traditionally, leading to less insane cycles.
So it seems to me that the way out of the RAM/SSD price cycle crisis that manufacturers are in — where the price fluctuates between high and low due to supply constraints and then oversupply from new production capacity - is for them to fund research into smaller LLMs. They'll still sell essentially the same amount of product. Maybe more.
HumblyTossed · 21 minutes ago
I would love it if we started designing software with hardware constraints in mind again.
rob74 · 2 hours ago
Why not go directly to the source article that has a lot more details?
https://www.theregister.com/systems/2026/06/29/zuck-saves-me...
embedding-shape · 1 hours ago
> Why not go directly to the source article
Which seems to be the sister site of Register; https://www.blocksandfiles.com/architecture/2026/06/26/panmn...
pjc50 · 1 hours ago
Source paper linked is https://aisystemcodesign.github.io/papers/isca26/vistara_cam...
From a quick skim, you could think of this as roughly equivalent to shoving a large amount of DDR4 on a PCIe card and using it as a swap space. It's more sophisticated (see CXL protocol), but that gives you an idea of the tradeoffs. It seems there is some OS-level support for moving hot/cold pages between the main fast DRAM and the expansion higher latency DRAM.
It's a very valid point that DRAM has a fairly long lifetime and contains significant embedded carbon emissions, as well as the current availability crisis of new DRAM.
herodoturtle · 49 minutes ago
> and contains significant embedded carbon emissions
Hi - thanks for the insightful comment - could you please expand on the above?
Genuinely curious :)
lmz · 46 minutes ago
"a lot of carbon was emitted while making it"
NDlurker · 17 minutes ago
Reduce, reuse, recycle
jzb · 1 hours ago
It’d be nice if there were a consumer version of this. I have plenty of old RAM.
keanebean86 · 18 minutes ago
Gigabyte had a ram disk addin card years ago. Not exactly the same but since it's presented as a storage device you could use it as OS swap space.
lizknope · 1 hours ago
There are standard product CXL memory expander chips if you don't want to design a custom chip.
torginus · 1 hours ago
With regards to RAM price I never understood the following: A 16GB RAM stick has 16*8=128 billion bits, with 1 transistor per bit, thats still 128B, yet its supposed to cost like $60 before the price hikes? In contrast, a 5090 GPU was $2000 (true it has RAM, but you're paying for the GPU ASIC really, I guess the rest of the GPU was less than $500), it had 93B transistors.
GPU transistors are smaller due to the more advanced process node (cost per transistor metrics aren't really clear, if they improve on advanced node or not, but I'd say they get cheaper as they get smaller, as technology costs are amortized).
I'm sure both RAM and logic use a process that is quite similar in both inputs and manufacturing steps. So while RAM is a commodity product, this insane price difference didn't make any sense.
So I guess when those fundamental inputs become a constraint, it would make sense for $/transistor move closer for both, which is a massive hike for RAM.
Lomlioto · 1 hours ago
A GPU Transistor is a lot more complicated than a RAM transistor and the size of these are quite different too. Bleeding edge vs. a known process with know machines and written off machines.
Also you calculate in the machine cost and R&D.
RAM hiked because the demand spiked and these companies are now in power. Before apple and other companies told them the prices and had hardly any money for investment.
mschuster91 · 1 hours ago
> So while RAM is a commodity product, this insane price difference didn't make any sense.
Supply and demand coupled with the fact that a RAM fab can't (trivially) output compute chips, and vice versa, a compute fab can't output RAM. It's two completely different supply chains.
rmu09 · 58 minutes ago
The thing that defines performance of DRAM is AFAIK the capacitor of the bit cells and not the transistor driving it. And also AFAIK the process to create those capacitors is quite unique to DRAM, so you can't just go and use a "logic" process unchanged and produce DRAMs.
adastra22 · 57 minutes ago
Why would you expect smaller transistors to be cheaper?
ismaVQ · 56 minutes ago
newer process node are smaller but very expensive compared to mature ones, each wafer from TSMC latest process is costly and with lower yield due to GPU large die size (+700mm2 compared to around 60mm2 per DRAM die)
rcxdude · 53 minutes ago
Chip fabrication processes are not fungible: GPUs and CPUs might be made on roughly the same process, but DRAM is not (flash is a different process again, as is power electronics, analog electronics, MEMS, etc. And even within those broader categories there are different variations). While there are some overlaps in machines and techniques, a fab set up for one cannot generally switch to the other, and the economics of each process can also be drastically different.
joha4270 · 30 minutes ago
You're not the first person to say so (and I don't mean to dispute it), but I have never been able to find a clear answer for /why/ those processes are incompatible.
Is it built in different silicon, is it physical steps that's incompatible (ie its actually incompatible), is it different physical preparations that needs to be made (making it economically infeasible to combine)
I cannot help but wonder, even if the answer doesn't change anything in my life.
jahnu · 14 minutes ago
https://www.reddit.com/r/Semiconductors/comments/r1dqmw/how_...
A Reddit user explains a bit here.
gloryjulio · 36 minutes ago
RAM is a commodity. It has much less moat to prevent competitions. When the rams flood the market that's when the bubble ends, until the next cycle arrives. Processors are much harder to design and commoditize.
WmWsjA6B29B4nfk · 19 minutes ago
On top of everything said, 5090 die size is 10x than typical DDR5 die size. One RAM module is 8-16 dies, so you do get more silicon in the end, but larger dies are extremely expensive to produce due to sharply decreasing yields.
dana321 · 10 minutes ago
Supply-demand economics really went awry in the age of chasing agi