Posted by ihsw 5 days ago
I remember being able to borrow a computer from somewhere when Diablo II had just come out in 2000 which had a 450Mhz Pentium III and 64 MB of RAM. 64MB of RAM was probably mid-tier at the time, i.e. very much not a given. As I recall Diablo II recommended 64MB for single player and 128MB for multiplayer (or above 4 players or something).
The computer I'm writing this on has 64 GB of RAM, 1024 times as much. By comparison I have a 20-core Intel CPU with up-to 3GHz speed or somewhere around there, even pretending each core could run at that max speed simultaneously (which they can't), that's only 133-times as much CPU power.
Maybe the NVMe read times are as/more significant than memory size increase, but the metrics on them isn't quite as front and center on PC specs as memory and CPU.
Hard drive capacity similarly impressive as RAM in terms of size (was apparently 10-30GB in 2000), but I don't have a 10TB hard disk as I don't need one that big (1TB is plenty for me), so again it's not as impactful to me as memory.
Over that time CPUs have also increased their instructions per clock by 3 to 4 times, so the comparison is a bit closer than that. 5Ghz in CPUs is also common these days which would make it even closer. RAM has also improved in more than just total size though.
This nerd sniped me a bit. Your calculation on the amount of CPU power is too low, because of the change in IPC, but for the things we have benchmarks for, it isn't multiple orders of magnitude off like I expected. Looking at Cinebench 2003, prime95, and a few other benches, I get somewhere between 300x and 850x faster for the modern CPU over the Pentium 3.
For me, the biggest change in performance in my life was going from spinning disks to SSDs. That change felt bigger than any other leap by a long shot.
This was the most impactful upgrade/breakthrough for me. The first time I put even a SATA SSD in my PC at home I was completely blown away. It still blows my mind somewhat the amount of compute I have sitting on my desk though, both in terms of memory and CPU/GPU power, but that move from spinning rust to solid state was huge.
Then Apple did to me again with the M1 launch and NVMe speeds that made swapping nearly imperceptible.
akshually, it's also more closer to 500-1,000x. You can't look at clock speed only. Processor architecture makes all the difference. Pipelining, SIMD, memory bandwidth, blablala, everything got way better. Better approximation would be to use something like a synthetic benchmark or just (theoretical) FLOPS of each.
Otherwise, we can say that 6502 at 15Ghz is better than what you have now: https://news.ycombinator.com/item?id=22859706
This is a shockingly ill thought-out comment tbh. I don't want to assumr you're an LLM, perhaps we can blame morning grogginess.
To say "anticlanker" sounds like you hate LLMs, or do you approve of them and you use that term disparagingly? I am not "anticlanker" I'm just a person who is aware that unscrupulous people very very frequently have LLMs generate comments and posts for them
"This is a shockingly ill thought-out comment tbh." <-- the casual bigotry;
"I don't want to assumr you're an LLM" <-- yes you do, dont be a dunce. this is the anticlanker sentiment.
"perhaps we can blame morning grogginess." <-- or it's an honestly held opinion expressed earnestly, and you did nothing to explain why you disagree, hence me calling your post casual bigotry
it’s a genre written by people who barely understand technology and consumed by even more luddite types.
it’s all uninformed fear mongering
What if you got a on-chip compression algorithm so advanced that you can fit a world in a few MB and now with corporations controlling memory distribution, 3MB of high compression memory is highly valuable in the black market.
And, yeah, the memory thing hasn't aged well. Thing is, 1984 was a funny time in computing, particularly when you consider the kind of computers normal people had access to.
At that point even things like PCs and the new Mac had 128 or 256K of RAM[0], so I get that 3MB must have seemed like an ocean of memory at the time. And, realistically, more than 1MB of RAM in machines you'd typically see sat at home or on a desktop was uncommon until the beginning of the 1990s.
And, although Moore's law had been around since 1965 it's hard to know how aware people outside of specialist circles would have been of it in 1984.
I suppose Gibson must have done some pretty in depth research for Neuromancer, right? But the memory thing is sort of ancillary to the story, so how much would he really have focussed on that? Probably not much.
And then do you really want to harshly judge the book on that one slightly laughable thing, in other ways, it was incredibly forward looking and almost prophetic? Doesn't seem right.
I think the sensible position is you have to let it slide and see it as a possible alternative future that never quite came to pass in that way but that which we can see strong echoes and foreshadowings of even still.
[0] In 1984 microcomputers, as opposed to, cough, "serious" computers like the PC and Mac, with 128K of RAM were still very new, with 32 - 64K being the entry level, and if you had one with 128K you were king of the hill. 128K in 1984 seemed like a ton of memory to most of us, but it's worth bearing in mind that only a handful of years before computers like the ZX81, which had only 1K of RAM, were the common entry level, so the progression was already clear if you looked at the situation in the right way, but you had to have been paying attention for a while to have noticed. I remember the first time I used a machine with 4MB of RAM in, maybe, 1990 - an Archimedes at school - and feeling like it was just this absolutely inexhaustible ocean of memory. In 1984 3MB would have felt almost inconceivably huge unless you were in the high performance computing, or maybe the mainframe, worlds.
Isn't he on record that his documentation was listening to techies talking shop in bars?
> And then do you really want to harshly judge the book on that one slightly laughable thing about memory when, in other ways, it was incredibly forward looking and almost prophetic.
He seems to understand humans. Gibson's world and Brunner's Stand on Zanzibar are imo the most "prophetic" sf books written so far.
Yeah, I think this is it. The humans were the point, not the minutiae of the tech.
(Btw, I hadn't noticed you'd responded whilst I was editing my comment to express myself a bit more clearly - I hope anyway - so the quotes don't quite match but I don't think it matters, because the sentiment is hopefully clear enough both ways!)
Yeah. I don’t think he was a technophile himself. Which might have helped him because he was not trying to be realistic. But at the same time there are things he understood deeply.
https://www.theregister.com/systems/2026/06/29/zuck-saves-me...
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.
Hi - thanks for the insightful comment - could you please expand on the above?
Genuinely curious :)
"Second, memory dominates the carbon footprint of the fleet [8], accounting for 69% of CO2 emissions and posing a significant sustainability challenge [4]. DRAM dominates datacenter embodied CO2 largely because it is ubiquitous and deployed in large quantities across essentially all servers. Based on our internal fleet data, and aligned with studies from other hyperscalers such as Microsoft [33], memory is one of the largest single embodied-emissions contributors"
[8] U. Gupta, M. Elgamal, G. Hills, G.-Y. Wei, H.-H. S. Lee, D. Brooks, and C.-J. Wu, “ACT: Designing Sustainable Computer Systems with an Architectural Carbon Modeling Tool,” in Proceedings of the 49th Annual International Symposium on Computer Architecture (ISCA’22), 2022.
[4] D. Azevedo, M. Patterson, J. Pouchet, and R. Tipley, “Carbon usage effectiveness (cue): A green grid data center sustainability metric,” White paper, vol. 32, 2010.
[33] J. Wang, D. S. Berger, F. Kazhamiaka, C. Irvene, C. Zhang, E. Choukse, K. Frost, R. Fonseca, B. Warrier, C. Bansal, J. Stern, R. Bianchini, and A. Sriraman, “Designing Cloud Servers for Lower Carbon,” in Proceedings of the 51st Annual International Symposium on Computer Architecture, ser. ISCA ’24, 2025, p. 452–470.
Not a reference, but I found https://www.interface-eu.org/publications/semiconductor-emis... which goes into great detail on the subject. I hadn't realized there were significant emissions of fluorinated gases directly from the fabs, which is mildly alarming. Although it looks like there has been a crackdown on this either politically or through ESG policies.
I have 32GB of DDR3 that would be great for scratch space or cache of i could throw it on a card.
Which seems to be the sister site of Register; https://www.blocksandfiles.com/architecture/2026/06/26/panmn...
I seem to remember the market for doing similar with flash got neutered over patent issues, but I can't recall the details. And flash cache did end up being a market, at least for bigger players. Maybe something similar happened here, or maybe it just hit a niche I cared about at the time?
[1] I know there were a handful of products in this space, but my impression is they never really took off. I could be wrong. [2] Definitely can in NetBSD; I've done it for archs like VMEbus where it's common to have a small, fast on board memory and much slower, often larger memory out on the bus. I assume this sort of thing is enabled in Linux by the work to support NUMA, but I've never looked into it.
I would counter tho that 1) this isn't the first time there's been a memory price/supply crunch, and "I've got a drawer full of last gen memory I can't use" is kinduva IT cliche, and 2) 'more memory' has always been a pain point, especially with industry practices like chipsets only supporting relatively small physical memory relative to address space (e.g. all those Intel LGA775 chipsets that capped at 4 or 8GB). Oh, and 2a) 'faster disk' has always been a pain point...
But, yeah...obviously my impression of things doesn't match market reality.
They seemed to stop making them altogether around when SSDs came out which probably shrunk the market niche right out of viability.
[1] https://www.amazon.com/High-Speed-Digital-Design-Handbook/dp...
Without cache coherency, you have to be more careful about how you use the memory and the performance story is complex. Ram over CXL is going to have worse perf than ram on the cpu memory controller, but there shouldn't be any big gotchas.
Reminds me of the days of JBOD arrays. Mac OS X had built-in support for it.
JBOR?
I'm not sure where 'pedantic', especially when coupled with 'contributes nothing to the discussion', wasn't worthy of a downvote (which I didn't give), but I'm sure there's a "well, ackshually..." rationale there someplace.
Edit: extra 'not' removed.
All this goes to my "world has gone insane over IP law" bucket. Similar to people disallowing their games being streamed or even shared in screenshots.
It says the source photo was uploaded as original content by a user in 2011 as a 400x300 JPEG created on an iPhone 3GS per EXIF data, with copyright released as public domain.
There’s nothing to suggest it was downscaled in the log or copyright encumbered, it just looks like it’s old/small. I often click into Wikipedia/Wikimedia Commons images where the original is available as a super high resolution option in addition to various smaller thumbnails.
It’s better for server farms where engineers can customize and tune for an architecture like this.
There have been some cards that use RAM as a storage device. They were never popular because having to set it up as a disk had very limited use cases.
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)
Single channel RAM surely beats any disk-based swap.
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.
"Our CXL solution achieves substantial gains for diverse workloads, including up to a 25% reduction in server count for disaggregated ML inference"
How does using worse RAM result in 25% reduction of server count for given workloads?