TSMC 2nm Process Disclosure – How Does It Measure Up?
105 comments
·February 11, 2025Red_Comet_88
ksec
N3 is mature and is already in full production for small Mobile SoC only.
The Blackwell goes up to ~750mm2 it is a completely different beast. And Nvidia is already having trouble trying to fill up their Blackwell on a higher capacity, relatively mature N4 Node. Imagine doing it on an expensive N3, and then charge $4999 only to get outrage as rip off on HN and reddit.
Generally speaking the larger die size, high performance chip tends to be a node behind simply because all the leading edge node and tools aren't even designed for them but are specifically aiming at Mobile SoC. Then you add in cost issue and yield.
wtallis
Surely you don't believe that large chips like Apple's M3 Max and M4 Max shipped while yields were still immature. So do you think that the wafers per month that TSMC is now cranking out over a year after N3B chips started landing in consumers hands still don't qualify as "full production"? How many fabs need to be fully devoted to 3nm before it is enough volume for you to consider it "full production"?
bigtimesink
The number of M3 and M4 SKUs suggests they have yield problems and are disabling bad memory and cores.
nsteel
This. The IP they need, specifically the SerDes, isn't available for 3nm (n3e) yet. That stuff isn't required for consumer devices, it comes later.
JackYoustra
I'm not familiar with the process enough to even know what to search here, do you have some recommended reading materials about how IP becomes available for different processes and what the engineering difficulties / process is, especially for different types of IP?
adrian_b
N3B is used by Intel for its Lunar Lake, Arrow Lake S and Arrow Lake H CPUs and GPUs, so it is also in full production for high-power non-small and non-mobile chips.
Of course, even if N3B is fine for desktop CPUs and for smaller GPUs, it may still have too low yields for chips of the size of the top models of NVIDIA GPUs.
nsteel
Anything serious is using n3e.
lexarflash8g
I think yields is the main reason, although I'm not an expert in that area. If its a standard deviation difference than it will increase their manufacturing costs. Nvidia got around this from Ada--> Blackwell by simply increasing TDP for their high-end cards and adding more cores. Their is no IPC/efficiency/node improvement, if I'm not mistaken, for the first time gen-to-gen.
Strom
The answer is probably profit margin. It's also not unusual at all for Nvidia to leave performance on the table in terms of production nodes. I mean just look at the RTX 3000 series which was made with Samsung 8LPH, categorized as a "10nm node". Even at the time, for a late 2020 launch, TSMC already had several generations which were better, in both the "7nm" an "5nm" categories.
notnullorvoid
US push for local manufacturing might play into that a bit since TSMC's Arizona fab only just started producing 4nm. Nvidia is planning to provide GPUs for major US datacenter expansion, so using locally produced chips should help significantly (especially if the chip tariffs end up becoming a reality).
newfocogi
My guess is it's related to yield and/or large die sizes making them more susceptible to defects. I expect architectural changes in the Blackwell series matter more than performance improvements from process node.
tiffanyh
Doesn't Apple pay for exclusive access to N, and N+1 nodes ... shutting everyone else out from using newer node sizes.
ramshanker
How much would the Non-Recurrent Cost associated with designing a RISC-V CPU using this 2nm? EDA Tools, Photo-Masks, One Time Chip Design Engineer Cost, Simulation/Virtual Verification and so on. I mean every thing till tape-out.
adgjlsfhk1
Riscv doesn't need smaller nm. It just needs someone to actually design and release a good core design. 14nm (or 4 or anything in between) is perfectly suffient to make a Riscv chip 10x faster than any Riscv that currently exist.
zozbot234
14nm or so is kind of a sweet spot for general purpose chip design right now, because later nodes turn out to have higher overall per-transistor cost despite the improvement in density and area. Of course this may well change over time as even finer production nodes get developed and the existing nodes then move closer to the trailing edge.
distances
The article linked in another comment pointed out that cost per transistor keeps falling, and it's just the fast increasing fixed costs that make it seem otherwise.
https://semianalysis.com/2022/07/24/the-dark-side-of-the-sem...
wuschel
Interesting! Could you perhaps point me towards the source where I could read up on the state of the art of chip manufacturing and the implications coming from the respective manufacture processes?
mlyle
Of course, on the opposite side: if you have higher Fmax and lower power, you need fewer transistors to get the same characteristics for end users.
Dylan16807
x86 and Arm don't "need" smaller nm either, but there is always a market in speeding up general purpose CPUs.
10x is cool but when that's still catching up it's not done.
mort96
There are already companies making huge, expensive, high-performance chips for x86 and ARM; chips which are operating at the limit of what's physically possible. There aren't chips which do that for RISC-V to my knowledge.
wuschel
What do you tbink is holding RiscV core design back? Is it the IP situation?
fngjdflmdflg
Not a hardware person but I read in an interview with Jim Keller that ISA itself doesn't matter that much for performance.
>[Arguing about instruction sets] is a very sad story. It's not even a couple of dozen [op-codes] - 80% of core execution is only six instructions - you know, load, store, add, subtract, compare and branch. With those you have pretty much covered it. If you're writing in Perl or something, maybe call and return are more important than compare and branch. But instruction sets only matter a little bit - you can lose 10%, or 20%, [of performance] because you're missing instructions.[0]
I've cited this article a few times already (and seen others cite it) so if this is incorrect I hope someone could correct me here. (I have to assume that you also need some sort of SIMD/Vector these days, which RVA23 has anyway, but aside from that.)
I've also read that you can port CPU cores to a different ISAs pretty easily which is what PA Semi did when Apple bought them (M1 devs). So what seems to be missing is for a bunch of senior CPU developers who worked at AMD, Intel, PA Semi/Apple or ARM to just make one for RISC-V. Not sure if that is what you meant by IP here. Tenstorrent could be one such group, and they are building RISC-V CPUs, but their focus seems to be split between that and AI accelerators. China is another good candidate.
[0] https://www.anandtech.com/show/16762/an-anandtech-interview-...
AnthonyMouse
One of the things that could really help here is to create a license along the lines of "GPL for hardware" and then for a company like Google or Meta to release a design under it. The design wouldn't even have to be state of the art; something with performance equivalent to a ten year old x64 design would be valuable enough that people would use it for things if it was free.
But the larger value is that then people could use it as a starting point for modifications, which would in turn have to be released under the same license. Soon you have a diverse set of designs to choose from and we can start getting open hardware into common use because using any of those designs would be a cost savings over buying or designing something equivalent, but because the license requires an open design the user can then create custom firmware etc. and we might finally start to do something about the IoT security nightmare.
topspin
The RISC-V core designs that have emerged so far don't have nearly the amount of silicon dedicated to optimizing IPC as one sees in ARM, x86 and others: predictors, sophisticated caches, complex instruction dispatch, deep pipelines, etc. That stuff isn't provided with the RISC-V core designs you get for free or license at low cost, because it's fabulously expensive to develop, tied to the ISA and core designs for which it is created, and jealously guarded through IP law.
Will RISC-V get there eventually? People like Jim Keller are building companies around that goal. However, it will likely take years, at least, for RISC-V to approach parity.
adgjlsfhk1
Building a chip is really hard, and the companies that have experience all have their own architecture that they like and no reason to make a high performance design that competes with their regular chips.
selectodude
3nm was over a half billion. So if costs are going up at the same rate, over a billion dollars.
https://semianalysis.com/2022/07/24/the-dark-side-of-the-sem...
ajross
> This paper continued TSMC’s trend over the last several years of presenting marketing papers at IEDM instead of technical papers. [...] there are no pitches in the paper, no SRAM cell size, and that graphs are all relative
Sigh. So basically we assume this is all aspirational spin and that either they haven't finalized the parameters for the process yet or they know the numbers will be disappointing already.
The era of VLSI scaling is over for sure. Hilarious that Intel's complete failure at process development happened at exactly the moment where it could do the least damage.
zozbot234
That's not what they're saying - they say it's been a trend over the past several years. VLSI scaling is still continuing, and the article mentions that TSMC seems to have the best numbers, though at higher per-die cost than the authors expected or found reasonable.
ajross
Right, that's the spin. You have to put a "seems to" on "have the best numbers" because there are no numbers. If there numbers were the "best", then they would give them. They did not. So... they probably aren't. Or there are other complexities they don't want to reveal.
zozbot234
> If there numbers were the "best", then they would give them. They did not. So... they probably aren't.
I'm not sure that we can say that. They may be keeping their cards close to their chest for any number of reasons. Unless they think they also had "bad" numbers in the past several years when they were doing the same thing.
WhitneyLand
No, that’s not how it works.
TSMC publishes industrial research, not pure science research like a university.
In this context the amount of detail they release is careful balance of PR benefit vs. competitive advantage vs. patent status vs. keeping their talent happy because good researches want their names in prestigious journals.
thiago_fm
Is there an advantage on going 2nm given the costs? Maybe somebody can clearly answer this here on HN, I love this subject!
It's interesting how the whole valuation of TSMC(and some from NVidia) are aligned by their current advantage on the 3nm process.
Intel on 18A is literally TSMC's 3nm process + backside power delivery, which means more power efficiency, performance also less heat.
It's definitely what they need to get them back into the processor game and beat everybody, maybe we will see Apple doing designs with the Intel factory before 2030?
Hope they don't fail their deadlines: summer this year to be producing 18A, and 2026 mass production.
thunderbird120
>Intel on 18A is literally TSMC's 3nm process + backside power delivery, which means more power efficiency, performance also less heat.
That's a pretty serious abuse of the word "literally" given that they have nothing in common except vague density figures which don't mean that much at this point.
Here's a line literally from the article
>Based on this analysis it is our belief that Intel 18A has the highest performance for a 2nm class process with TSMC in second place and Samsung in third place.
Given what we currently know about 18A, Intel's process appears to be less dense but with a higher emphasis on performance, which is in line with recent Intel history. Just looking at the density of a process won't tell you everything about it. If density were everything then Intel's 14nm++++ chips wouldn't have managed to remain competitive in raw performance for so many years against significantly denser processes. Chip makers have a bunch of parameters they have to balance when designing new nodes. This has only gotten more important as node shrinks have become more difficult. TSMC has always leaned more towards power efficiency, largely because their rise to dominance was driven by mobile focused chips. Intel's processes have always prioritized performance more as more of their products are plugged into the wall. Ideally, you want both but R&D resources are not unlimited.
zozbot234
The death of Dennard scaling means that power efficiency is king, because a more power efficient chip is also a chip that can keep more of its area powered up over time for any given amount of cooling - which is ultimately what matters for performance. This effect becomes even more relevant as node sizes decrease and density increases.
thunderbird120
If it were that simple fabs wouldn't offer a standard cell libraries in both high performance and high density varieties. TSMC continues to provide both for their 2nm process. A tradeoff between power efficiency and raw performance continues to exist.
dannyw
For datacenters and especially hyperscalers, the power and cooling bill is a huge part of the TCO.
You make somewhat more power efficient chips, you get to sell it for a lot more.
Your chips are inefficient, and you won’t be able to sell to a hyperscaler even for $0.
The latter is the position Intel is quickly arriving at for DC; Epycs are much more efficient and Intel’s wildly slashing prices.
—
For Apple, A-series dies are pretty small, they basically prefund a large part of TSMC and almost certainly gets the lowest prices of any customer.
That said, Apple’s strict fascination with always jumping to the latest node, even when it seems premature, puzzles me from the outside.
Aperocky
> That said, Apple’s strict fascination with always jumping to the latest node, even when it seems premature, puzzles me from the outside.
As a user of M1, M2 and M4, that's why I've chose Apple.
I would have gladly jumped to any laptop that supports Linux with similar power and battery life and weight/build, unfortunately that computer does not exist.
Is it time to call on garmin to make a computer? They've beat apple on the watch. I have faith in them.
thijson
You need high chip volumes to justify the NRE cost of going to 2nm, or you're selling your chips with very high margins (ie. Nvidia).
Just saw this podcast: https://www.youtube.com/watch?v=hvQvrLjlJN8
CEO of ASML, he sees a path for the next 5-15 years for a 2 year cadence of transistor scale doubling. That's a bit slower than 18 months, which it was earlier.
loandbehold
Why are American fabs built in Arizona? What's so special about AZ?
josaka
I suspect it's, in part, because humidity is low. The fab needs to tightly control humidity and temperature. Pulling water from air is energy intensive. Facilities team in the fab I used to work in said their most energy intensive days where the most humid days.
bigtimesink
Humidity in Taiwan can be very high.
mort96
And I'm betting that combatting that humidity is a significant cost for TSMC.
sct202
Motorola put a bunch of their early semiconductor facilities there in the 1950s so there has been a long history of the industry there along with relevant suppliers and trained work force. Microchip Technology, Amkor, Intel, First Solar continued the trend in the 70s/80s so there's a lot of related industry built up over the decades.
muricula
Tax breaks and politics. https://www.nytimes.com/2023/02/22/technology/arizona-chips-...
UberFly
Main reasons are a stable geology and climate, access to reliable water via the salt river project that was designated for industrial use, and the historical semiconductor presence that is already in the area. The local universities also have a strong focus on tech.
manquer
Taiwan is a humid island on the ring of fire , is any of the environmental factors actually all that important?
SpecialistK
You can't choose where you're from, but you can choose where you go afterwards.
m00dy
for those who are in the industry, it's just a marketing term.
curiousObject
It’s marketing, but everyone is doing it. So you have got to live with it.
It’s exaggerated, but it still represents some degree of progress.
wongarsu
A marketing term that will have to change. For the last couple decades every new, denser process generation just took the previous number and divided it by sqrt(2). That doesn't really work beyond 2nm.
Intel invented a new number they can count down. Do we already know what naming scheme TSMC will adopt for the next generations?
null
sylware
So, Intel has its better "18A" process and we have no idea when they will start production at scale and where?
Weird.
high_na_euv
What do you mean?
Intel says that 18A will be a thing around mid of 2025, so 4-6 months from now, I think.
Then it will upgrade to HVM between Q3 and Q1 iirc
DebtDeflation
In late 2013 Intel said 10nm was coming in 2015.
adrian_b
The first Intel product on 18A is the "Panther Lake" CPU for laptops.
According to what Intel claims, it will be launched in H2 2025, i.e. with commercial availability either in October or in December, depending on how quickly Intel will succeed to improve the yields of the 18A process.
Mistletoe
The whole thing is incredibly frustrating to read because no one is providing any sort of data or graphs that are beyond something you would see in a commercial.
> In terms of the overreaching Power, Performance, and Area (PPA), the paper states that the process delivers a 30% power improvement or 15% performance gain and >1.15x density versus the previous 3nm node.
Since I know the nm numbers are meaningless anymore, it’s kind of an insult to the math of 3 to 2 to call these sorts of minor improvements that.
MathMonkeyMan
I think that this graph sums it up pretty precisely:
<https://semiwiki.com/wp-content/uploads/2025/02/Figure-1.jpg>
You see, the bars go up and to the right as indicated by the arrow. The thing at the top right, which is under discussion, is more than fifteen times better than the thing on the bottom left.
This is a huge achievement.
taspeotis
I know you’re joking but that graph is spurious:
> We took the graph image, pulled it into Excel and created an Excel graph overlaying it with the 28nm bar normalized to 1 and then entering values for the other bars until they matched the graph. If we then build a set of bars starting at 28nm = 1 scaled up based on the TSMC announced node to node power improvements we get a total improvement of less than 9x. Nodes from N28 to N10 match well but from N7 on the bars on the graph show more improvement per node than TSMC has announced. Just the N3 to N2 bars on the graph show a 55% improvements versus the announced 30% improvement.
> …
> It isn’t clear what may be driving this difference, but it is a big disconnect. This may be why the graph was removed from the final paper.
null
hcfman
Super interesting. Now what we really need is for Raspberry Pi to make a 2nm version so that the power usage becomes more acceptable for Wildlife and biodiversity use cases.
Please, please Raspberry Pi, also make a 2nm version
Actually, I think it's broadcom I need to ask that from isn't it ?
(Although then I think it would almost become a Jetson)
Please please NVidia make a 1nm Jetson, the planet needs you to.
magicalhippo
The current Pi 5 is on a 16nm node[1], down from 28nm for the Pi 4.
So, far off needing a bleeding edge node[2] to see further improvements.
[1]: https://chipwise.tech/our-portfolio/raspberry-pi-5/
[2]: https://www.tsmc.com/english/dedicatedFoundry/technology/log...
Pet_Ant
For reference GlobalFoundries (who AMD left because they weren't willing to adopt EUV which is needed for cutting edge geometries) goes up to 12nm, so that means there is still room for Pis to improve before hitting the expensive stuff.
hcfman
The Pi is great! Just saying, running a Pi with an object detector on batteries draws around 9W. That's big batteries and solar or wildlife use cases. But think how cool it would be if it could run on 2W.
Having said that. The Jetson runs at around 7W doing that and a lot faster inference. Just a lot more expense. Likely the Jetson will eventually be something like 2nm. So maybe we see around 4W at that time running an object detector. And of course the Jetson has the memory and processor together on it's modules so everything can benefit. Just dropping the power on the Pi for the processor leaves that out.
But thanks for the links
magicalhippo
Jetson Nano was manufactured using the 20nm node as far as I can see[1].
Just goes to show manufacturing node isn't everything. There's a lot of various optimizations one can do depending on targets.
Guess we'll just have to see what the future brings.
null
rcxdude
The node is not nearly as relevant as the design of the SoC to optimize for low power, and the large amount of supporting software work to actually make it real. Phone SoCs are generally optimized for this, but the lifetime of a part in the market is too short for something like the raspberry pi.
Does anyone know why Nvidia chose to re-use the 4N process for their Blackwell series? From everything I've read, 3N is mature and is already in full production, yet Nvidia chose to just reuse 4N. It seems very much unlike Nvidia to leave performance on the table.