If AMD is competitive performance per watt and roughly reliable in terms of software support which is what most folks outside of US prioritize above all else, since outside of China and US electricity tends to at a relative premium.
Maybe if they make smaller data centers viable at the right price, AMD could be part of the stack outside of US where ever Nvidia is more limited in supply. Though I have genuinely no idea what sourcing an AMD GPU looks like.
I have never seen a company use AMD outside of wafer and a couple others mostly in US.
Genuinely intriguing or maybe not really (could be this stuff is common knowledge) and I am just stuck in my Nvidia bubble here.
If you plan to run it straight for 8 years 100% max usage thats around 1 GWhr.
A gigawatt hour is a lot of energy but its not that much compared to the price of the actual machine. In Germany for example with its expensive energy thats about €100k worth, which spread over 8 years is pretty minor compared to the up front half mill.
The real issue with high power consumption is not really the cost of energy but the limited powersupply you can get for a datacenter. A more efficient setup is highly desirable because it means you can fit more in the limited power hookup.
If it's efficient and the power costs of not just ongoing costs but the upfront setup is lower that makes a lot different scales of data centers practical, especially for inference which doesn't need massive super clusters.
You can't just fire up gas turbines everywhere like US Data centers are doing. I am not even sure if that's legal in US...
Note you have to plan for peak usage and a lot of stuff large scale data centers are insane infrastructure projects.
Nvidia is both supply and price constrainted, sure if you are willing to pay over 0.5M$ you might get some, but if you try to balance out price to costs by going slightly lower on the pole you realize just how much more expensive Nvidia truly feels like AMD has a lot of margin to under cut them if they want to.
Since many people haven't seen 10MW cabling for a data center or how a big GPU server is cabled, they naturally imagine connecting servers is akin to plugging an appliance to a wall.
When the electricity provider says "I neither have the capacity, nor the required cables in that area", thing gets real.
The article is highly qualified but the headline is not. If they are not making general statements then they shouldn't open with them.
See PUE (Power Usage Effectiveness) for its scientific form.
love to debate actual discission points. pull up "datacenter dfw" on google maps for mine.
https://youtu.be/_bP80DEAbuo?is=sg09k66iutKFIFSo
Yet here we are, discussing "data center" as if they're standardized and of similar (nose) isolation.
There are no meaningful regulations in building them, and they can be incredibly polluting. So your experience with a potentially well isolated one is sadly not the norm going forward. And we don't even know how close you lived, if you're eg talking about "within 5km/3miles" then your experience would also have little value in this discussion in general.
Can you cite a source for this? It's not in the video, as far as I can tell.
I would be wary of Benn Jordan's videos. They are full of mistakes and misrepresentations, as Andy Masley has convincingly demonstrated: https://blog.andymasley.com/p/contra-benn-jordan-data-center...
I recall seeing Benn Jordan's responses on Bluesky and thinking they were quite poor. He was unwilling to admit to mistakes, and kept trying to grasp at newly searched papers that didn't actually support his arguments.
Indeed, he shot himself in the foot there pretty bad, but I would argue that that was just the result of successful Agitation.
I would personally strongly prefer being in the same room with Benn compared with Andy, because one of them is authentic, while the other is calculating. Though, arguably, Benn has been catching up on that lately too.
But yeah, taking stuff with a grain of salt should be the default regardless of the person speaking.
10 years ago, I was running 4 CPU servers with 48 cores and 128GB of RAM in 2U enclosures with a maximum power consumption of 500W or so. I was able to stick ~20 of them in a 42U rack, totaling 10kW.
A data center full of these can be cooled with CRACs and hot/cold aisles without much problem. This is still too much for a bog-standard server colocation operation, but for HPC, that was normal and manageable.
Now, a ~1U server houses 4 SOTA NVIDIA GPUs, 64 cores, magnitudes more RAM. This server alone uses ~3KW of power. This means you go anywhere between 30kW to 50kW per rack, and you have many racks.
Of course this means more power comes in, more heat comes out. This means more sophisticated infrastructure: bigger and beefier primary and secondary power systems, beefier cooling, more heat, more noise, in short "more of everything".
Of course when you cram this much energy and heat into a relatively small space, its effect on the environment will be much more pronounced.
Facebook's previous SOTA datacenter used water infused, HEPA filtered free flowing air accross the datacenter. Now, it's server level direct liquid cooling with extensive water treatment and oversight on coolant parameters.
Compare this having a hand warmer vs. coal ember in your hand. The latter needs a much more elaborate setup to prevent it burning you badly.
You can stuff GPU servers into existing buildings- but even with significant upgrades you end up with a lot of empty space on the floor that can't be used.
1. Article is about AI, so I have given the example for an AI datacenter.
2. In pure CPU datacenters, the power dynamics do not change much. I can add more servers to a single rack, but the rack power is again in the 30kW to 50kW range, so you're planning and building for the same power capacity.
> You can stuff GPU servers into existing buildings-
Yes.
> but even with significant upgrades you end up with a lot of empty space on the floor that can't be used.
Yes & No. It's not impossible to convert an old datacenter to support ~35KW/rack capacity, but it's not cheap, and you'll have more worries than holes, piping, building and power. Namely, can your floor handle that much weight to begin with?
If we had regulations on noise, vibration, emissions, water use, electromagnetic radiation, whatever else, then it wouldn’t matter what people tried to build — if it fits within the guidelines great, otherwise back to the drawing board.
Putting “data center” in your ordinances is as lazy and ineffective as putting “abattoir.”
We certainly do! It’s just often overridden and ignored for these companies and data centers
Sane jurisdictions do have regulations regarding these things. Not all jurisdictions are sane, some of them are run by people who sell out their residents.
Suburbs and cities around me all have noise regulations, my state has its own pollution regulations, and the local water utilities don’t hook up customers that stress the system. Unfortunately there are places like Texas, Tennessee, Louisiana, Mississippi that don’t give two shits about their citizens and let companies run temporary natural gas turbines permanently and all kinds of other nonsense.
This does sound plausible, but it's also pretty sad and not a sign of a healthy democracy
If a municipality doesn’t have emissions, noise, water use, etc regulations, that’s a serious failure in governance.
We don’t need nor want the word “data center” in regulations anymore than we need the word “abattoir.”
The names of the things we build change all the time. Their impact on their communities don’t.
We need to regulate impact, not the name or type of business.
If we did, nobody would know or care about data centers and they wouldn’t be affecting their communities, because they’d be operating under established impact regulations.
Would love more calculations on that
There's a few using them, and even more starting to experiment with them. AMD has long been a source of disappointment around this side of things, so I'm hesitant to feel optimistic we'll finally get some competition. The market really needs viable competition to Nvidia, especially performance/watt.
Meta is using AMD: https://www.amd.com/en/newsroom/press-releases/2026-2-24-amd...
And OpenAI: https://www.amd.com/en/newsroom/press-releases/2025-10-6-amd...
But it's meta they can get a GW up of AMD in a year
Worth remembering AMD basically "owns" (not literally) the hardware-side of things in video games consoles for good many years now, with no end in sight.
I have a huge EPYC based data center like 200-300+km from my house on the outskirts of the city a few dozen miles from a IT industry tech park(place with lots of IT company offices).
They instead start the build out and plug in stuff they can, then take a loan or ask Nvidia to help fund it. (I am not joking)
I believe the case is if you can prove to Nvidia you can install and provide more Nvidia capacity they help out because more Capacity going online today is in the best interest of Nvidia.
Spot prices of Nvidia GPUs going up is not good news for Nvidia btw. The people renting Nvidia has the least amount of friction in moving off Nvidia, especially with AI tools you could build and get up to speed with AMD stack much sooner...
So if Nvidia is truly not an option and you entire company is not a bet on Nvidia then you will move off but only as a renter not as a buyer unless they truly can't fund Nvidia I suppose.
But again I repeat if you build a datacenter and provide good enough base Nvidia will help fund you to a mostly complete data center.
People might not like it but that's the reason Nvidia is so unreasonably dominant even now when otherwise given the scale of investments it might have been cheaper to look for alternatives.
This is why Nvidia doesn't like the China stack.
Just because you haven't seen it doesn't mean it doesn't exist.
We've serviced over 700 customers on our MI300x.
I haven't tested enough models Nvidia has converted to NVFP4 besides GLM 5.2 but it seemed fine to me.
My own luck has been hit or miss with it.
[1] https://www.ycombinator.com/launches/Q9i-wafer-pass-flat-rat...
1900 - 2010 https://www.thekurzweillibrary.com/exponential-growth-of-com...
1939 - 2023 https://medium.com/@timventura/kurzweils-law-for-the-ai-age-...
If I'm missing something, please let me know!
(Previously this comment said Rubin did native NVFP4, but Blackwell does too! Rubin just also trains with native NVFP4, which Blackwell does not.)
Nvidia says Rubin should have fewer stability problems training with FP4 because of hardware changes - "adaptive compression". There will still be outlier instability inherently, but something they're designing in reduces the cost of managing it.
But yeah, grain of salt - we haven't seen this in practice.
Of course there are techniques such as quantization aware training but I don't understand why a datatype would work for inference but not for that.
You can also abandon backprop entirely but that comes with a whole host of tradeoffs and again why would it work for inference but not for whatever alternative training regime you selected?
* What does it mean for "performance per dollar" to get faster? Higher, maybe; rise faster than it has in the past, maybe, but just "faster"? Nope.
* The article cites some equipment as being "2x cheaper". I think they mean "half the cost", but if so they should say it.
I guess you really do have to try it at least for some time to actually know
It's genuinely neat that AI can find the right optimization pathways in an AMD inference server to unlock this but at the same token (pun-intended) this is a classic case of benchmark hacking that doesn't stand up to real-world application.
So much compute is under utilized waiting for a savant or company to prioritize an architecture, and now all the other engineers can tackle this at any time if they get inspired on the right prompts
So I could see something like this where the neural chipset has an LLM that cant be so easily updated baked into it, until you get a new device
I also think the dynamic would be really different if model inference can run at ridiculous speeds. You could make a genetic algorithm loop around it, so it can generate a population of proposals at each step, then have those tested and whittled down iteratively. If inference happens at thousands of tokens per second, then from user perspective it would still be really fast, and even a small model could solve complex problems.
even having something like opus 4.8 locally would completely change the landscape
The AI companies owe use money. As does e. g. NVIDIA for becoming a cartel.