RTX 4090 Chip deep-dive 

Were you surprised by the true size of the chip inside the RTX 4090? And how much bigger did you guess it was compared to the 3090 Ti?

very few channels go this deep inside the chip technology, thanks for the videos.

I keep rooting for your channel to get some exposure. I know it won't mean shit, but the bunch of us out here watching appreciate every frame of your videos. Keep it up man, this is one of the very few "hardcore arch" channels that tickle me just the right way.

FYI - I always make it to the end, you have good analysis, and perspective. Yes, I was surprised at the silicon size, from other tubers I expected it to be larger. That is a staggering amount of transistors too! Now Im so curious what AMD will release, and how it will be priced.

The usual excellent job on content, presentation, editing and sound. Keep them coming!

The RTX 4090 was tuned down a lot from what was planned, making it pretty efficient. I was curious about how much of the chip was disabled, given that it's huge size on a cutting edge process. Thanks for the info.

Always so interesting video - Great pace and nice calm voice too!

here, thanks for making these in-detail videos. I really like every video of yours so far for going into real depth. Keep up this Awesomeness!

Great video, very informative. I wonder if the 88% binning for the 4090 might mean yields are good but great on 4N. I do find it strange that they didnt consider enabling more transistors but clock the chip lower. Would have had similar performance but much less power.

Found your channel recently, loving the detail and clarity of your analysis! Keep it up 👍

Great deep dive, thanks!! Not that it is unexpected from you. FYI I did watch all the way through yesterday, I just couldn't comment on my TV and didn't have my phone handy, so I came back to make sure after DLing the new video for Mt drive to get the little one. I'm sure it's great. Thanks again!

I really love this type of context. As a render programmer, I find this stuff really fascinating.

I know I'm not the only one who glanced at the the thumbnail, and read AD102 as "ADIOS"... For a second I thought Nvidia was calling it quits.

Love the in depth explanations! keep em coming

Don't usually comment, but as a undergrad student in comp engineering, your channel has taught me so many things our course has left out on. And other tech channels haven't tried as good as you have. thank you very much 🥰. Hope I get to learn a lot more

What an incredibly interesting deep dive. I am looking forward to future video's!

Good work...love the deep dive

these videos are always so well produced!

Best explanation yet! Well done!

Thanks for doing what you do!! Good content are often less hyped but it takes the same or even more effort!!!

Thanks for these analysis vids.

Excellent video!

Rewatched again great overview

Fantastic breakdown, thank you!

quality video, excellent! thx you for all these informations

Ihis is first of your videos that i watched, seems Cool!

I promise I did not look this up now, but I have seen the counts before, but have maybe misremembered them My guess for how many more transistors AD102 has: GA102: 2.7x TU102: 4x GP102: 6.5x

My guess was twice as big. I guess that’s not as bad if you consider how much ends up being dark silicon on the 4090!

Was the media engine changed...ie avx1 decoding hardware added? Enjoyed the watch!

New to this channel. Really like the fine details of getting into the "nitty gritty" behind the generation on generation

Watched till the end to get the full scope of your review.

Awesome analysis! Great video!

Good work! New sub🍻🏆

That wa great video, thank you 👌

Yes, a comment on watching all the way. The binning examples were fascinating. Now to go search for your other deep dives.

Great analysis!

Thank you so much for making this video, it's refreshing to see specialised insight with the perfect balance of existing knowlege assumptions and detailed explanations.

Good video!

Love this high end stuff! Really, though, I'm most interested to see if this trickles down to lower priced cards this generation.

This video is amazing, I'm watching all the way through.

Subbed ! Great channel/

thanks for the video , very intresting

I’m a simple man- I see a High Yield post? I click

I’m enjoying the content you’re putting out, keep up the great work!

Another solid deep dive into a part that lots of gamers talk about without really caring to look into it. Thank you for dissecting that beast, its even more impressive after all the info from your presentation. Also congrats for the excellent production value of your content. Like in football (USA), you got to go ALL THE WAY! Hats off to Green Team.

Such a great video!

There's a lot of tech channels but you stand out as one of the better in-depth knowledgeable channels. You're not just vomiting unconfirmed news or repeating the same thing everyone else does. I'll watch your channel until you stop bro, and I hope you don't stop.

Nice one thanks. Was wondering if you could you make a vid comparing AMD and Nvidia Architectures and more specifically CUDA vs CU. I think with RDNA3 such a comparison would be very interesting.

Good video, but I have some points: 1. From die shots available, RT & Tensor units use very little die space (

The 4090 has the most over engineered cooler we will probably every see. Well, wait.. the 4080 16gb will use the same one!!! Damn, crazy. I’m capped at 120fps at 4k in destiny 2 at max settings and I don’t see more than 50°c peak heat and 58c hotspot. Peaks at 60% power draw (hwinfo). It’s insane efficient

Impressive analysis.

Great content. My kind of spoon-fed knowledge dump. Keep feeding me these awesome videos.

Can they make 700 mm + area with 4nm node? If yes this would be more transistors?

I really love your videos. They are so precise and informative. 👍 I already knew the transistor count and the die-size (I'm such a nerd ... 😂). I think Nvidia might have binned the RTX 4090 that way to obtain a higher yield rate (remember, the N4 process is still relatively new and TSMC will probably have a higher percentage of faulty transistors than the "old" and well-known 8 nm Samsung process). It doesn't really make sense, to push a die with 100 % active transistors, when the process is not yet ready to deliver such a high yield rate. Nvidia will buy some time with the RTX 4090/4080 for TSMC to streamline the new process and they will deliver a fully activated AD102 when the yields justify such a step. It doesn't have to be this way, just some thoughts on it. 👌

Finally, someone going into DETAIL about leading edge tech, I always learn something fun every video

I made it that far :) interesting video, thank you

I would love more videos like this 💝 detailed yet simple words ✨ wish u all the success 💖🏆

watched to the end 😀

How does it relate to their deep learning accelerator? Do they use the same chip with other features activated or a completely different chip?

I feel Nvidia's decision to max out the 4090 is based upon their believe OC users are a big part of their top of the line customers.

Well that was informative

So what is the commercial product for the top AD102 bin?

And the reason for all this seems to be the monster RDNA3, we'll see.

This video is *fantastic* . You have no idea how great it is to just "appreciate" how much work goes into these GPU designs rather then having people mope and bitch about prices and bad marketing on NVIDIA's part. I plan to buy a RTX 4090 FE in the coming months to start making YT content and I have *no* doubt that I will not have to change my GPU for some years to come!

Driver improvements could probably make use of that extra TDP

I watched the whine video ☺️ I love deep-dives into hardware 🥰

I am both excited & excited !!!!!!!!!!!!!!!!!!!!!!!!

Is there a die that isn't binned and is fully used? what power would it draw and what would it be like?

Every product I see using TSMC's 4nm node performs with an extreme uplift in performance and efficiency. Just shows how strong tsmc's fab processes are.

I wonder if they could bring back the multiple gpus on one card approach like their older 90 series cards used

Very interesting. Can't wait to see your take on Radeon's 7000 offering

Leaving the comment as asked lol. I've been binging your videos because I guess i love my job animated .

Still watching - fascinating stuff, especially back to back with the AMD presentation

Rare quality analysis!

I'm curious to see how far the 5000 series cards will go. Will the rtx5090 run Cyberpunk 2077 at a full 4k (no DLSS) at 120fps+?

that's incredible

The power draw limiting from my experience isnt quite as good as some make out. I ran some benchmarks at 90%PL and noticed some small wobbles in clock speed, the end result of the bench had the same ave fps and just 1 less max. But it should be noted that at 100% PL, the card wasnt pulling near 100%, so limiting it to 90% wasn’t really a 10% drop in power draw. I then tested again at 80%PL, the clocks were very noticeably wobbling. I cant remember now what the fps drop was - it was small, but there was a drop. Which is fine, you are now actually cutting power (in this instance) by the full 10% below the 90% marker. Probably does increase its efficiency, but I dislike such wobbling.

I've been very curious to understand better this Binning business, would the same chip go into a 4080 as 4090 but the difference being how many "bad" transistors were found? Love the vids, tech geek nerds all the way!!!!

I am surprised that people start the video and then do not finish it. Unless interrupted of course. This is great stuff!

I don't have to move the power slider. It is anyway using less power in the games I play.

7:41 The use of "exponential" as stated is plainly incorrect. Doubling the base number of transistors on the chip results in double the scaled number of transistors, likewise, quadrupling the base quadruples the scaled number of transistors. The factor on the base and scaled transistor count is the same, which describes a *linear* mapping.

Watched to the end. Idk much about those super high end setups some people use, but spending transistors on new and evolving technologies rather than just scaling up seems a much better use of resources. I'd really expect diminishing returns on scaling up these beasts even more an irritating Moore's law

I agree, that NVidia could and should have released a much more attractive product by using a lot less power and being a LOT smaller. It would have been an instant buy for me.

Strictly looking at density, N4 is 2.4-3x denser than 8LPP. So, I’d go with 2.7x.

Are you saying that nvidia makes only 4090 chips and depending on the defect inside the chip its sold as other type 4080, 4070? Great Channel

Turing Top die has around 3000+ cuda cores, Not sure about 1080ti but i know it is similar to 2070super at ,2560cuda cores

Made it to 13:42… gonna watch it all

2.5 times more transistors or roughly

I have a 4090 FE. I for one am glad that they gave us 450w and up to 600w with the proper PSU connections. The 4090 is an ultra enthusiast class card. Ultra enthusiasts like to tweak and play with their hardware and see what it's capable of. I would take a power limit slider and 600w capability even if it's hot and super inefficient and have the option to limit it myself, or push it hard to see what it can do 10 times out of 10 over Nvidia bios limiting it to 350 watts and forcing us to have to flash the vbios or worse, do some kind of hardware mod. I think the fact that it is so efficient and can easily just be power limited to 350w while losing practically no performance is just a bonus.

Holy Moly!!!

Still here!

I left a comment down below. What you going to do about it? On more serious note, I can see a full theoretical die and amount of transistors for a particular chip? I never knew that this information is available. I need to figure our where I can find this info.

9bn trans are disable, that means 4090ti would be very interesting, because there are a lot of room to improve, unlike older generation

I reckon at some point they will release a unbinned version of the GPU as the 4090 Ti once they improve their defective chip %

My guess is that the area is 430mm² and that it's 75% larger than the GA chip.

I watched all the way

Did watch all the way LOL

Very much excited for RDNA3, I see no competitor from AMD, to the 4090, but if they can price their GPUs right, they can win big

Competition is the answer on how Nvidia was able to give 2.7 times more transistors.. It is always what drives innovation forward. They probably could have done it before except they didn't have any competition.

I am watching full video. You are genius RU-vidrs. Best and honest tech RU-vidr