RTX 4090 Chip deep-dive

Join me on a deep-drive into Nvidia's AD102 chip, the chip powering the RTX 4090! We will discover the true size of this "chip monster" manufactured in TSMCs 4N process node, talk about the large L2 cache, a possible RTX 4090 Ti, discuss pricing and the future of Ada Lovelace.

0:00 AD102: The huge chip inside the RTX 4090
3:03 Process nodes, transistors density & die-size
7:02 Where did all the transistors go?
7:35 RT-Cores & Tensor-Cores
9:26 Memory System / L2 Cache
10:51 GPU Binning
13:41 Power Efficiency
16:27 Pricing & 4090 Ti

[HighYield]

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?

[mtunayucer]

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

[bartpelle]

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.

[Sam_Saraguy]

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

[joehorecny]

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.

[Dnaliaht]

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

[simonchung]

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.

[skoggiehoggins]

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!

[Darcyds]

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

[damonm]

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

[ACuriousSteve]

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!

[wwjnz]

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.

[theminererz]

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!

[breadtoucher]

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

[glitchy_star_classes]

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

[TrevorsMailbox]

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.

[davidgunther]

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.

[rickd]

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.

[yevgeniygorbachev]

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.

[crithylum]

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