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NVIDIA plans on using TSMC’s 5nm for its Ada Lovelace GPUs while ditching Samsung

Nivedita Bangari by Nivedita Bangari
August 30, 2021
in News, Technology
0
NVIDIA

NVIDIA’s upcoming next-generation Adaa Lovelace GPUs will be a hard hitter in the market and will be a brand new architecture built on TSMC’s 5nm process.

This latest update is a pretty huge one and if this news is true then the Ada Lovelace will be epic. The leaker of this information is Kopite who has pretty much leaked all the details of the Turing and Ampere architectures and has historically been extremely accurate. So this leak holds pretty high value in the market.

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The same leaker has already confirmed previously that the Ada Lovelace architecture will be built on the 5nm process, however, until now it was assumed to be a Samsung node. This was because the fact NVIDIA has accurately predicted that the demand for chips would soon be hitting TSMC hard as it had to share resources with Apple and AMD.

of course TSMC N5

— kopite7kimi (@kopite7kimi) August 26, 2021

however, if this leak is indeed true and NVIDIA is going back to TSMC then this means that the South Korean tech giant has just recently lost a huge client. Even if they build the high-end chips on TSMC and keep the low end at Samsung it still means that NVIDIA has lost faith in Samsung’s ability to keep pace with the bleeding edge nodes.

Ada Lovelace will come out a little bit earlier. Keep patient.

— kopite7kimi (@kopite7kimi) August 26, 2021

there are also reports that NVIDIA’s Ada Lovelace GPU will be arriving sooner than expected, however, for now, the concrete details are un-available. Rumours have put the arrival of Ada Lovelace GPUs between Q2 2022 and Q4 2022, if the recent reports are true, then we can expect that the GPUs might come out in Q2 2022.

NVIDIA CUDA GPU (RUMORED) Preliminary:

GPUTU102GA102AD102
ArchitectureTuringAmpereAda Lovelace
ProcessTSMC 12nm NFFSamsung 8nm5nm
Graphics Processing Clusters (GPC)6712
Texture Processing Clusters (TPC)364272
Streaming Multiprocessors (SM)7284144
CUDA Cores46081075218432
Theoretical TFLOPs16.137.6~80 TFLOPs?
Flagship SKURTX 2080 TiRTX 3090RTX 4090?
TGP250W350W400-500W
ReleaseSep. 2018Sept. 202022 (TBC)

source

Tags: Ada Lovelace GPUNVIDIA
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