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NVIDIA Ada Lovelace GPUs To Have A Node Advantage Over AMD RDNA 3, Rumored To Utilize TSMC 4N Process

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NVIDIA's Ada Lovelace GPUs for next-gen GeForce RTX 40 Gaming graphics cards will have a node advantage over AMD's RDNA 3, as reported by Moore's Law is Dead.

NVIDIA Ada Lovelace Gaming GPUs Rumored To Utilize TSMC's 4N Process Node, Giving A Slight Advantage Over AMD's RDNA 3 GPUs

From what we know so far, NVIDIA was expected to utilize TSMC's 5nm process node for their Ada Lovelace GPUs that power the next-generation gaming graphics cards aka GeForce RTX 40 series. It looks like the specific node has been revealed by Moore's Law is Dead in a recent tweet. As per the latest rumor, the NVIDIA Ada Lovelace GPUs will be based on the TSMC 4N process node.

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Yep, that's the same TSMC 4N process node that powers the Hopper GPUs for the data center HPC market. As for what we know about the TSMC 4N process node, it is a revision of their 5nm process (not to be confused with 4nm/N4 which is a completely different node). The TSMC 4N process node is custom-designed exclusively for NVIDIA and hosts a range of optimizations that allows for better power efficiency, performance, and a minor boost to density versus the vanilla TSMC 5nm node.

The reasons why NVIDIA may have selected TSMC's 4N as the candidate for its next-gen gaming GPU lineup are kind of obvious. The upcoming cards will be real power-hungry and NVIDIA & the company is going to optimize them as much as they can by utilizing the 4N process node. AMD on the other hand will be utilizing a mix of TSMC 5nm and 6nm process nodes for its upcoming MCM and monolithic GPUs based on the RDNA 3 graphics architecture and while they don't bring the optimizations that 4N does, they will feature an MCM approach that is expected to be highly efficient.

So at the end of the day, NVIDIA gets the better node while AMD delivers a better design approach. At the end of the day, these won't matter much to end-users who only want to play their games on the best possible hardware (graphics cards) they could get their hands on.

NVIDIA CUDA GPU (RUMORED) Preliminary:

GPUTU102GA102AD102
Flagship SKURTX 2080 TiRTX 3090 TiRTX 4090?
ArchitectureTuringAmpereAda Lovelace
ProcessTSMC 12nm NFFSamsung 8nmTSMC 4N?
Die Size754mm2628mm2~600mm2
Graphics Processing Clusters (GPC)6712
Texture Processing Clusters (TPC)364272
Streaming Multiprocessors (SM)7284144
CUDA Cores46081075218432
L2 Cache6 MB6 MB96 MB
Theoretical TFLOPs 16 TFLOPs40 TFLOPs~90 TFLOPs?
Memory TypeGDDR6GDDR6XGDDR6X
Memory Capacity11 GB (2080 Ti)24 GB (3090 Ti)24 GB (4090?)
Memory Speed14 Gbps21 Gbps24 Gbps?
Memory Bandwidth616 GB/s1.008 GB/s1152 GB/s?
Memory Bus384-bit384-bit384-bit
PCIe InterfacePCIe Gen 3.0PCIe Gen 4.0PCIe Gen 4.0
TGP250W350W600W?
ReleaseSep. 2018Sept. 202H 2022 (TBC)
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