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Monday, April 25, 2022

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

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:

GPU TU102 GA102 AD102
Flagship SKU RTX 2080 Ti RTX 3090 Ti RTX 4090?
Architecture Turing Ampere Ada Lovelace
Process TSMC 12nm NFF Samsung 8nm TSMC 4N?
Die Size 754mm2 628mm2 ~600mm2
Graphics Processing Clusters (GPC) 6 7 12
Texture Processing Clusters (TPC) 36 42 72
Streaming Multiprocessors (SM) 72 84 144
CUDA Cores 4608 10752 18432
L2 Cache 6 MB 6 MB 96 MB
Theoretical TFLOPs 16 TFLOPs 40 TFLOPs ~90 TFLOPs?
Memory Type GDDR6 GDDR6X GDDR6X
Memory Capacity 11 GB (2080 Ti) 24 GB (3090 Ti) 24 GB (4090?)
Memory Speed 14 Gbps 21 Gbps 24 Gbps?
Memory Bandwidth 616 GB/s 1.008 GB/s 1152 GB/s?
Memory Bus 384-bit 384-bit 384-bit
PCIe Interface PCIe Gen 3.0 PCIe Gen 4.0 PCIe Gen 4.0
TGP 250W 350W 600W?
Release Sep. 2018 Sept. 20 2H 2022 (TBC)

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