NVIDIA GeForce RTX 4090 with AD102 GPU rumored to ship with 100 TFLOPS of FP32 compute power

Published: 1st May 2022, 20:12 GMT   Comments

Please note that this post is tagged as a rumor.

NVIDIA GeForce RTX 4090 with over 100 TFLOPS of power

NVIDIA next-gen flagship GPU is rumored to deliver over 2.5 times more raw compute power over RTX 3090 Ti.

While the rumors about AMD RDNA3 flagship processor indicate it will offer over 4 times more single-precision compute power over RDNA2, NVIDIA is supposedly doing a similar upgrade to its upcoming flagship. The AD102 GPU, based on Ada Lovelace architecture, is expected to deliver over 100 TFLOPS of power, which is 2.5 more than 40 TFLOPS offered by RTX 3090 Ti and 2.8 times more than RTX 3090. The FP32 (single-precision) power does not automatically guarantee better gaming performance, though.

Both Greymon55 and Kopite7kimi agree that the TFLOPS war will only be a part of the battle for the fastest desktop graphics. There is more at play, such as raytracing acceleration, supported super-resolution tech and other features that may tip the scales in favor of any architecture.

To achieve 100 TFLOPS of power, the AD102 GPU with 18432 CUDA cores would have to be clocked at 2.7 GHz, but it’s almost certain that RTX 4090 will ship with a partially disabled GPU. Therefore, the clock speed will automatically be higher. According to Greymon55, next-gen flagship cards might ship with very similar clock speeds, which in the case of AMD Navi 31 GPU means 3.0 GHz and that’s assuming full GPU is used.

It is true that we know a lot about next-gen GPUs already, some rumors have been around for months. But this does not mean that we know everything yet. The FP32 CUDA/Stream Processor count can still change. What all leakers appear to agree with is that next-gen GPUs will require a lot of power.

Next-gen Flagship GPU Comparison (RUMORED)
VideoCardz.comGeForce RTX 3090 TIAD102NAVI 31
Fabrication NodeSAMSUNG 8NTSMC N5TSMC N5/N6
ArchitectureNVIDIA AmpereNVIDIA AdaAMD RDNA3
GPU PackageMonolithicMonolithicMulti-Chip-Module (MCM)
Estimated GPU Size628mm²~600mm²~800mm²
Graphics Dies112 GCD + 4 MCD + 1 IOD
GPU Mega Clusters7 Graphics Processing Clusters (GPC)12 Graphics Processing Clusters (GPC)2×3 Shader Engines
GPU Super Clusters42 Texture Processing Clusters (TPC)72 Texture Processing Clusters (TPC)2×30 RDNA Workgroups (WGP)
GPU Clusters84 Streaming Multiprocessors (SM)144 Streaming Multiprocessors (SM)120 Compute Units
FP32 Cores10752 CUDAs18432 CUDAs15360 Stream Processors
GPU Clock2.6 GHz~ 2.7 GHz~ 3.0 GHz
Memory & Bus21 Gbps 384-bit21 Gbps 384-bitTBC Gbps 256-bit
Cache6MB (L2 Cache)96MB (L2 Cache)256 or 512MB Infinity Cache
Power Consumption450W600WTBC
Release DateQ1 2022Q3/Q4 2022Q3/Q4 2022
FP32 Performance40 TFLOPS~ 100 TFLOPs~ 92 TFLOPs

Source: @kopite7kimi, @greymon55 via Wccftech

Comment Policy
  1. Comments must be written in English.
  2. Comments deemed to be spam or solely promotional in nature will be deleted. Including a link to relevant content is permitted, but comments should be relevant to the post topic. Discussions about politics are not allowed on this website.
  3. Comments and usernames containing language or concepts that could be deemed offensive will be deleted.
  4. Comments complaining about the post subject or its source will be removed.
  5. A failure to comply with these rules will result in a warning and, in extreme cases, a ban. In addition, please note that comments that attack or harass an individual directly will result in a ban without warning.
  6. VideoCardz has never been sponsored by AMD, Intel, or NVIDIA. Users claiming otherwise will be banned.
  7. VideoCardz Moderating Team reserves the right to edit or delete any comments submitted to the site without notice.
  8. If you have any questions about the commenting policy, please let us know through the Contact Page.
Hide Comment Policy