
For quite a while, Nvidia was expected to be working on an RTX 5000 SUPER series as a step up from the vanilla 50 series that is currently headlined by the RTX 5090. There were even rumored specs that leaked, though evidently, none of that has materialized.
However, it finally looks like Nvidia may make a move and launch a new card, according to a new report. Surprisingly, perhaps, this is not related to the SUPER series at all, and instead, Team Green could be bringing a new RTX 5090 "SE" model instead. The news comes from Russian outlet GameGPU, which claims that this will be a highly chopped-down variant of the 5090.
How much, you ask? According to the report, there may only be 14,080 CUDA cores or a total of 110 SMs (streaming multiprocessors). In comparison, the RTX 5090 has 21,760 CUDA cores or 170 SMs, respectively. Aside from the core configuration, the memory subsystem is also said to go down from a 512-bit width to a 384-bit interface. Thus, the memory capacity will see a reduction down to 24GB on the SE versus 32GB on the full 5090.
Here is how the alleged RTX 5090 SE will compare spec-wise to the 5090, 5080, and 5070 Ti:
| RTX 5090 | RTX 5090 SE | RTX 5080 | RTX 5070 Ti | |
|---|---|---|---|---|
| Architecture | Blackwell | Blackwell | Blackwell | Blackwell |
| CUDA Cores | 21,760 | 14,080 | 10,752 | 8,960 |
| Tensor Cores | 5th Gen (3352 TOPS) | 5th Gen (NA) | 5th Gen (1801 TOPS) | 5th Gen (1406 TOPS) |
| RT Cores | 4th Gen (318 TFLOPS) | 4th Gen (NA) | 4th Gen (171 TFLOPS) | 4th Gen (133 TFLOPS) |
| Boost Clock | 2.41 GHz | NA | 2.62 GHz | 2.45 GHz |
| Base Clock | 2.01 GHz | NA | 2.30 GHz | 2.30 GHz |
| Memory | 32 GB GDDR7 | 24 GB GDDR7 | 16 GB GDDR7 | 16 GB GDDR7 |
| Memory Interface | 512-bit | 384-bit | 256-bit | 256-bit |
| Memory Bandwidth | 1792 GB/s | NA | 960 GB/s | 896 GB/s |
Thus, in terms of performance, the RTX 5090 SE could be right in the middle of the 5090 and the 5080. If the report is indeed true, we will have to see how Nvidia prices this thing, especially in these current times where hardware prices are very high.
Source: GameGPU
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