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## 📌 Description

In flashinfer-ai#1809 we previously added a compute-capability-based support check
for `mm_fp4`.

However, we missed enabling SM121 for backend = `cudnn` and  `cutlass`. 
Additionally, we marked `trtllm` as supported on SM120 when it is not.

Current PR fixes it. Example benchmark and pytest command on SM121 after
the fix
```
(py312) root@f414f262f02a:/flashinfer/benchmarks# python3 flashinfer_benchmark.py --routine mm_fp4 --m 8192 --n 7168 --k 512 --out_dtype bfloat16 --backends cudnn cutlass --use_128x4_sf_layout --use_nvfp4 --refcheck --use_cupti
/opt/conda/envs/py312/lib/python3.12/site-packages/torch/cuda/__init__.py:285: UserWarning: 
    Found GPU0 NVIDIA GB10 which is of cuda capability 12.1.
    Minimum and Maximum cuda capability supported by this version of PyTorch is
    (8.0) - (12.0)
    
  warnings.warn(
[PERF] cudnn          :: median time 0.656 ms; std 0.025 ms; achieved tflops 91.701 TFLOPs/sec; achieved tb_per_sec 0.185 TB/sec
[PERF] cutlass        :: median time 0.669 ms; std 0.022 ms; achieved tflops 89.859 TFLOPs/sec; achieved tb_per_sec 0.181 TB/sec

(py312) root@f414f262f02a:/flashinfer# pytest tests/gemm/test_mm_fp4.py 
====================================================================================================================== test session starts ======================================================================================================================
platform linux -- Python 3.12.11, pytest-8.4.2, pluggy-1.6.0
rootdir: /flashinfer
configfile: pytest.ini
collected 3240 items     
...
======================================================================================================================= warnings summary ========================================================================================================================
../opt/conda/envs/py312/lib/python3.12/site-packages/torch/cuda/__init__.py:285
  /opt/conda/envs/py312/lib/python3.12/site-packages/torch/cuda/__init__.py:285: UserWarning: 
      Found GPU0 NVIDIA GB10 which is of cuda capability 12.1.
      Minimum and Maximum cuda capability supported by this version of PyTorch is
      (8.0) - (12.0)
      
    warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
========================================================================================================= 450 passed, 2790 skipped, 1 warning in 8.24s ==========================================================================================================


```

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## 🔍 Related Issues

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## 🧪 Tests

- [ ] Tests have been added or updated as needed.
- [ ] All tests are passing (`unittest`, etc.).

## Reviewer Notes

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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **New Features**
* Expanded hardware compatibility by adding support for newer NVIDIA GPU
architectures.
* FP4 quantized operations now available across multiple backends on
supported devices.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->