cudaError_t 209, unable to build for newer versions of cuda

I want to thank you for your work so far. 👍 The Vosk project is amazing and the cpu containers works very well!
I can get by with the cpu based model.. but the gpu model fails when running on current hardware.

My host os is running cuda 13.1 ( minimum version for my gpu is 12.8 )
Current version the container is built from is: nvidia/cuda:12.1.0-devel-ubuntu22.04.

I have tried running it with the nvidia runtime:
> docker run --gpus all --runtime=nvidia -p 2700:2700 alphacep/kaldi-en-gpu

I have tried running it without the nvidia runtime:
> docker run --gpus all -p 2700:2700 alphacep/kaldi-en-gpu

I have also tried to rebuild the images by upgrading the base images to cuda to 12.8.0,12.8.1 and the newer 13.x images with no luck.
The build-gpu.sh builds always fail when constructing the first container with the updated versions of cuda.

The log from vosk starting up on my current machine.

> WARNING ([5.5.1089~1-a25f2]:SelectGpuId():cu-device.cc:243) Not in compute-exclusive mode. Suggestion: use 'nvidia-smi -c 3' to set compute exclusive mode
LOG ([5.5.1089~1-a25f2]:SelectGpuIdAuto():cu-device.cc:438) Selecting from 1 GPUs
LOG ([5.5.1089~1-a25f2]:SelectGpuIdAuto():cu-device.cc:453) cudaSetDevice(0): NVIDIA GeForce RTX 5090 free:30927M, used:1679M, total:32606M, free/total:0.94849
LOG ([5.5.1089~1-a25f2]:SelectGpuIdAuto():cu-device.cc:501) Device: 0, mem_ratio: 0.94849
LOG ([5.5.1089~1-a25f2]:SelectGpuId():cu-device.cc:382) Trying to select device: 0
LOG ([5.5.1089~1-a25f2]:SelectGpuIdAuto():cu-device.cc:511) Success selecting device 0 free mem ratio: 0.94849
LOG ([5.5.1089~1-a25f2]:FinalizeActiveGpu():cu-device.cc:338) The active GPU is [0]: NVIDIA GeForce RTX 5090 free:29643M, used:2963M, total:32606M, free/total:0.909111 version 12.0
ERROR ([5.5.1089~1-a25f2]:AddVecVec():cu-vector.cc:572) cudaError_t 209 : "no kernel image is available for execution on the device" returned from 'cudaGetLastError()'
>
>[ Stack-Trace: ]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(kaldi::MessageLogger::LogMessage() const+0x80e) [0x73dae501a38e]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(+0x742363) [0x73dae4f0a363]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(kaldi::CuVectorBase::AddVecVec(double, kaldi::CuVectorBase const&, kaldi::CuVectorBase const&, double)+0x2ca) [0x73dae4f1903a]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(kaldi::nnet3::BatchNormComponent::Read(std::istream&, bool)+0x1f7) [0x73dae4e73da7]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(kaldi::nnet3::Component::ReadNew(std::istream&, bool)+0xab) [0x73dae4e3b06b]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(kaldi::nnet3::Nnet::Read(std::istream&, bool)+0x50e) [0x73dae4dcfb3e]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(kaldi::nnet3::AmNnetSimple::Read(std::istream&, bool)+0x1a) [0x73dae4dc4c1a]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(BatchModel::BatchModel(char const*)+0x836) [0x73dae4b9bc36]
/usr/local/lib/python3.10/dist-packages/vosk-0.3.45-py3.10.egg/vosk/libvosk.so(vosk_batch_model_new+0x26) [0x73dae4b964f6]
/usr/local/lib/python3.10/dist-packages/_cffi_backend.cpython-310-x86_64-linux-gnu.so(+0x25052) [0x73dae8616052]
/usr/local/lib/python3.10/dist-packages/_cffi_backend.cpython-310-x86_64-linux-gnu.so(+0x2320c) [0x73dae861420c]
/usr/local/lib/python3.10/dist-packages/_cffi_backend.cpython-310-x86_64-linux-gnu.so(+0x210ff) [0x73dae86120ff]
python3(_PyObject_MakeTpCall+0x25b) [0x5d1cb8f814ab]
python3(_PyEval_EvalFrameDefault+0x6db6) [0x5d1cb8f79e66]
python3(_PyObject_FastCallDictTstate+0xc4) [0x5d1cb8f80634]
python3(+0x166e94) [0x5d1cb8f94e94]
python3(_PyObject_MakeTpCall+0x1fc) [0x5d1cb8f8144c]
python3(_PyEval_EvalFrameDefault+0x6765) [0x5d1cb8f79815]
python3(+0x17a150) [0x5d1cb8fa8150]
/usr/lib/python3.10/lib-dynload/_asyncio.cpython-310-x86_64-linux-gnu.so(+0x962e) [0x73dae94b162e]
/usr/lib/python3.10/lib-dynload/_asyncio.cpython-310-x86_64-linux-gnu.so(+0x9444) [0x73dae94b1444]
python3(_PyObject_MakeTpCall+0x25b) [0x5d1cb8f814ab]
python3(+0x2eaab2) [0x5d1cb9118ab2]
python3(+0x1503bb) [0x5d1cb8f7e3bb]
python3(_PyEval_EvalFrameDefault+0x2a40) [0x5d1cb8f75af0]
python3(_PyFunction_Vectorcall+0x7c) [0x5d1cb8f8b1ec]
python3(_PyEval_EvalFrameDefault+0x81b) [0x5d1cb8f738cb]
python3(_PyFunction_Vectorcall+0x7c) [0x5d1cb8f8b1ec]
python3(_PyEval_EvalFrameDefault+0x81b) [0x5d1cb8f738cb]
python3(_PyFunction_Vectorcall+0x7c) [0x5d1cb8f8b1ec]
python3(_PyEval_EvalFrameDefault+0x81b) [0x5d1cb8f738cb]
python3(_PyFunction_Vectorcall+0x7c) [0x5d1cb8f8b1ec]
python3(_PyEval_EvalFrameDefault+0x81b) [0x5d1cb8f738cb]
python3(_PyFunction_Vectorcall+0x7c) [0x5d1cb8f8b1ec]
python3(_PyEval_EvalFrameDefault+0x63b2) [0x5d1cb8f79462]
python3(+0x141ed6) [0x5d1cb8f6fed6]
python3(PyEval_EvalCode+0x86) [0x5d1cb9066366]
python3(+0x265108) [0x5d1cb9093108]
python3(+0x25df5b) [0x5d1cb908bf5b]
python3(+0x264e55) [0x5d1cb9092e55]
python3(_PyRun_SimpleFileObject+0x1a8) [0x5d1cb9092338]
python3(_PyRun_AnyFileObject+0x43) [0x5d1cb9092033]
python3(Py_RunMain+0x2be) [0x5d1cb90832de]
python3(Py_BytesMain+0x2d) [0x5d1cb905932d]
/lib/x86_64-linux-gnu/libc.so.6(+0x29d90) [0x73dae97b1d90]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0x80) [0x73dae97b1e40]
python3(_start+0x25) [0x5d1cb9059225]
>
terminate called after throwing an instance of 'kaldi::KaldiFatalError'
what(): kaldi::KaldiFatalError