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unable to configure conda environment

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I am currently working on a project where I need to work with very specific gpu drivers and python packages. I am able to build the environment with those packages but they do not reflect in the system. Below is a summary of the packages in my environment(i have cropped out the few but include the necessary ones):

packages in environment at /home/#####/anaconda3/envs/AML_task_itr_1:Name                    Version                   Build  Channel_libgcc_mutex             0.1                        main  _openmp_mutex             5.1                       1_gnu  _tflow_select             2.3.0                       mkl ***cudatoolkit               11.8.0               h6a678d5_0***numpy                     1.26.4           py39h5f9d8c6_0  numpy-base                1.26.4           py39hb5e798b_0  oauthlib                  3.2.2            py39h06a4308_0  openssl                   1.1.1w               h7f8727e_0  opt_einsum                3.3.0              pyhd3eb1b0_1  packaging                 23.2             py39h06a4308_0  pip                       23.3.1           py39h06a4308_0  protobuf                  3.20.3           py39h6a678d5_0  pyasn1                    0.4.8              pyhd3eb1b0_0  pyasn1-modules            0.2.8                      py_0  pycparser                 2.21               pyhd3eb1b0_0  pyjwt                     2.4.0            py39h06a4308_0  pyopenssl                 23.2.0           py39h06a4308_0  pysocks                   1.7.1            py39h06a4308_0  ***python                    3.9.18               h7a1cb2a_0***  python-flatbuffers        2.0                pyhd3eb1b0_0  ***tensorboard               2.10.0           py39h06a4308_0***  tensorboard-data-server   0.6.1            py39h52d8a92_0  tensorboard-plugin-wit    1.8.1            py39h06a4308_0  tensorflow                2.10.0          mkl_py39hdc5b6f4_0  tensorflow-base           2.10.0          mkl_py39hb9daa73_0  tensorflow-estimator      2.10.0           py39h06a4308_0 **now within this environment i try to check my gpu version i am getting the following info**(AML_task_itr_1) #####:~$ nvidia-smiSat Apr  6 00:58:41 2024       +---------------------------------------------------------------------------------------+| NVIDIA-SMI 535.161.07             Driver Version: 535.161.07   ***CUDA Version: 12.2***     ||-----------------------------------------+----------------------+----------------------+| GPU  Name                 Persistence-M | Bus-Id        Disp.A | Volatile Uncorr. ECC || Fan  Temp   Perf          Pwr:Usage/Cap |         Memory-Usage | GPU-Util  Compute M. ||                                         |                      |               MIG M. ||=========================================+======================+======================||   0  NVIDIA GeForce RTX 2070        Off | 00000000:01:00.0 Off |                  N/A || N/A   36C    P5              26W /  40W |      6MiB /  8192MiB |      0%      Default ||                                         |                      |                  N/A |+-----------------------------------------+----------------------+----------------------+

I have highlighted the gpu version in both cases.I am working on Ubuntu 22.04 LTSNote the current env (AML_task_itr_1) info is not that of the base environment and the nvidia-smi command show the native system configure though i was expecting this command to show me the configuration for the current conda environment.I have highlighted the packages of my interest

I wish to work with cuda=11.8 but i am not able to configure the environment please help.

please help


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