[Bug Report]: shm_size issue while deploying ensemble models on triton

**Describe the bug**
I am deploying an ensemble of an NLP model. While running the code specified, I get this error:
```
Unable to initialize shared memory key 'triton_python_backend_shm_region_2' to requested size
```
Based on my investigation, each of the directories with python_backend, needs 64MB of shm. On the other hand, there isn't any option to change the shm_size of the container. Then, how we can solve the problem?

No file or test is named; start by reproducing the ensemble deployment described in the report and inspect the container's shared-memory configuration around Triton Python backend initialization. Done means a verified way to deploy the ensemble without the shared-memory error, with the required configuration documented.

Written by the indexing model from the issue text.