diff --git a/src/madengine/tools/run_models.py b/src/madengine/tools/run_models.py
index d5d7a01e..9e648590 100644
--- a/src/madengine/tools/run_models.py
+++ b/src/madengine/tools/run_models.py
@@ -634,9 +634,9 @@ def run_model_impl(
 
         if gpu_vendor.find("AMD") != -1:
             docker_options = "--network host -u root --group-add video \
-            --cap-add=SYS_PTRACE --cap-add SYS_ADMIN --device /dev/fuse --security-opt seccomp=unconfined --security-opt apparmor=unconfined "
+            --cap-add=SYS_PTRACE --cap-add SYS_ADMIN --device /dev/fuse --security-opt seccomp=unconfined --security-opt apparmor=unconfined --ipc=host "
         elif gpu_vendor.find("NVIDIA") != -1:
-            docker_options = "--cap-add=SYS_PTRACE --cap-add SYS_ADMIN --cap-add SYS_NICE --device /dev/fuse --security-opt seccomp=unconfined --security-opt apparmor=unconfined  --network host -u root "
+            docker_options = "--cap-add=SYS_PTRACE --cap-add SYS_ADMIN --cap-add SYS_NICE --device /dev/fuse --security-opt seccomp=unconfined --security-opt apparmor=unconfined  --network host -u root --ipc=host "
         else:
             raise RuntimeError("Unable to determine gpu vendor.")
 
@@ -909,13 +909,6 @@ def run_model(self, model_info: typing.Dict) -> bool:
         # Environment variable updates for MAD Public CI
         run_details.gpu_architecture = self.context.ctx["docker_env_vars"]["MAD_SYSTEM_GPU_ARCHITECTURE"]
 
-        # Check the setting of shared memory size
-        if "SHM_SIZE" in self.context.ctx:
-            shm_size = self.context.ctx["SHM_SIZE"]
-            if shm_size:
-                run_details.additional_docker_run_options += f" --shm-size={shm_size}"
-                print(f"Using SHM_SIZE from context: {shm_size}")
-
         # Check if model is deprecated
         if model_info.get("is_deprecated", False):
             print(f"WARNING: Model {model_info['name']} has been deprecated.")