diff --git a/examples/gaudi_spawn.py b/examples/gaudi_spawn.py
index 4e6d23eab5..c0c8014076 100644
--- a/examples/gaudi_spawn.py
+++ b/examples/gaudi_spawn.py
@@ -56,6 +56,7 @@ def parse_args():
     parser.add_argument("--hostfile", type=str, default=None, help="Path to the file where hosts are specified.")
     parser.add_argument("--use_mpi", action="store_true", help="Use MPI for distributed training")
     parser.add_argument("--use_deepspeed", action="store_true", help="Use DeepSpeed for distributed training")
+    parser.add_argument("--master_port", type=int, default=29500, help="Master port used by DeepSpeed and MPI")
 
     # positional
     parser.add_argument(
@@ -99,6 +100,7 @@ def main():
         hostfile=args.hostfile,
         use_mpi=args.use_mpi,
         use_deepspeed=args.use_deepspeed,
+        master_port=args.master_port,
     )
 
     ret_code = distributed_runner.run()
diff --git a/examples/text-generation/README.md b/examples/text-generation/README.md
index cafe16d897..bc57fe30f3 100644
--- a/examples/text-generation/README.md
+++ b/examples/text-generation/README.md
@@ -42,6 +42,15 @@ To run generation with DeepSpeed-inference, you must launch the script as follow
 python ../gaudi_spawn.py --use_deepspeed --world_size number_of_devices run_generation.py ARGS
 ```
 
+To run multiple DeepSpeed tasks simultaneously, you can launch them with different `master_port` and [`HABANA_VISIBLE_MODULES`](https://docs.habana.ai/en/latest/PyTorch/PT_Multiple_Tenants_on_HPU/Multiple_Dockers_each_with_Single_Workload.html#running-distributed-workload-inside-the-docker-container), for example:
+
+```bash
+# the following tasks could run simultaneously in a container with 8 HPUs
+HABANA_VISIBLE_MODULES="0,1" python ../gaudi_spawn.py --use_deepspeed --world_size 2 run_generation.py ARGS     # using the default master_port=29500
+HABANA_VISIBLE_MODULES="2,3,4,5" python ../gaudi_spawn.py --use_deepspeed --world_size 4 --master_port 29501 run_generation.py ARGS
+HABANA_VISIBLE_MODULES="6,7" python ../gaudi_spawn.py --use_deepspeed --world_size 2 --master_port 29502 run_generation.py ARGS
+```
+
 Without DeepSpeed-inference, you can run the script with:
 
 ```bash
diff --git a/optimum/habana/distributed/distributed_runner.py b/optimum/habana/distributed/distributed_runner.py
index 251a8f3fc4..91911b826c 100644
--- a/optimum/habana/distributed/distributed_runner.py
+++ b/optimum/habana/distributed/distributed_runner.py
@@ -41,6 +41,7 @@ def __init__(
         hostfile: Union[str, Path] = None,
         use_mpi: bool = False,
         use_deepspeed: bool = False,
+        master_port: int = 29500,
         use_env: bool = False,
         map_by: bool = "socket",
         multi_hls=None,
@@ -68,6 +69,7 @@ def __init__(
         self._world_size = world_size
         self._hostfile = hostfile
         self._map_by = map_by
+        self._master_port = master_port
         self._use_env = use_env
         self._interpreter = f"{sys.executable} "
 
@@ -99,7 +101,7 @@ def __init__(
             elif use_mpi:
                 # Single-node multi-card run with MPI
                 self._model_env_vars["MASTER_ADDR"] = "localhost"
-                self._model_env_vars["MASTER_PORT"] = "12345"
+                self._model_env_vars["MASTER_PORT"] = self._master_port
                 self.create_single_node_setup_mpirun()
             else:
                 # Single-node multi-card run with torch.distributed
@@ -148,7 +150,7 @@ def create_single_card_setup(self, use_deepspeed=False):
         """
 
         if use_deepspeed:
-            self._interpreter = "deepspeed --num_gpus 1 "
+            self._interpreter = f"deepspeed --num_gpus 1 --master_port {self._master_port} "
         else:
             self._interpreter = f"{sys.executable} "
 
@@ -168,7 +170,9 @@ def create_single_node_setup_deepspeed(self):
         Single-node multi-card configuration setup for DeepSpeed.
         """
 
-        self._interpreter = f"deepspeed --num_nodes 1 --num_gpus {self._world_size} --no_local_rank "
+        self._interpreter = (
+            f"deepspeed --num_nodes 1 --num_gpus {self._world_size} --no_local_rank --master_port {self._master_port} "
+        )
 
     def create_single_node_setup(self):
         """
@@ -187,7 +191,7 @@ def create_multi_node_setup(self):
         """
 
         master_addr = self.process_hostfile()
-        self._interpreter = f"deepspeed --hostfile {self._hostfile} --master_addr {master_addr} --no_local_rank "
+        self._interpreter = f"deepspeed --hostfile {self._hostfile} --master_addr {master_addr} --no_local_rank --master_port {self._master_port} "
 
     def run(self):
         """