diff --git a/trl/cli.py b/trl/cli.py
index 199b1c26703..f33725e7dc8 100644
--- a/trl/cli.py
+++ b/trl/cli.py
@@ -13,11 +13,10 @@
 # limitations under the License.
 
 import importlib.resources as resources
+import logging
 import os
 import sys
 
-import torch
-from accelerate import logging
 from accelerate.commands.launch import launch_command, launch_command_parser
 
 from .scripts.dpo import make_parser as make_dpo_parser
@@ -32,7 +31,7 @@
 from .scripts.vllm_serve import make_parser as make_vllm_serve_parser
 
 
-logger = logging.get_logger(__name__)
+logger = logging.getLogger(__name__)
 
 
 def main():
@@ -144,17 +143,6 @@ def main():
 
     elif args.command == "vllm-serve":
         (script_args,) = parser.parse_args_and_config()
-
-        # Known issue: Using DeepSpeed with tensor_parallel_size=1 and data_parallel_size>1 may cause a crash when
-        # launched via the CLI. Suggest running the module directly.
-        # More information: https://github.com/vllm-project/vllm/issues/17079
-        if script_args.tensor_parallel_size == 1 and script_args.data_parallel_size > 1 and torch.cuda.is_available():
-            logger.warning(
-                "Detected configuration: tensor_parallel_size=1 and data_parallel_size>1. This setup is known to "
-                "cause a crash when using the `trl vllm-serve` CLI entry point. As a workaround, please run the "
-                "server using the module path instead: `python -m trl.scripts.vllm_serve`",
-            )
-
         vllm_serve_main(script_args)