diff --git a/docs/source/contributing/profiling/profiling_index.md b/docs/source/contributing/profiling/profiling_index.md
index 79aeb292a9b7..3d044f890382 100644
--- a/docs/source/contributing/profiling/profiling_index.md
+++ b/docs/source/contributing/profiling/profiling_index.md
@@ -1,15 +1,15 @@
 # Profiling vLLM
 
+:::{warning}
+Profiling is only intended for vLLM developers and maintainers to understand the proportion of time spent in different parts of the codebase. **vLLM end-users should never turn on profiling** as it will significantly slow down the inference.
+:::
+
 We support tracing vLLM workers using the `torch.profiler` module. You can enable tracing by setting the `VLLM_TORCH_PROFILER_DIR` environment variable to the directory where you want to save the traces: `VLLM_TORCH_PROFILER_DIR=/mnt/traces/`
 
 The OpenAI server also needs to be started with the `VLLM_TORCH_PROFILER_DIR` environment variable set.
 
 When using `benchmarks/benchmark_serving.py`, you can enable profiling by passing the `--profile` flag.
 
-:::{warning}
-Only enable profiling in a development environment.
-:::
-
 Traces can be visualized using <https://ui.perfetto.dev/>.
 
 :::{tip}