diff --git a/.buildkite/scripts/hardware_ci/run-tpu-v1-test.sh b/.buildkite/scripts/hardware_ci/run-tpu-v1-test.sh
index feaf2b35626..61ebddf82e4 100755
--- a/.buildkite/scripts/hardware_ci/run-tpu-v1-test.sh
+++ b/.buildkite/scripts/hardware_ci/run-tpu-v1-test.sh
@@ -136,8 +136,6 @@ run_and_track_test 3 "test_accuracy.py::test_lm_eval_accuracy_v1_engine" \
     "python3 -m pytest -s -v /workspace/vllm/tests/entrypoints/llm/test_accuracy.py::test_lm_eval_accuracy_v1_engine"
 run_and_track_test 4 "test_quantization_accuracy.py" \
     "python3 -m pytest -s -v /workspace/vllm/tests/tpu/test_quantization_accuracy.py"
-run_and_track_test 5 "examples/offline_inference/tpu.py" \
-    "python3 /workspace/vllm/examples/offline_inference/tpu.py"
 run_and_track_test 6 "test_tpu_model_runner.py" \
     "python3 -m pytest -s -v /workspace/vllm/tests/v1/tpu/worker/test_tpu_model_runner.py"
 run_and_track_test 7 "test_sampler.py" \
diff --git a/.buildkite/test-amd.yaml b/.buildkite/test-amd.yaml
index b3c77dcac7c..02820250f9b 100644
--- a/.buildkite/test-amd.yaml
+++ b/.buildkite/test-amd.yaml
@@ -394,8 +394,8 @@ steps:
     - python3 pooling/embed/vision_embedding_offline.py --seed 0
     # Features demo
     - python3 features/automatic_prefix_caching/prefix_caching_offline.py
-    - python3 offline_inference/llm_engine_example.py
-    - python3 others/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 others/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
+    - python3 deployment/llm_engine_example.py
+    - python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
 
@@ -1649,8 +1649,8 @@ steps:
     - python3 pooling/embed/vision_embedding_offline.py --seed 0
     # Features demo
     - python3 features/automatic_prefix_caching/prefix_caching_offline.py
-    - python3 offline_inference/llm_engine_example.py
-    - python3 others/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 others/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
+    - python3 deployment/llm_engine_example.py
+    - python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
 
@@ -2930,8 +2930,8 @@ steps:
   - python3 pooling/embed/vision_embedding_offline.py --seed 0
   # Features demo
   - python3 features/automatic_prefix_caching/prefix_caching_offline.py
-  - python3 offline_inference/llm_engine_example.py
-  - python3 others/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 others/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
+  - python3 deployment/llm_engine_example.py
+  - python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
   - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
   - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
 
diff --git a/.buildkite/test_areas/misc.yaml b/.buildkite/test_areas/misc.yaml
index c34d4c10b49..a9ae038b7b6 100644
--- a/.buildkite/test_areas/misc.yaml
+++ b/.buildkite/test_areas/misc.yaml
@@ -117,8 +117,8 @@ steps:
     - python3 pooling/embed/vision_embedding_offline.py --seed 0
     # for features demo
     - python3 features/automatic_prefix_caching/prefix_caching_offline.py
-    - python3 offline_inference/llm_engine_example.py
-    - python3 others/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 others/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
+    - python3 deployment/llm_engine_example.py
+    - python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
     # https://github.com/vllm-project/vllm/pull/26682 uses slightly more memory in PyTorch 2.9+ causing this test to OOM in 1xL4 GPU
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
diff --git a/.buildkite/test_areas/model_runner_v2.yaml b/.buildkite/test_areas/model_runner_v2.yaml
index 6a4338a5e40..93b5197a6fd 100644
--- a/.buildkite/test_areas/model_runner_v2.yaml
+++ b/.buildkite/test_areas/model_runner_v2.yaml
@@ -37,7 +37,7 @@ steps:
     - examples/generate/multimodal/
     - examples/features/
     - examples/pooling/embed/vision_embedding_offline.py
-    - examples/others/tensorize_vllm_model.py
+    - examples/features/tensorize_vllm_model.py
   commands:
     - set -x
     - export VLLM_USE_V2_MODEL_RUNNER=1
@@ -55,8 +55,8 @@ steps:
     - python3 pooling/embed/vision_embedding_offline.py --seed 0
     # for features demo
     - python3 features/automatic_prefix_caching/prefix_caching_offline.py
-    - python3 offline_inference/llm_engine_example.py
-    - python3 others/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 others/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
+    - python3 deployment/llm_engine_example.py
+    - python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m serialize --serialized-directory /tmp/ --suffix v1 && python3 examples/features/tensorize_vllm_model.py --model facebook/opt-125m deserialize --path-to-tensors /tmp/vllm/facebook/opt-125m/v1/model.tensors
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 2048
     # https://github.com/vllm-project/vllm/pull/26682 uses slightly more memory in PyTorch 2.9+ causing this test to OOM in 1xL4 GPU
     - python3 features/speculative_decoding/spec_decode_offline.py --test --method eagle3 --num_spec_tokens 3 --dataset-name hf --dataset-path philschmid/mt-bench --num-prompts 80 --temp 0 --top-p 1.0 --top-k -1 --tp 1 --enable-chunked-prefill --max-model-len 1536
diff --git a/docker/Dockerfile b/docker/Dockerfile
index fd0622e2416..1051ca97d3d 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -860,7 +860,7 @@ LABEL org.opencontainers.image.source="https://github.com/vllm-project/vllm" \
 # define sagemaker first, so it is not default from `docker build`
 FROM vllm-openai-base AS vllm-sagemaker
 
-COPY examples/online_serving/sagemaker-entrypoint.sh .
+COPY examples/deployment/sagemaker-entrypoint.sh .
 RUN chmod +x sagemaker-entrypoint.sh
 ENTRYPOINT ["./sagemaker-entrypoint.sh"]
 
diff --git a/docs/contributing/model/transcription.md b/docs/contributing/model/transcription.md
index 3e2ee38d2bd..b076ef84a46 100644
--- a/docs/contributing/model/transcription.md
+++ b/docs/contributing/model/transcription.md
@@ -278,7 +278,7 @@ Once your model implements `SupportsTranscription`, you can test the endpoints (
       http://localhost:8000/v1/audio/translations
     ```
 
-Or check out more examples in [examples/online_serving](../../../examples/online_serving).
+Or check out more examples in [examples/speech_to_text](../../../examples/speech_to_text).
 
 !!! note
     - If your model handles chunking internally (e.g., via its processor or encoder), set `min_energy_split_window_size=None` in the returned `SpeechToTextConfig` to disable server-side chunking.
diff --git a/docs/deployment/frameworks/helm.md b/docs/deployment/frameworks/helm.md
index a0aee70b1b3..45924dd6f7c 100644
--- a/docs/deployment/frameworks/helm.md
+++ b/docs/deployment/frameworks/helm.md
@@ -17,7 +17,7 @@ Before you begin, ensure that you have the following:
 
 ## Installing the chart
 
-This guide uses the Helm chart at [examples/online_serving/chart-helm](../../../examples/online_serving/chart-helm).
+This guide uses the Helm chart at [examples/deployment/chart-helm](../../../examples/deployment/chart-helm).
 
 To install the chart with the release name `test-vllm`:
 
diff --git a/docs/deployment/frameworks/lws.md b/docs/deployment/frameworks/lws.md
index 14710a8dc33..47586bcd700 100644
--- a/docs/deployment/frameworks/lws.md
+++ b/docs/deployment/frameworks/lws.md
@@ -40,7 +40,7 @@ Deploy the following yaml file `lws.yaml`
                 command:
                   - sh
                   - -c
-                  - "bash /vllm-workspace/examples/online_serving/multi-node-serving.sh leader --ray_cluster_size=$(LWS_GROUP_SIZE); 
+                  - "bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh leader --ray_cluster_size=$(LWS_GROUP_SIZE); 
                     vllm serve meta-llama/Meta-Llama-3.1-405B-Instruct --port 8080 --tensor-parallel-size 8 --pipeline_parallel_size 2"
                 resources:
                   limits:
@@ -73,7 +73,7 @@ Deploy the following yaml file `lws.yaml`
                 command:
                   - sh
                   - -c
-                  - "bash /vllm-workspace/examples/online_serving/multi-node-serving.sh worker --ray_address=$(LWS_LEADER_ADDRESS)"
+                  - "bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh worker --ray_address=$(LWS_LEADER_ADDRESS)"
                 resources:
                   limits:
                     nvidia.com/gpu: "8"
diff --git a/docs/deployment/frameworks/retrieval_augmented_generation.md b/docs/deployment/frameworks/retrieval_augmented_generation.md
index 8a5d18807d0..c23862cde72 100644
--- a/docs/deployment/frameworks/retrieval_augmented_generation.md
+++ b/docs/deployment/frameworks/retrieval_augmented_generation.md
@@ -36,7 +36,7 @@ pip install -U vllm \
     vllm serve qwen/Qwen1.5-0.5B-Chat --port 8001
     ```
 
-1. Use the script: [examples/online_serving/retrieval_augmented_generation_with_langchain.py](../../../examples/online_serving/retrieval_augmented_generation_with_langchain.py)
+1. Use the script: [examples/applications/rag/retrieval_augmented_generation_with_langchain.py](../../../examples/applications/rag/retrieval_augmented_generation_with_langchain.py)
 
 1. Run the script
 
@@ -74,7 +74,7 @@ pip install vllm \
     vllm serve qwen/Qwen1.5-0.5B-Chat --port 8001
     ```
 
-1. Use the script: [examples/online_serving/retrieval_augmented_generation_with_llamaindex.py](../../../examples/online_serving/retrieval_augmented_generation_with_llamaindex.py)
+1. Use the script: [examples/applications/rag/retrieval_augmented_generation_with_llamaindex.py](../../../examples/applications/rag/retrieval_augmented_generation_with_llamaindex.py)
 
 1. Run the script:
 
diff --git a/docs/deployment/frameworks/skypilot.md b/docs/deployment/frameworks/skypilot.md
index e9b0d5f0671..e032769f15e 100644
--- a/docs/deployment/frameworks/skypilot.md
+++ b/docs/deployment/frameworks/skypilot.md
@@ -59,7 +59,7 @@ See the vLLM SkyPilot YAML for serving, [serving.yaml](https://github.com/skypil
 
       echo 'Starting gradio server...'
       git clone https://github.com/vllm-project/vllm.git || true
-      python vllm/examples/online_serving/gradio_openai_chatbot_webserver.py \
+      python vllm/examples/applications/chatbot/gradio_openai_chatbot_webserver.py \
         -m $MODEL_NAME \
         --port 8811 \
         --model-url http://localhost:8081/v1 \
@@ -305,7 +305,7 @@ It is also possible to access the Llama-3 service with a separate GUI frontend,
 
       echo 'Starting gradio server...'
       git clone https://github.com/vllm-project/vllm.git || true
-      python vllm/examples/online_serving/gradio_openai_chatbot_webserver.py \
+      python vllm/examples/applications/api_client/gradio_openai_chatbot_webserver.py \
         -m $MODEL_NAME \
         --port 8811 \
         --model-url http://$ENDPOINT/v1 \
diff --git a/docs/deployment/frameworks/streamlit.md b/docs/deployment/frameworks/streamlit.md
index 1b214e1a32a..6c0c8c6c143 100644
--- a/docs/deployment/frameworks/streamlit.md
+++ b/docs/deployment/frameworks/streamlit.md
@@ -20,7 +20,7 @@ pip install vllm streamlit openai
     vllm serve Qwen/Qwen1.5-0.5B-Chat
     ```
 
-1. Use the script: [examples/online_serving/streamlit_openai_chatbot_webserver.py](../../../examples/online_serving/streamlit_openai_chatbot_webserver.py)
+1. Use the script: [examples/applications/chatbot/streamlit_openai_chatbot_webserver.py](../../../examples/applications/chatbot/streamlit_openai_chatbot_webserver.py)
 
 1. Start the streamlit web UI and start to chat:
 
diff --git a/docs/deployment/integrations/kthena.md b/docs/deployment/integrations/kthena.md
index 483dd747444..0989e5d67f0 100644
--- a/docs/deployment/integrations/kthena.md
+++ b/docs/deployment/integrations/kthena.md
@@ -78,7 +78,7 @@ Key points from the example YAML:
     - sh
     - -c
     - >
-      bash /vllm-workspace/examples/online_serving/multi-node-serving.sh leader --ray_cluster_size=2;
+      bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh leader --ray_cluster_size=2;
       python3 -m vllm.entrypoints.openai.api_server
         --port 8080
         --model meta-llama/Llama-3.1-405B-Instruct
@@ -93,7 +93,7 @@ Key points from the example YAML:
     - sh
     - -c
     - >
-      bash /vllm-workspace/examples/online_serving/multi-node-serving.sh worker --ray_address=$(ENTRY_ADDRESS)
+      bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh worker --ray_address=$(ENTRY_ADDRESS)
   ```
 
 ---
@@ -144,7 +144,7 @@ spec:
                 command:
                   - sh
                   - -c
-                  - "bash /vllm-workspace/examples/online_serving/multi-node-serving.sh leader --ray_cluster_size=2; 
+                  - "bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh leader --ray_cluster_size=2; 
                     python3 -m vllm.entrypoints.openai.api_server --port 8080 --model meta-llama/Llama-3.1-405B-Instruct --tensor-parallel-size 8 --pipeline-parallel-size 2"
                 resources:
                   limits:
@@ -178,7 +178,7 @@ spec:
                 command:
                   - sh
                   - -c
-                  - "bash /vllm-workspace/examples/online_serving/multi-node-serving.sh worker --ray_address=$(ENTRY_ADDRESS)"
+                  - "bash /vllm-workspace/examples/ray_serving/multi-node-serving.sh worker --ray_address=$(ENTRY_ADDRESS)"
                 resources:
                   limits:
                     nvidia.com/gpu: "8"
diff --git a/docs/examples/README.md b/docs/examples/README.md
index f5707ab6eee..e4cd1c87f4e 100644
--- a/docs/examples/README.md
+++ b/docs/examples/README.md
@@ -2,6 +2,6 @@
 
 vLLM's examples are split into three categories:
 
-- If you are using vLLM from within Python code, see the [Offline Inference](../../examples/offline_inference) section.
-- If you are using vLLM from an HTTP application or client, see the [Online Serving](../../examples/online_serving) section.
-- For examples of using some of vLLM's advanced features (e.g. LMCache or Tensorizer) which are not specific to either of the above use cases, see the [Others](../../examples/others) section.
+- If you are using vLLM from within Python code, see the [Offline Inference](.) section.
+- If you are using vLLM from an HTTP application or client, see the [Online Serving](.) section.
+- For examples of using some of vLLM's advanced features (e.g. LMCache or Tensorizer) which are not specific to either of the above use cases, see the [Others](.) section.
diff --git a/docs/features/quantization/auto_awq.md b/docs/features/quantization/auto_awq.md
index e77e8b5a1f4..e93005f2632 100644
--- a/docs/features/quantization/auto_awq.md
+++ b/docs/features/quantization/auto_awq.md
@@ -47,7 +47,7 @@ After installing AutoAWQ, you are ready to quantize a model. Please refer to the
 To run an AWQ model with vLLM, you can use [TheBloke/Llama-2-7b-Chat-AWQ](https://huggingface.co/TheBloke/Llama-2-7b-Chat-AWQ) with the following command:
 
 ```bash
-python examples/offline_inference/llm_engine_example.py \
+python examples/deployment/llm_engine_example.py \
     --model TheBloke/Llama-2-7b-Chat-AWQ \
     --quantization awq
 ```
diff --git a/docs/features/quantization/gptqmodel.md b/docs/features/quantization/gptqmodel.md
index f14a931725d..636a952b655 100644
--- a/docs/features/quantization/gptqmodel.md
+++ b/docs/features/quantization/gptqmodel.md
@@ -58,7 +58,7 @@ Here is an example of how to quantize `meta-llama/Llama-3.2-1B-Instruct`:
 To run an GPTQModel quantized model with vLLM, you can use [DeepSeek-R1-Distill-Qwen-7B-gptqmodel-4bit-vortex-v2](https://huggingface.co/ModelCloud/DeepSeek-R1-Distill-Qwen-7B-gptqmodel-4bit-vortex-v2) with the following command:
 
 ```bash
-python examples/offline_inference/llm_engine_example.py \
+python examples/deployment/llm_engine_example.py \
     --model ModelCloud/DeepSeek-R1-Distill-Qwen-7B-gptqmodel-4bit-vortex-v2
 ```
 
diff --git a/docs/features/reasoning_outputs.md b/docs/features/reasoning_outputs.md
index 374149786e1..f1cc18a25cb 100644
--- a/docs/features/reasoning_outputs.md
+++ b/docs/features/reasoning_outputs.md
@@ -157,7 +157,7 @@ OpenAI Python client library does not officially support `reasoning` attribute f
             print(content, end="", flush=True)
     ```
 
-Remember to check whether the `reasoning` exists in the response before accessing it. You could check out the [example](https://github.com/vllm-project/vllm/blob/main/examples/online_serving/openai_chat_completion_with_reasoning_streaming.py).
+Remember to check whether the `reasoning` exists in the response before accessing it. You could check out the [example](https://github.com/vllm-project/vllm/blob/main/examples/reasoning/openai_chat_completion_with_reasoning_streaming.py).
 
 ## Tool Calling
 
diff --git a/docs/getting_started/installation/gpu.xpu.inc.md b/docs/getting_started/installation/gpu.xpu.inc.md
index 8c282582281..e8b74a06f07 100644
--- a/docs/getting_started/installation/gpu.xpu.inc.md
+++ b/docs/getting_started/installation/gpu.xpu.inc.md
@@ -88,7 +88,7 @@ vllm serve facebook/opt-13b \
      -tp=8
 ```
 
-By default, a ray instance will be launched automatically if no existing one is detected in the system, with `num-gpus` equals to `parallel_config.world_size`. We recommend properly starting a ray cluster before execution, referring to the [examples/online_serving/run_cluster.sh](https://github.com/vllm-project/vllm/blob/main/examples/online_serving/run_cluster.sh) helper script.
+By default, a ray instance will be launched automatically if no existing one is detected in the system, with `num-gpus` equals to `parallel_config.world_size`. We recommend properly starting a ray cluster before execution, referring to the [examples/ray_serving/run_cluster.sh](https://github.com/vllm-project/vllm/blob/main/examples/ray_serving/run_cluster.sh) helper script.
 
 --8<-- [end:supported-features]
 --8<-- [start:distributed-backend]
diff --git a/docs/models/extensions/tensorizer.md b/docs/models/extensions/tensorizer.md
index 3df80d5af6c..0f3ee1ede43 100644
--- a/docs/models/extensions/tensorizer.md
+++ b/docs/models/extensions/tensorizer.md
@@ -14,7 +14,7 @@ To install `tensorizer`, run `pip install vllm[tensorizer]`.
 ## The basics
 
 To load a model using Tensorizer, the model first needs to be serialized by
-Tensorizer. [The example script](../../examples/others/tensorize_vllm_model.md) takes care of this process.
+Tensorizer. [The example script](../../../examples/features/tensorize_vllm_model.py) takes care of this process.
 
 Let's walk through a basic example by serializing `facebook/opt-125m` using the script, and then loading it for inference.
 
@@ -25,7 +25,7 @@ CLI arguments. The docstring for the script itself explains the CLI args
 and how to use it properly in great detail, and we'll use one of the examples from the docstring directly, assuming we want to serialize and save our model at our S3 bucket example `s3://my-bucket`:
 
 ```bash
-python examples/others/tensorize_vllm_model.py \
+python examples/features/tensorize_vllm_model.py \
    --model facebook/opt-125m \
    serialize \
    --serialized-directory s3://my-bucket \
@@ -35,7 +35,7 @@ python examples/others/tensorize_vllm_model.py \
 This saves the model tensors at `s3://my-bucket/vllm/facebook/opt-125m/v1`. If you intend on applying a LoRA adapter to your tensorized model, you can pass the HF id of the LoRA adapter in the above command, and the artifacts will be saved there too:
 
 ```bash
-python examples/others/tensorize_vllm_model.py \
+python examples/features/tensorize_vllm_model.py \
    --model facebook/opt-125m \
    --lora-path <lora_id> \
    serialize \
@@ -71,7 +71,7 @@ llm = LLM(
 As an example, CPU concurrency can be limited when serializing with `tensorizer` via the `limit_cpu_concurrency` parameter in the initializer for `TensorSerializer`. To set `limit_cpu_concurrency` to some arbitrary value, you would do so like this when serializing:
 
 ```bash
-python examples/others/tensorize_vllm_model.py \
+python examples/features/tensorize_vllm_model.py \
    --model facebook/opt-125m \
    --lora-path <lora_id> \
    serialize \
diff --git a/docs/serving/openai_compatible_server.md b/docs/serving/openai_compatible_server.md
index bf1c153ec0d..973c2ecdcb5 100644
--- a/docs/serving/openai_compatible_server.md
+++ b/docs/serving/openai_compatible_server.md
@@ -251,7 +251,7 @@ The following extra parameters are supported:
 Our Responses API is compatible with [OpenAI's Responses API](https://platform.openai.com/docs/api-reference/responses);
 you can use the [official OpenAI Python client](https://github.com/openai/openai-python) to interact with it.
 
-Code example: [examples/online_serving/openai_responses_client_with_tools.py](../../examples/tool_calling/openai_responses_client_with_tools.py)
+Code example: [examples/tool_calling/openai_responses_client_with_tools.py](../../examples/tool_calling/openai_responses_client_with_tools.py)
 
 #### Extra parameters
 
@@ -456,8 +456,8 @@ Audio must be sent as base64-encoded PCM16 audio at 16kHz sample rate, mono chan
 
 #### Example Clients
 
-- [openai_realtime_client.py](https://github.com/vllm-project/vllm/tree/main/examples/online_serving/openai_realtime_client.py) - Upload and transcribe an audio file
-- [openai_realtime_microphone_client.py](https://github.com/vllm-project/vllm/tree/main/examples/online_serving/openai_realtime_microphone_client.py) - Gradio demo for live microphone transcription
+- [openai_realtime_client.py](https://github.com/vllm-project/vllm/tree/main/examples/speech_to_text/realtime/openai_realtime_client.py) - Upload and transcribe an audio file
+- [openai_realtime_microphone_client.py](https://github.com/vllm-project/vllm/tree/main/examples/speech_to_text/realtime/openai_realtime_microphone_client.py) - Gradio demo for live microphone transcription
 
 ### Tokenizer API
 
diff --git a/examples/online_serving/api_client.py b/examples/applications/chatbot/api_client.py
similarity index 100%
rename from examples/online_serving/api_client.py
rename to examples/applications/chatbot/api_client.py
diff --git a/examples/online_serving/gradio_openai_chatbot_webserver.py b/examples/applications/chatbot/gradio_openai_chatbot_webserver.py
similarity index 97%
rename from examples/online_serving/gradio_openai_chatbot_webserver.py
rename to examples/applications/chatbot/gradio_openai_chatbot_webserver.py
index c76c60cc447..2a67aefc027 100644
--- a/examples/online_serving/gradio_openai_chatbot_webserver.py
+++ b/examples/applications/chatbot/gradio_openai_chatbot_webserver.py
@@ -5,7 +5,7 @@ Start vLLM API server:
     vllm serve meta-llama/Llama-2-7b-chat-hf
 
 Start Gradio OpenAI Chatbot Webserver:
-    python examples/online_serving/gradio_openai_chatbot_webserver.py \
+    python examples/applications/chatbot/gradio_openai_chatbot_webserver.py \
                     -m meta-llama/Llama-2-7b-chat-hf
 
 Note that `pip install --upgrade gradio` is needed to run this example.
diff --git a/examples/online_serving/gradio_webserver.py b/examples/applications/chatbot/gradio_webserver.py
similarity index 97%
rename from examples/online_serving/gradio_webserver.py
rename to examples/applications/chatbot/gradio_webserver.py
index 86d9ceb48bb..f75636409c2 100644
--- a/examples/online_serving/gradio_webserver.py
+++ b/examples/applications/chatbot/gradio_webserver.py
@@ -6,7 +6,7 @@ Start vLLM API server:
         --model meta-llama/Llama-2-7b-chat-hf
 
 Start Webserver:
-    python examples/online_serving/gradio_webserver.py
+    python examples/applications/chatbot/gradio_webserver.py
 
 Note that `pip install --upgrade gradio` is needed to run this example.
 More details: https://github.com/gradio-app/gradio
diff --git a/examples/online_serving/streamlit_openai_chatbot_webserver.py b/examples/applications/chatbot/streamlit_openai_chatbot_webserver.py
similarity index 100%
rename from examples/online_serving/streamlit_openai_chatbot_webserver.py
rename to examples/applications/chatbot/streamlit_openai_chatbot_webserver.py
diff --git a/examples/online_serving/retrieval_augmented_generation_with_langchain.py b/examples/applications/rag/retrieval_augmented_generation_with_langchain.py
similarity index 100%
rename from examples/online_serving/retrieval_augmented_generation_with_langchain.py
rename to examples/applications/rag/retrieval_augmented_generation_with_langchain.py
diff --git a/examples/online_serving/retrieval_augmented_generation_with_llamaindex.py b/examples/applications/rag/retrieval_augmented_generation_with_llamaindex.py
similarity index 100%
rename from examples/online_serving/retrieval_augmented_generation_with_llamaindex.py
rename to examples/applications/rag/retrieval_augmented_generation_with_llamaindex.py
diff --git a/examples/offline_inference/async_llm_streaming.py b/examples/deployment/async_llm_streaming.py
similarity index 98%
rename from examples/offline_inference/async_llm_streaming.py
rename to examples/deployment/async_llm_streaming.py
index b876d536e3a..ef69089a046 100644
--- a/examples/offline_inference/async_llm_streaming.py
+++ b/examples/deployment/async_llm_streaming.py
@@ -8,7 +8,7 @@ token-by-token output in offline inference scenarios. It demonstrates DELTA mode
 streaming where you receive new tokens as they are generated.
 
 Usage:
-    python examples/offline_inference/async_llm_streaming.py
+    python examples/deployment/async_llm_streaming.py
 """
 
 import asyncio
diff --git a/examples/online_serving/chart-helm/.helmignore b/examples/deployment/chart-helm/.helmignore
similarity index 100%
rename from examples/online_serving/chart-helm/.helmignore
rename to examples/deployment/chart-helm/.helmignore
diff --git a/examples/online_serving/chart-helm/Chart.yaml b/examples/deployment/chart-helm/Chart.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/Chart.yaml
rename to examples/deployment/chart-helm/Chart.yaml
diff --git a/examples/online_serving/chart-helm/README.md b/examples/deployment/chart-helm/README.md
similarity index 100%
rename from examples/online_serving/chart-helm/README.md
rename to examples/deployment/chart-helm/README.md
diff --git a/examples/online_serving/chart-helm/ct.yaml b/examples/deployment/chart-helm/ct.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/ct.yaml
rename to examples/deployment/chart-helm/ct.yaml
diff --git a/examples/online_serving/chart-helm/lintconf.yaml b/examples/deployment/chart-helm/lintconf.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/lintconf.yaml
rename to examples/deployment/chart-helm/lintconf.yaml
diff --git a/examples/online_serving/chart-helm/templates/_helpers.tpl b/examples/deployment/chart-helm/templates/_helpers.tpl
similarity index 100%
rename from examples/online_serving/chart-helm/templates/_helpers.tpl
rename to examples/deployment/chart-helm/templates/_helpers.tpl
diff --git a/examples/online_serving/chart-helm/templates/configmap.yaml b/examples/deployment/chart-helm/templates/configmap.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/configmap.yaml
rename to examples/deployment/chart-helm/templates/configmap.yaml
diff --git a/examples/online_serving/chart-helm/templates/custom-objects.yaml b/examples/deployment/chart-helm/templates/custom-objects.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/custom-objects.yaml
rename to examples/deployment/chart-helm/templates/custom-objects.yaml
diff --git a/examples/online_serving/chart-helm/templates/deployment.yaml b/examples/deployment/chart-helm/templates/deployment.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/deployment.yaml
rename to examples/deployment/chart-helm/templates/deployment.yaml
diff --git a/examples/online_serving/chart-helm/templates/hpa.yaml b/examples/deployment/chart-helm/templates/hpa.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/hpa.yaml
rename to examples/deployment/chart-helm/templates/hpa.yaml
diff --git a/examples/online_serving/chart-helm/templates/job.yaml b/examples/deployment/chart-helm/templates/job.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/job.yaml
rename to examples/deployment/chart-helm/templates/job.yaml
diff --git a/examples/online_serving/chart-helm/templates/poddisruptionbudget.yaml b/examples/deployment/chart-helm/templates/poddisruptionbudget.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/poddisruptionbudget.yaml
rename to examples/deployment/chart-helm/templates/poddisruptionbudget.yaml
diff --git a/examples/online_serving/chart-helm/templates/pvc.yaml b/examples/deployment/chart-helm/templates/pvc.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/pvc.yaml
rename to examples/deployment/chart-helm/templates/pvc.yaml
diff --git a/examples/online_serving/chart-helm/templates/secrets.yaml b/examples/deployment/chart-helm/templates/secrets.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/secrets.yaml
rename to examples/deployment/chart-helm/templates/secrets.yaml
diff --git a/examples/online_serving/chart-helm/templates/service.yaml b/examples/deployment/chart-helm/templates/service.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/templates/service.yaml
rename to examples/deployment/chart-helm/templates/service.yaml
diff --git a/examples/online_serving/chart-helm/tests/deployment_test.yaml b/examples/deployment/chart-helm/tests/deployment_test.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/tests/deployment_test.yaml
rename to examples/deployment/chart-helm/tests/deployment_test.yaml
diff --git a/examples/online_serving/chart-helm/tests/job_test.yaml b/examples/deployment/chart-helm/tests/job_test.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/tests/job_test.yaml
rename to examples/deployment/chart-helm/tests/job_test.yaml
diff --git a/examples/online_serving/chart-helm/tests/pvc_test.yaml b/examples/deployment/chart-helm/tests/pvc_test.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/tests/pvc_test.yaml
rename to examples/deployment/chart-helm/tests/pvc_test.yaml
diff --git a/examples/online_serving/chart-helm/values.schema.json b/examples/deployment/chart-helm/values.schema.json
similarity index 100%
rename from examples/online_serving/chart-helm/values.schema.json
rename to examples/deployment/chart-helm/values.schema.json
diff --git a/examples/online_serving/chart-helm/values.yaml b/examples/deployment/chart-helm/values.yaml
similarity index 100%
rename from examples/online_serving/chart-helm/values.yaml
rename to examples/deployment/chart-helm/values.yaml
diff --git a/examples/offline_inference/llm_engine_example.py b/examples/deployment/llm_engine_example.py
similarity index 100%
rename from examples/offline_inference/llm_engine_example.py
rename to examples/deployment/llm_engine_example.py
diff --git a/examples/online_serving/sagemaker-entrypoint.sh b/examples/deployment/sagemaker-entrypoint.sh
similarity index 100%
rename from examples/online_serving/sagemaker-entrypoint.sh
rename to examples/deployment/sagemaker-entrypoint.sh
diff --git a/examples/online_serving/disaggregated_serving/disagg_proxy_multiturn.py b/examples/disaggregated/disaggregated_serving/disagg_proxy_multiturn.py
similarity index 100%
rename from examples/online_serving/disaggregated_serving/disagg_proxy_multiturn.py
rename to examples/disaggregated/disaggregated_serving/disagg_proxy_multiturn.py
diff --git a/examples/others/logging_configuration.md b/examples/features/logging_configuration.md
similarity index 100%
rename from examples/others/logging_configuration.md
rename to examples/features/logging_configuration.md
diff --git a/examples/others/tensorize_vllm_model.py b/examples/features/tensorize_vllm_model.py
similarity index 97%
rename from examples/others/tensorize_vllm_model.py
rename to examples/features/tensorize_vllm_model.py
index 3644a03b32e..a89b1781264 100644
--- a/examples/others/tensorize_vllm_model.py
+++ b/examples/features/tensorize_vllm_model.py
@@ -33,7 +33,7 @@ https://github.com/coreweave/tensorizer
 To serialize a model, install vLLM from source, then run something 
 like this from the root level of this repository:
 
-python examples/others/tensorize_vllm_model.py \
+python examples/features/tensorize_vllm_model.py \
    --model facebook/opt-125m \
    serialize \
    --serialized-directory s3://my-bucket \
@@ -53,7 +53,7 @@ providing a `--keyfile` argument.
 To deserialize a model, you can run something like this from the root 
 level of this repository:
 
-python examples/others/tensorize_vllm_model.py \
+python examples/features/tensorize_vllm_model.py \
    --model EleutherAI/gpt-j-6B \
    --dtype float16 \
    deserialize \
@@ -71,11 +71,11 @@ shard's rank. Sharded models serialized with this script will be named as
 model-rank-%03d.tensors
 
 For more information on the available arguments for serializing, run 
-`python -m examples.others.tensorize_vllm_model serialize --help`.
+`python -m examples.features.tensorize_vllm_model serialize --help`.
 
 Or for deserializing:
 
-`python examples/others/tensorize_vllm_model.py deserialize --help`.
+`python examples/features/tensorize_vllm_model.py deserialize --help`.
 
 Once a model is serialized, tensorizer can be invoked with the `LLM` class 
 directly to load models:
@@ -100,7 +100,7 @@ vllm serve s3://my-bucket/vllm/facebook/opt-125m/v1 \
 In order to see all of the available arguments usable to configure 
 loading with tensorizer that are given to `TensorizerConfig`, run:
 
-`python examples/others/tensorize_vllm_model.py deserialize --help`
+`python examples/features/tensorize_vllm_model.py deserialize --help`
 
 under the `tensorizer options` section. These can also be used for
 deserialization in this example script, although `--tensorizer-uri` and
diff --git a/examples/observability/dashboards/README.md b/examples/observability/dashboards/README.md
index e5f5010a42a..29ec932cef2 100644
--- a/examples/observability/dashboards/README.md
+++ b/examples/observability/dashboards/README.md
@@ -43,7 +43,7 @@ Both platforms provide equivalent monitoring capabilities:
 First, navigate to this example's directory:
 
 ```bash
-cd examples/online_serving/dashboards
+cd examples/observability/dashboards
 ```
 
 ### Grafana
diff --git a/examples/online_serving/utils.py b/examples/online_serving/utils.py
deleted file mode 100644
index a512d8a31b5..00000000000
--- a/examples/online_serving/utils.py
+++ /dev/null
@@ -1,26 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
-from openai import APIConnectionError, OpenAI
-from openai.pagination import SyncPage
-from openai.types.model import Model
-
-
-def get_first_model(client: OpenAI) -> str:
-    """
-    Get the first model from the vLLM server.
-    """
-    try:
-        models: SyncPage[Model] = client.models.list()
-    except APIConnectionError as e:
-        raise RuntimeError(
-            "Failed to get the list of models from the vLLM server at "
-            f"{client.base_url} with API key {client.api_key}. Check\n"
-            "1. the server is running\n"
-            "2. the server URL is correct\n"
-            "3. the API key is correct"
-        ) from e
-
-    if len(models.data) == 0:
-        raise RuntimeError(f"No models found on the vLLM server at {client.base_url}")
-
-    return models.data[0].id
diff --git a/examples/pooling/embed/openai_embedding_long_text/service.sh b/examples/pooling/embed/openai_embedding_long_text/service.sh
index 37a8b625b7f..68950d04ee1 100644
--- a/examples/pooling/embed/openai_embedding_long_text/service.sh
+++ b/examples/pooling/embed/openai_embedding_long_text/service.sh
@@ -119,7 +119,7 @@ echo "   - API Key: $API_KEY"
 echo "   - Native Pooling: $POOLING_TYPE | Cross-chunk: MEAN"
 echo ""
 echo "🧪 Test the server with:"
-echo "   python examples/online_serving/openai_embedding_long_text/client.py"
+echo "   python examples/pooling/embed/openai_embedding_long_text/client.py"
 echo ""
 echo "📚 Enhanced features enabled:"
 echo "   ✅ Intelligent native pooling type detection"
diff --git a/examples/speech_to_text/lid/openai_lid_client.py b/examples/speech_to_text/lid/openai_lid_client.py
index 0ce0fbc9225..d91df3298c2 100644
--- a/examples/speech_to_text/lid/openai_lid_client.py
+++ b/examples/speech_to_text/lid/openai_lid_client.py
@@ -15,14 +15,14 @@ Start the vLLM server:
 Then run this script:
 
     # Use the built-in sample audio
-    python examples/online_serving/openai_lid_client.py
+    python examples/speech_to_text/lid/openai_lid_client.py
 
     # Use your own audio file(s)
-    python examples/online_serving/openai_lid_client.py \
+    python examples/speech_to_text/lid/openai_lid_client.py \
         --audio_paths audio_en.wav audio_zh.wav audio_fr.wav
 
     # Batch-identify multiple files in one run
-    python examples/online_serving/openai_lid_client.py \
+    python examples/speech_to_text/lid/openai_lid_client.py \
         --audio_paths /path/to/dir/*.wav
 
 Requirements:
diff --git a/requirements/common.txt b/requirements/common.txt
index 68f5e165b92..84317032524 100644
--- a/requirements/common.txt
+++ b/requirements/common.txt
@@ -41,7 +41,7 @@ compressed-tensors == 0.15.0.1 # required for compressed-tensors
 depyf==0.20.0 # required for profiling and debugging with compilation config
 cloudpickle # allows pickling lambda functions in model_executor/models/registry.py
 watchfiles # required for http server to monitor the updates of TLS files
-python-json-logger # Used by logging as per examples/others/logging_configuration.md
+python-json-logger # Used by logging as per examples/features/logging_configuration.md
 ninja # Required for xgrammar, rocm, tpu, xpu
 pybase64 # fast base64 implementation
 cbor2 # Required for cross-language serialization of hashable objects
diff --git a/tests/lora/test_llama_tp.py b/tests/lora/test_llama_tp.py
index abcce66fa9f..99c823238dd 100644
--- a/tests/lora/test_llama_tp.py
+++ b/tests/lora/test_llama_tp.py
@@ -184,7 +184,7 @@ def test_tp2_serialize_and_deserialize_lora(
         result = subprocess.run(
             [
                 sys.executable,
-                f"{VLLM_PATH}/examples/others/tensorize_vllm_model.py",
+                f"{VLLM_PATH}/examples/features/tensorize_vllm_model.py",
                 "--model",
                 MODEL_PATH,
                 "--lora-path",
diff --git a/tests/model_executor/model_loader/tensorizer_loader/test_tensorizer.py b/tests/model_executor/model_loader/tensorizer_loader/test_tensorizer.py
index 3b950c843c5..a15a624c905 100644
--- a/tests/model_executor/model_loader/tensorizer_loader/test_tensorizer.py
+++ b/tests/model_executor/model_loader/tensorizer_loader/test_tensorizer.py
@@ -460,7 +460,7 @@ async def test_serialize_and_serve_entrypoints(tmp_path):
         result = subprocess.run(
             [
                 sys.executable,
-                f"{VLLM_PATH}/examples/others/tensorize_vllm_model.py",
+                f"{VLLM_PATH}/examples/features/tensorize_vllm_model.py",
                 "--model",
                 model_ref,
                 "serialize",
diff --git a/vllm/assets/video.py b/vllm/assets/video.py
index f5e443db978..9ec2e4d1677 100644
--- a/vllm/assets/video.py
+++ b/vllm/assets/video.py
@@ -139,6 +139,6 @@ class VideoAsset:
         """
         Read audio data from the video asset, used in Qwen2.5-Omni examples.
 
-        See also: examples/offline_inference/qwen2_5_omni/only_thinker.py
+        See also: examples/generate/multimodal/qwen2_5_omni/only_thinker.py
         """
         return load_audio_pyav(self.video_path, sr=sampling_rate)[0]
diff --git a/vllm/model_executor/model_loader/tensorizer.py b/vllm/model_executor/model_loader/tensorizer.py
index 3e6ed248ff3..37d37d55f54 100644
--- a/vllm/model_executor/model_loader/tensorizer.py
+++ b/vllm/model_executor/model_loader/tensorizer.py
@@ -211,7 +211,7 @@ class TensorizerConfig(MutableMapping):
         encryption_keyfile: File path to a binary file containing a  
             binary key to use for decryption. `None` (the default) means 
             no decryption. See the example script in 
-            examples/others/tensorize_vllm_model.py. 
+            examples/features/tensorize_vllm_model.py. 
         s3_access_key_id: The access key for the S3 bucket. Can also be set via
             the S3_ACCESS_KEY_ID environment variable.
         s3_secret_access_key: The secret access key for the S3 bucket. Can also
@@ -579,7 +579,7 @@ def tensorizer_weights_iterator(
         "loading on vLLM, as tensorizer is forced to load to CPU. "
         "Consider deserializing a vLLM model instead for faster "
         "load times. See the "
-        "examples/others/tensorize_vllm_model.py example script "
+        "examples/features/tensorize_vllm_model.py example script "
         "for serializing vLLM models."
     )
 
diff --git a/vllm/model_executor/model_loader/tensorizer_loader.py b/vllm/model_executor/model_loader/tensorizer_loader.py
index c5bff131293..338f9eac072 100644
--- a/vllm/model_executor/model_loader/tensorizer_loader.py
+++ b/vllm/model_executor/model_loader/tensorizer_loader.py
@@ -73,7 +73,7 @@ class TensorizerLoader(BaseModelLoader):
         """Load a serialized model with tensorizer to the CPU.
 
         This is only necessary when the model isn't vLLM-tensorized (see
-        examples/others/tensorize_vllm_model.py) This should still
+        examples/features/tensorize_vllm_model.py) This should still
         be faster than default HuggingFace loading, but will be slower than
         loading a vLLM-tensorized model.
         """
@@ -104,7 +104,7 @@ class TensorizerLoader(BaseModelLoader):
         """Load serialized model weights with tensorizer.
 
         Expects a vLLM-tensorized model. See the
-        examples/others/tensorize_vllm_model.py example script
+        examples/features/tensorize_vllm_model.py example script
         for serializing vLLM models."""
         if is_vllm_tensorized(self.tensorizer_config):
             tensorizer_config = self._patch_tensorizer_config(model_config)