diff --git a/recipes/README.md b/recipes/README.md
index 69ce4d750..2dcad5f98 100644
--- a/recipes/README.md
+++ b/recipes/README.md
@@ -31,6 +31,7 @@ recipes/
   recipe for Wan2.2 14B on `8x Ascend NPU (A2/A3)`
 - [`inclusionAI/Ming-flash-omni-2.0.md`](./inclusionAI/Ming-flash-omni-2.0.md):
   online serving recipe for multimodal chat (`4x H100 80GB`) and standalone TTS (`1x H100 80GB`)
+- [`fishaudio/Fish-Speech-S2-Pro.md`](./fishaudio/Fish-Speech-S2-Pro.md): online serving recipe for TTS on `1x A800 80GB`
 
 Within a single recipe file, include different hardware support sections such
 as `GPU`, `ROCm`, and `NPU`, and add concrete tested configurations like
diff --git a/recipes/fishaudio/Fish-Speech-S2-Pro.md b/recipes/fishaudio/Fish-Speech-S2-Pro.md
new file mode 100644
index 000000000..20cfdce61
--- /dev/null
+++ b/recipes/fishaudio/Fish-Speech-S2-Pro.md
@@ -0,0 +1,102 @@
+# Fish Speech S2 Pro
+
+## Summary
+
+- Vendor: FishAudio
+- Model: `fishaudio/s2-pro`
+- Task: Text-to-speech synthesis with optional voice cloning
+- Mode: Online serving with the OpenAI-compatible `/v1/audio/speech` API
+- Maintainer: Community
+
+## When to use this recipe
+
+Use this recipe as a practical baseline for running `fishaudio/s2-pro` for
+high-quality text-to-speech synthesis. Fish Speech S2 Pro outputs 44.1 kHz
+audio and supports voice cloning from reference audio.
+
+## References
+
+- User guide: [`docs/user_guide/examples/online_serving/fish_speech.md`](../../docs/user_guide/examples/online_serving/fish_speech.md)
+- Example guide: [`examples/online_serving/fish_speech/README.md`](../../examples/online_serving/fish_speech/README.md)
+- Related issue or discussion:
+  [RFC: add recipes folder](https://github.com/vllm-project/vllm-omni/issues/2645)
+
+## Hardware Support
+
+This recipe documents reference GPU configuration for Fish Speech S2 Pro.
+Other hardware and configurations are welcome as community validation lands.
+
+## GPU
+
+### 1x A800 80GB
+
+#### Environment
+
+- OS: Linux
+- Python: 3.10+
+- Required package: `fish-speech` (for DAC codec)
+- CUDA 12.8
+- vLLM version: 0.19.0
+- vLLM-Omni version or commit: c93359bb354a6aa5c14d062430cb85b2c4db251e
+
+```bash
+# Install PortAudio dependency if missing (required by pyaudio which is a dependency of fish-speech)
+# For Ubuntu/Debian:
+if ! dpkg -l | grep -q libportaudio2; then
+    sudo apt-get update && sudo apt-get install -y libportaudio2 portaudio19-dev
+fi
+pip install fish-speech
+```
+
+#### Command
+
+```bash
+vllm serve fishaudio/s2-pro --omni --port 8091
+```
+
+Notes:
+
+- `--omni` is required.
+- The default deploy config `vllm_omni/deploy/fish_qwen3_omni.yaml` is loaded
+  automatically by model registry (HF `model_type=fish_qwen3_omni`).
+
+
+#### Verification
+
+Basic TTS:
+
+```bash
+curl -X POST http://localhost:8091/v1/audio/speech \
+    -H "Content-Type: application/json" \
+    -d '{
+        "input": "Hello, how are you?",
+        "voice": "default",
+        "response_format": "wav"
+    }' --output output.wav
+```
+[output.wav](https://github.com/user-attachments/files/27134970/output.wav)
+
+Voice cloning:
+
+```bash
+curl -X POST http://localhost:8091/v1/audio/speech \
+    -H "Content-Type: application/json" \
+    -d '{
+        "input": "Hello, this is a cloned voice.",
+        "voice": "default",
+        "ref_audio": "https://example.com/reference.wav",
+        "ref_text": "Transcript of the reference audio."
+    }' --output cloned.wav
+```
+[reference.wav](https://github.com/user-attachments/files/27134971/reference.wav) <br>
+[cloned.wav](https://github.com/user-attachments/files/27134969/cloned.wav)
+
+
+
+#### Notes
+
+- Key flags: `--omni` is required.
+- Known limitations: Output audio is 44.1 kHz mono WAV. Voice cloning requires
+  both `ref_audio` and `ref_text` parameters.
+- Memory usage: Model loads at ~48.3 GiB, peaks at ~48.9 GiB during inference
+  headroom for video frames and audio caches.