Update README.md

include sglang support

README.md

@@ -62,6 +62,7 @@ Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated sys
 ## Software Integration:
 **Supported Runtime Engine(s):** <br>
 * **vLLM** <br>
+* **SGLang** <br>
 
 **Supported Hardware Microarchitecture Compatibility:** <br>
 * NVIDIA Blackwell <br>
@@ -128,6 +129,26 @@ vllm serve nvidia/Qwen3.8-27B-NVFP4 \
     --enable-chunked-prefill
 ```
 
+To serve this checkpoint with [SGLang](https://github.com/sgl-project/sglang), you can start the docker `lmsysorg/sglang:dev` and run the sample command below:
+
+```sh
+sglang serve \
+  --trust-remote-code \
+  --model-path nvidia/Qwen3.8-27B-NVFP4 \
+  --kv-cache-dtype fp8_e4m3 \
+  --mem-fraction-static 0.85 \
+  --chunked-prefill-size 2048 \
+  --reasoning-parser qwen3 \
+  --tool-call-parser qwen3_coder \
+  --mamba-full-memory-ratio 4.59 \
+  --host 0.0.0.0 \
+  --port 30000 \
+  --mamba-radix-cache-strategy extra_buffer \
+  --mamba-ssm-dtype float32
+```
+
+For more details please refer to [SGLang cookbook](https://docs.sglang.io/cookbook/autoregressive/Qwen/Qwen3.8-27B).
+
 ## Evaluation
 The accuracy benchmark results are presented in the table below:
 <table>