docs: add deepseek v3 launch instructions (#2589)

benchmark/deepseek_v3/README.md

+# SGLang v0.4.1 - DeepSeek V3 Support
+
+We're excited to announce [SGLang v0.4.1](https://github.com/sgl-project/sglang/releases/tag/v0.4.1), which now supports [DeepSeek V3](https://huggingface.co/deepseek-ai/DeepSeek-V3-Base) - currently the strongest open-source LLM, even surpassing GPT-4o.
+
+The SGLang and DeepSeek teams worked together to get DeepSeek V3 FP8 running on NVIDIA and AMD GPU **from day one**. We've also supported MLA optimization and DP attention before, making SGLang one of the best open-source LLM engines for running DeepSeek models.
+
+Special thanks to Meituan's Search & Recommend Platform Team and Baseten's Model Performance Team for their support, and DataCrunch for providing GPU resources.
+
+## Hardware Recommendation
+- 8 x NVIDIA H200 GPUs
+
+## Installation & Launch
+
+### Using Docker (Recommended)
+```bash
+docker run --gpus all --shm-size 32g -p 30000:30000 -v ~/.cache/huggingface:/root/.cache/huggingface --ipc=host lmsysorg/sglang:latest \
+    python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3-Base --enable-dp-attention --tp 8 --trust-remote-code --port 30000
+```
+
+### Using pip
+```bash
+# Installation
+pip install "sglang[all]" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer
+
+# Launch
+python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3-Base --enable-dp-attention --tp 8 --trust-remote-code
+```