SGLang v0.4.1 - DeepSeek V3 Support

We're excited to announce SGLang v0.4.1, which now supports DeepSeek V3 - 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)

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

# 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