DeepSeek V3 is a 671B-parameter Mixture-of-Experts language model: Multi-head Latent Attention and DeepseekMoE architecture, pre-trained on 14.8 trillion tokens, tuned with RL for strong reasoning at relatively efficient inference cost. This guide deploys it via SGLang in a ROCm-supported container on an AMD Instinct MI300X GPU server, then verifies inference over HTTP.
Prerequisites: access to an AMD Instinct MI300X GPU instance (large VRAM is required for this model's size).
Deploy DeepSeek V3
1. Install the Hugging Face CLI and start the model download in the background — it's large, so kick it off early and continue with the next steps while it completes:
$ pip install huggingface_hub[cli]
