Running DeepSeek open reasoning models on GKE
Read OriginalThis article provides a step-by-step tutorial for running DeepSeek's R1 open reasoning models, such as the 8B Llama distilled model, on Google Kubernetes Engine (GKE). It covers creating a GKE Autopilot cluster, setting up secrets for Hugging Face, deploying vLLM for model serving, and creating a custom Gradio application to stream responses and handle the model's unique thinking blocks. The guide includes specific YAML configurations and resource recommendations for GPUs like the Nvidia L4 or A100.
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