~/talk

New Pattern for Sailing Multi-host LLM Inference

name:Kante Yin
github:kerthcet
slides:none on file

Describes LeaderWorkerSet (LWS), a Kubernetes project for multi-host model-parallel LLM inference that targets cases where large models (e.g., Llama 3.1-405B, DeepSeek R1) cannot fit on a single node. Covers LWS features — dual Pod templates, fine-grained rolling updates, topology management, and all-or-nothing failure handling — and demonstrates integrations with inference engines like vLLM and SGLang plus adopter experiences from NVIDIA and Google.

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