K. Yan
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| title | conference | date |
|---|---|---|
| Beyond Model Sharding: Atomic Scheduling and Disaggregated LLM Serving With ... | KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026 | 2026-09-07 |
LLM serving on Kubernetes is moving beyond model sharding. In production, one inference replica may be a coordinated group of pods across nodes, GPUs, and… | ||
| From Model Serving To Distributed Inference: How Llm-d Evolves AI Platforms on… | KubeCon + CloudNativeCon Japan 2026 | 2026-07-29 |
Platform teams get a concrete reference architecture: KAITO performs GPU node auto-provisioning, model onboarding, OpenAI‑compatible endpoints and autoscaling… | ||
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