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⚡ Eliminating Adaptation Latency: Day-0 Inference for New Models on Multi-Backends With...

name:X. Wang
links:none on file
slides:none on file

Explains how vLLM enables Day‑0 inference for new models on heterogeneous hardware (specifically Ascend NPUs) by using a pluggable, out‑of‑tree architecture to avoid blocking mainline development, Custom OP mechanisms for non‑invasive operator extensions, and main2main synchronization plus CI tooling to keep Ascend backends aligned with vLLM releases. Focuses on reducing per‑model porting time from weeks to hours through modular design and reproducible integration practices.

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