SyncAI.news, a Varaisys broadcasting
Restore LLM Inference Capacity in Seconds with Shadow Engine Recovery in NVIDIA Dynamo
MH

Michelle Horton

· 1 min read

EngineeringNVIDIA Technical Blog

Restore LLM Inference Capacity in Seconds with Shadow Engine Recovery in NVIDIA Dynamo

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels,...

When an LLM engine process fails, the standard recovery path involves a cold restart. This requires loading weights into HBM from storage, compiling kernels, and capturing NVIDIA CUDA graphs. For large models, initialization can take several minutes, during which surviving workers must absorb the displaced traffic. Shadow engine recovery, available as a preview feature in NVIDIA Dynamo…

Source

Original source

This story was published by NVIDIA Technical Blog and written by Michelle Horton. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on developer.nvidia.com

Similar News