In-House Model Serving Infrastructure for GPU Flexibility
DZone
OCTOBER 7, 2024
As deep learning models evolve, their growing complexity demands high-performance GPUs to ensure efficient inference serving. This article explores the essential components of such infrastructure, focusing on the technical considerations for GPU-agnostic design, container optimization, and workload scheduling.
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