Load Balancing Strategies for Heterogeneous Hardware Clusters in JD Advertising Online Model System

This article examines the evolution, theory, and practical implementation of load balancing strategies for JD Advertising's online model system, focusing on heterogeneous hardware clusters, dual‑objective optimization of service availability and resource utilization, and the resulting performance improvements in large‑scale production environments.

heterogeneous clustersload balancingresource utilization

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Load Balancing Strategies for Heterogeneous Hardware Clusters in JD Advertising Online Model System

Baidu Intelligent Cloud Tech Hub

May 31, 2024 · Artificial Intelligence

How Multi‑Chip Heterogeneous Clusters Power Next‑Gen Large Model Training

Using a martial‑arts analogy, the article explains why training massive AI models now requires thousands of GPUs or mixed‑chip clusters, outlines three key steps—inter‑connect, distributed parallel strategies, and accelerator acceleration—and shows how Baidu’s Baige platform achieves near‑full efficiency across GPU, Kunlun and Ascend chips.

AI trainingGPU interconnectaccelerator optimization

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How Multi‑Chip Heterogeneous Clusters Power Next‑Gen Large Model Training