多GPU负载均衡方案
实现均衡负载的关键措施：
- 硬件匹配：确保所有GPU型号/显存一致
- parameter optimization: Settings
balance_strategy="auto"自动分配计算图 - Monitoring Tools：使用nvidia-smi观察各卡利用率
- 批处理调整：适当增加batch_size提高并行效率
Best Practice Examples::
pipe = WanVideoPipeline.from_pretrained(
config,
parallelism=4,
use_cfg_parallel=True,
balance_strategy="layer_wise"
)
故障排查：
- 如出现某卡满载其他空闲，尝试减小parallelism数值
- 检查CUDA_VISIBLE_DEVICES设置是否正确
- 更新NVIDIA驱动至最新版本
This answer comes from the articleDiffSynth-Engine: Open Source Engine for Low-Existing Deployments of FLUX, Wan 2.1The
May not be reproduced without permission:AI productivity tools " 如何避免DiffSynth-Engine在多GPU环境中的负载不均问题？
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