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Add the setting --gpu-memory-utilization 0.85 for Data Parallelism + Tensor Parallelism(Serving on 8xH20). In case no this setting, following error will occur when deploy with Data Parallelism + Tensor Parallelism on 8 * H20 96G node: (EngineCore_2 pid=28306) ERROR 08-06 14:37:29 [core.py:683] raise RuntimeError( (EngineCore_2 pid=28306) ERROR 08-06 14:37:29 [core.py:683] RuntimeError: CUDA out of memory occurred when warming up sampler with 1024 dummy requests. Please try lowering `max_num_seqs` or `gpu_memory_utilization` when initializing the engine.
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Add the setting --gpu-memory-utilization 0.85 for Data Parallelism + Tensor Parallelism(Serving on 8xH20). In case no this setting, following error will occur when deploy with Data Parallelism + Tensor Parallelism on 8 * H20 96G node:
(EngineCore_2 pid=28306) ERROR 08-06 14:37:29 [core.py:683] raise RuntimeError(
(EngineCore_2 pid=28306) ERROR 08-06 14:37:29 [core.py:683] RuntimeError: CUDA out of memory occurred when warming up sampler with 1024 dummy requests. Please try lowering
max_num_seqsorgpu_memory_utilizationwhen initializing the engine.