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@Ethan-ES Ethan-ES commented Jan 25, 2026

Overview:

To ensure the generator can be used across different environments, we introduced a benchmark mode(running with --generator-set rule=benchmark) on top of the existing generator. In benchmark mode, the deployment configuration is generated strictly based on the simulation results produced by the aiconfigurator sdk, helping developers align performance more accurately.

By default, the generator runs in production mode, which makes trade-offs tailored for general production deployments, such as increasing batch size and reducing the CUDA Graph batch size.

In addition to these two modes, users can define their own rules by adding new folders under rule_plugin. When invoking the CLI, different rule sets can be selected via the corresponding --generator-set rule=<folder_name> option.

Signed-off-by: etshen <etshen@nvidia.com>
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copy-pr-bot bot commented Jan 25, 2026

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@github-actions github-actions bot added the feat label Jan 25, 2026
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Do we want to include cuda_graph_batch_sizes to vllm.rule as well?

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Thanks for the review, I've added the cuda_graph_batch_sizes to vllm.rule on line 8 to stay consistent with trtllm and sglang. Please let me know if this is not appropriate.

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3 participants