update benchmarking guide with latest results with vllm v1 #559
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Hi @kaushikmitr. Thanks for your PR. I'm waiting for a kubernetes-sigs member to verify that this patch is reasonable to test. If it is, they should reply with Once the patch is verified, the new status will be reflected by the I understand the commands that are listed here. Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. |
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@danehans fyi |
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Can you add the vllm deployment yaml used in this benchmark as well? And also the output json files as an example people should expect from the benchmark |
| @@ -93,6 +93,6 @@ This guide shows how to run the jupyter notebook using vscode. | |||
| ``` | |||
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| 1. Open the notebook `./tools/benchmark/benchmark.ipynb`, and run each cell. At the end you should | |||
| see a bar chart like below: | |||
| see a bar chart like below where **"ie"** represents inference extension. This chart is generated using this benchmarking tool with 10 vLLM (v1) model servers (H100 80 GB) and the ShareGPT dataset. | |||
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"inference extension" is the name of the project and not a specific extension. I assume the test was conducted with the Endpoint Selector Extension (ESE)? If so, s/represents inference extension/represents the endpoint selector inference extension/
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yes that is correct
| @@ -93,6 +93,6 @@ This guide shows how to run the jupyter notebook using vscode. | |||
| ``` | |||
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| 1. Open the notebook `./tools/benchmark/benchmark.ipynb`, and run each cell. At the end you should | |||
| see a bar chart like below: | |||
| see a bar chart like below where **"ie"** represents inference extension. This chart is generated using this benchmarking tool with 10 vLLM (v1) model servers (H100 80 GB), llama2-7b and the ShareGPT dataset. | |||
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Link to the source of the share GPT dataset.
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Link to the reference page https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered
EDIT: nm, I thought this was a file download page, not the HF details page. Link is fine.
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Also, discuss why we chose the cleaned one vs the raw since it's not obvious to a casual glance, and if we use "ShareGPT" as a shortcut description that is not entirely accurate.
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@kaushikmitr pls address this
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I linked to ShareGPT, frankly speaking I used the cleaned one since we have been using that for other benchmarking like https://github.com/GoogleCloudPlatform/ai-on-gke/blob/main/benchmarks/benchmark/tools/profile-generator/container/Dockerfile I have also seen the cleaned version being used in vllm benchmarking suite (https://github.com/vllm-project/vllm/tree/main/benchmarks). I can update the text accordingly
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/lgtm |
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: ahg-g, kaushikmitr The full list of commands accepted by this bot can be found here. The pull request process is described here
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