Added llama3.1-70b Benchmarking recipe on A3-Mega nodes#246
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krishnakanthankam-qt wants to merge 8 commits into
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Added llama3.1-70b Benchmarking recipe on A3-Mega nodes#246krishnakanthankam-qt wants to merge 8 commits into
krishnakanthankam-qt wants to merge 8 commits into
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Thanks for your pull request! It looks like this may be your first contribution to a Google open source project. Before we can look at your pull request, you'll need to sign a Contributor License Agreement (CLA). View this failed invocation of the CLA check for more information. For the most up to date status, view the checks section at the bottom of the pull request. |
depksingh
reviewed
Jun 12, 2026
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| This recipe supports the following models. Running TRTLLM inference benchmarking on these models are only tested and validated on A3-Mega GKE nodes with certain combination of TP, PP, EP, number of GPU chips, input & output sequence length, precision, etc. | ||
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| Example model configuration YAML files included in this repo only show a certain combination of parallelism hyperparameters and configs for benchmarking purposes. Input and output length in `/home/akrishnakanth/gpu-recipes/inference/a3mega/llama3.1-70b/trtllm-gke/values.yaml` need to be adjusted according to the model and its configs. |
depksingh
reviewed
Jun 12, 2026
| rm -rf $engine_dir | ||
| rm -f $dataset_file | ||
| rm -rf $engine_dir || true | ||
| rm -f $dataset_file || true |
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Description
Title
Add Llama 3.1 70B Recipe and Optimized Sequential Benchmarking
Summary
Introduces a high-performance recipe for serving and benchmarking Llama 3.1 70B on A3mega GKE node pools.