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gshtras merged 5 commits into from
May 29, 2025
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Added benchmark results and commit hash #556

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b4b7ba9
Added benchmark results and commit hash
Mcirino1 May 24, 2025
63e64b4
Added release notes/changelog
Mcirino1 May 28, 2025
8954b19
Merge branch 'main' into patch-8
Mcirino1 May 28, 2025
4025f19
Update README.md
Mcirino1 May 28, 2025
91a42ff
Merge branch 'main' into patch-8
Mcirino1 May 29, 2025
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84 changes: 43 additions & 41 deletions docs/dev-docker/README.md
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Expand Up @@ -39,14 +39,14 @@ The table below shows performance data where a local inference client is fed req

| Model | Precision | TP Size | Input | Output | Num Prompts | Max Num Seqs | Throughput (tokens/s) |
|-------|-----------|---------|-------|--------|-------------|--------------|-----------------------|
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 3200 | 3200 | 16892.6 |
| | | | 128 | 4096 | 1500 | 1500 | 13916.7 |
| | | | 500 | 2000 | 2000 | 2000 | 13616.1 |
| | | | 2048 | 2048 | 1500 | 1500 | 8491.8 |
| Llama 3.1 405B (amd/Llama-3.1-405B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 1500 | 1500 | 4380.3 |
| | | | 128 | 4096 | 1500 | 1500 | 3404.2 |
| | | | 500 | 2000 | 2000 | 2000 | 3251.3 |
| | | | 2048 | 2048 | 500 | 500 | 2249.3 |
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 3200 | 3200 | 16622.2 |
| | | | 128 | 4096 | 1500 | 1500 | 13779.8 |
| | | | 500 | 2000 | 2000 | 2000 | 13424.9 |
| | | | 2048 | 2048 | 1500 | 1500 | 8356.5 |
| Llama 3.1 405B (amd/Llama-3.1-405B-Instruct-FP8-KV) | FP8 | 8 | 128 | 2048 | 1500 | 1500 | 4243.9 |
| | | | 128 | 4096 | 1500 | 1500 | 3394.4 |
| | | | 500 | 2000 | 2000 | 2000 | 3201.8 |
| | | | 2048 | 2048 | 500 | 500 | 2208.0 |

*TP stands for Tensor Parallelism.*

Expand All @@ -56,38 +56,38 @@ The table below shows latency measurement, which typically involves assessing th

| Model | Precision | TP Size | Batch Size | Input | Output | MI300X Latency (sec) |
|-------|-----------|----------|------------|--------|---------|-------------------|
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 15.591 |
| | | | 2 | 128 | 2048 | 16.865 |
| | | | 4 | 128 | 2048 | 17.295 |
| | | | 8 | 128 | 2048 | 18.939 |
| | | | 16 | 128 | 2048 | 20.891 |
| | | | 32 | 128 | 2048 | 23.402 |
| | | | 64 | 128 | 2048 | 30.633 |
| | | | 128 | 128 | 2048 | 43.898 |
| | | | 1 | 2048 | 2048 | 15.678 |
| | | | 2 | 2048 | 2048 | 16.892 |
| | | | 4 | 2048 | 2048 | 17.781 |
| | | | 8 | 2048 | 2048 | 19.536 |
| | | | 16 | 2048 | 2048 | 22.521 |
| | | | 32 | 2048 | 2048 | 26.729 |
| | | | 64 | 2048 | 2048 | 36.794 |
| | | | 128 | 2048 | 2048 | 56.371 |
| Llama 3.1 405B (amd/Llama-3.1-405B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 45.446 |
| | | | 2 | 128 | 2048 | 46.223 |
| | | | 4 | 128 | 2048 | 47.833 |
| | | | 8 | 128 | 2048 | 52.085 |
| | | | 16 | 128 | 2048 | 54.378 |
| | | | 32 | 128 | 2048 | 63.108 |
| | | | 64 | 128 | 2048 | 81.764 |
| | | | 128 | 128 | 2048 | 109.479 |
| | | | 1 | 2048 | 2048 | 46.001 |
| | | | 2 | 2048 | 2048 | 46.720 |
| | | | 4 | 2048 | 2048 | 49.250 |
| | | | 8 | 2048 | 2048 | 54.495 |
| | | | 16 | 2048 | 2048 | 59.539 |
| | | | 32 | 2048 | 2048 | 73.906 |
| | | | 64 | 2048 | 2048 | 103.847 |
| | | | 128 | 2048 | 2048 | 151.613 |
| Llama 3.1 70B (amd/Llama-3.1-70B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 15.851 |
| | | | 2 | 128 | 2048 | 16.995 |
| | | | 4 | 128 | 2048 | 17.578 |
| | | | 8 | 128 | 2048 | 19.277 |
| | | | 16 | 128 | 2048 | 21.111 |
| | | | 32 | 128 | 2048 | 23.902 |
| | | | 64 | 128 | 2048 | 30.976 |
| | | | 128 | 128 | 2048 | 44.107 |
| | | | 1 | 2048 | 2048 | 15.981 |
| | | | 2 | 2048 | 2048 | 17.322 |
| | | | 4 | 2048 | 2048 | 18.025 |
| | | | 8 | 2048 | 2048 | 20.218 |
| | | | 16 | 2048 | 2048 | 22.690 |
| | | | 32 | 2048 | 2048 | 27.407 |
| | | | 64 | 2048 | 2048 | 37.099 |
| | | | 128 | 2048 | 2048 | 56.659 |
| Llama 3.1 405B (amd/Llama-3.1-405B-Instruct-FP8-KV) | FP8 | 8 | 1 | 128 | 2048 | 45.929 |
| | | | 2 | 128 | 2048 | 46.871 |
| | | | 4 | 128 | 2048 | 48.763 |
| | | | 8 | 128 | 2048 | 51.621 |
| | | | 16 | 128 | 2048 | 54.822 |
| | | | 32 | 128 | 2048 | 63.642 |
| | | | 64 | 128 | 2048 | 82.256 |
| | | | 128 | 128 | 2048 | 110.142 |
| | | | 1 | 2048 | 2048 | 46.489 |
| | | | 2 | 2048 | 2048 | 47.465 |
| | | | 4 | 2048 | 2048 | 49.906 |
| | | | 8 | 2048 | 2048 | 54.252 |
| | | | 16 | 2048 | 2048 | 60.275 |
| | | | 32 | 2048 | 2048 | 74.346 |
| | | | 64 | 2048 | 2048 | 104.508 |
| | | | 128 | 2048 | 2048 | 154.134 |

*TP stands for Tensor Parallelism.*

Expand Down Expand Up @@ -489,7 +489,7 @@ To reproduce the release docker:
```bash
git clone https://github.com/ROCm/vllm.git
cd vllm
git checkout d60b5a337a552b6f74f511462d4ba67ea0ac4402
git checkout 91a56009841e11b84a2aeb9cc5aa305ab2808ede
docker build -f docker/Dockerfile.rocm -t <your_tag> --build-arg USE_CYTHON=1 .
```

Expand All @@ -506,6 +506,8 @@ Use AITER release candidate branch instead:

## Changelog

20250521_aiter:

20250513_aiter:
- Out of memory bug fix
- PyTorch fixes
Expand Down