Argonne A100-SXM-40GB x2 TensorRT-LLM meta-llama/Meta-Llama-3-8B b64
8824.68 tok/s aggregate (batch*(in+out)/latency)
Fields
id
benchmarks/argonne-a100sxm40-tensorrt-llm-llama3-8b-fp16-2x-b64-128io-tpsMetric
tps_aggregate
Value
8,824.68
Unit
tok/s aggregate (batch*(in+out)/latency)
Model
meta-llama/Meta-Llama-3-8B
Methodology
THIRD-PARTY MEASURED (Argonne LLM-Inference-Bench, arXiv:2411.00136, All_results.csv). TensorRT-LLM on NVIDIA A100 SXM 40GB x2, FP16/BF16, 128 in / 128 out, batch 64. Throughput = batch*(in+out)/latency = AGGREGATE across batch. Latency 1.86s.
Measured by
third_party
Reproducible
yes
Thermal state
unknown
notes
Argonne hardware matrix: A100 SXM 40GB x4/node. Framework=TensorRT-LLM.
Notes
Argonne hardware matrix: A100 SXM 40GB x4/node. Framework=TensorRT-LLM.