inference/research
verifiedmedium · 0.75updated 2026-10-15

Argonne A100-SXM-40GB x2 TensorRT-LLM meta-llama/Llama-2-7b-hf b1

265.37 tok/s aggregate (batch*(in+out)/latency)

Fields

id
benchmarks/argonne-a100sxm40-tensorrt-llm-llama2-7b-fp16-2x-b1-128io-tps
Metric
tps_aggregate
Value
265.37
Unit
tok/s aggregate (batch*(in+out)/latency)
Model
meta-llama/Llama-2-7b-hf
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 1. Throughput = batch*(in+out)/latency = AGGREGATE across batch. Latency 0.96s.
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.

Cross-references