NVIDIA · NVIDIA GB200 NVL72 (72x GB200-186GB_aarch64, TensorRT)
Llama-3.1-405B (MLPerf reference) · llama3.1-405b · Interactive · run 01a00b4a-2b51…
valid · Reported evidence
Measurements
output_token_throughput_tps · reported14,010.1 tokens_s
Llama-3.1-405B (MLPerf reference) · llama3.1-405b · Interactive · interactive · 4× NVIDIA GB200 × 18 nodes · mlperf_closed_99 · observed 2026-03-26
Identity
modelLlama-3.1-405B (MLPerf reference)
stackTensorRT 10.14, CUDA 13.1, cuDNN 9.17, TensorRT-LLM feat/1.2-mlpinf, NVIDIA Dynamo mlperf-v6.0-dynamo-v0.8.0, vLLM CentM
workloadllama3.1-405b · Interactive
topology4× NVIDIA GB200 × 18 nodes
harnessmlperf_loadgen v6.0
quality policymlperf_closed_99
comparison keysha256:69a015b19014b520…
sha256:d4900f1c863f31a9ec197b1…
Launch configuration
dtypefp4
notesNVIDIA GB200 NVL72, 1200W TGP Per GPU
systemNVIDIA GB200 NVL72 (72x GB200-186GB_aarch64, TensorRT)
softwareTensorRT 10.14, CUDA 13.1, cuDNN 9.17, TensorRT-LLM feat/1.2-mlpinf, NVIDIA Dynamo mlperf-v6.0-dynamo-v0.8.0, vLLM CentML:mlperf-inf-mm-q3vl-v6.0
availabilityavailable
Workload
namellama3.1-405b · Interactive
streamingyes
load generationopen_loop
Canonical manifest
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{
"kind": "ServingRun",
"spec": {
"status": "valid",
"harness": {
"name": "mlperf_loadgen",
"version": "v6.0"
},
"topology": {
"nodeCount": 18,
"acceleratorModel": "NVIDIA GB200",
"acceleratorVendor": "nvidia",
"acceleratorsPerNode": 4
},
"observedAt": "2026-03-26T19:39:54Z",
"modelDigest": "sha256:bc69ffe83643f1c91a137a177c5ef85829a1f5b65ae51771adb75ef783baf031",
"measurements": [
{
"unit": "tokens_s",
"value": 14010.1,
"metric": "output_token_throughput_tps",
"statistic": "reported"
}
],
"sourceNative": {
"source": "mlperf-inference",
"metrics": {
"performance_units": "Tokens/s",
"performance_result": 14010.1
},
"category": "datacenter",
"division": "closed",
"scenario": "interactive",
"benchmark": "llama3.1-405b",
"externalId": "v6.0/6.0-0075"
},
"qualityPolicy": "mlperf_closed_99",
"workloadDigest": "sha256:aa85eb6ec0edbe527a96991056034f9797660df637dc568bba66e11cab439947",
"configurationDigest": "sha256:65fb87c0e4d4c4a1f32024f738291a53d1e243bac2f704a29cdf7a9d9bd977bc"
},
"metadata": {
"name": "mlperf-v6-0-6-0-0075",
"title": "NVIDIA · llama3.1-405b · Interactive",
"sourceRefs": [
{
"url": "https://github.com/mlcommons/submissions_inference_v6.0/tree/main/closed/NVIDIA/results/GB200-NVL72_GB200-186GB_aarch64x72_TRT"
}
]
},
"apiVersion": "kernelindex.dev/v1alpha1"
}Cite this result (permalink, digest, access date)
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MLPerf Inference · closed/datacenter · entry v6.0/6.0-0075 · shown unmodified as publishedAll serving results →JSON