8 × NVIDIA GB300

Tested system

Processor: NVIDIA Grace CPU
Graphics: NVIDIA GB300
Accelerator count: 8
Nodes: 2

Recorded results

Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.

MLPerf Inference / deepseek-r1Offline · v6.1 · Tokens/s

8 × NVIDIA GB300

75,918.20^* Tokens/s

Accuracy target / result: exact_match: 81.13035551504102 TOKENS_PER_SAMPLE: 3843.4847310847767
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 144
Processors per node: 2
Nodes: 2
Total accelerators: 8
Software stack: TensorRT 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-v6.1
Operating system: Ubuntu 24.04

MLPerf Inference / deepseek-r1Server · v6.1 · Tokens/s

8 × NVIDIA GB300

67,578.30^* Tokens/s

Accuracy target / result: exact_match: 80.78851412944394 TOKENS_PER_SAMPLE: 3829.014357338195
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 144
Processors per node: 2
Nodes: 2
Total accelerators: 8
Software stack: TensorRT 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-v6.1
Operating system: Ubuntu 24.04

MLPerf Inference / gpt-oss-120bOffline · v6.1 · Tokens/s

8 × NVIDIA GB300

131,619^* Tokens/s

Accuracy target / result: exact_match: 82.963
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 144
Processors per node: 2
Nodes: 2
Total accelerators: 8
Software stack: TensorRT 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-v6.1
Operating system: Ubuntu 24.04

MLPerf Inference / gpt-oss-120bServer · v6.1 · Tokens/s

8 × NVIDIA GB300

128,173^* Tokens/s

Accuracy target / result: exact_match: 83.020
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 144
Processors per node: 2
Nodes: 2
Total accelerators: 8
Software stack: TensorRT 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-v6.1
Operating system: Ubuntu 24.04

MLPerf Inference / llama2-70b-99.9Offline · v6.1 · Tokens/s

8 × NVIDIA GB300

131,464^* Tokens/s

Accuracy target / result: ROUGE1: 44.8017 ROUGE2: 22.3794 ROUGEL: 29.1616 TOKENS_PER_SAMPLE: 272.6
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 144
Processors per node: 2
Nodes: 2
Total accelerators: 8
Software stack: TensorRT 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-v6.1
Operating system: Ubuntu 24.04

MLPerf Inference / llama2-70b-99.9Server · v6.1 · Tokens/s

8 × NVIDIA GB300

127,911^* Tokens/s

Accuracy target / result: ROUGE1: 44.8324 ROUGE2: 22.3953 ROUGEL: 29.1865 TOKENS_PER_SAMPLE: 272.1
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 144
Processors per node: 2
Nodes: 2
Total accelerators: 8
Software stack: TensorRT 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-v6.1
Operating system: Ubuntu 24.04

Processing & platform

Processor: NVIDIA Grace CPU
Graphics: NVIDIA GB300

Connectivity & software

Operating system: Ubuntu 24.04

System configuration

Reported host core count: 144
Processors per node: 2
Accelerator count: 8
Nodes: 2
Software stack: TensorRT 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-v6.1
Submission division: closed

* Provisional data