8 × NVIDIA B300-SXM-270GB

Tested system

Processor: Intel(R) Xeon(R) 6979P
Graphics: NVIDIA B300-SXM-270GB
Accelerator count: 8
Nodes: 1

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 B300-SXM-270GB

72,445.10^* Tokens/s

Accuracy target / result: exact_match: 81.24430264357338 TOKENS_PER_SAMPLE: 3793.010711030082
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 56
Processors per node: 2
Nodes: 1
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 B300-SXM-270GB

70,495.70^* Tokens/s

Accuracy target / result: exact_match: 81.26709206927985 TOKENS_PER_SAMPLE: 3788.4774384685506
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 56
Processors per node: 2
Nodes: 1
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 B300-SXM-270GB

111,625^* Tokens/s

Accuracy target / result: exact_match: 83.316
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 56
Processors per node: 2
Nodes: 1
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 B300-SXM-270GB

111,218^* Tokens/s

Accuracy target / result: exact_match: 83.071
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 56
Processors per node: 2
Nodes: 1
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 B300-SXM-270GB

115,034^* Tokens/s

Accuracy target / result: ROUGE1: 44.803 ROUGE2: 22.3802 ROUGEL: 29.1563 TOKENS_PER_SAMPLE: 272.6
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 56
Processors per node: 2
Nodes: 1
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 B300-SXM-270GB

114,832^* Tokens/s

Accuracy target / result: ROUGE1: 44.8381 ROUGE2: 22.394 ROUGEL: 29.1852 TOKENS_PER_SAMPLE: 272.5
Weight precision: fp4
Division: closed
System type: datacenter
Availability: available
Cores per processor: 56
Processors per node: 2
Nodes: 1
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: Intel(R) Xeon(R) 6979P
Graphics: NVIDIA B300-SXM-270GB

Connectivity & software

Operating system: Ubuntu 24.04

System configuration

Reported host core count: 56
Processors per node: 2
Accelerator count: 8
Nodes: 1
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