# NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

DevFeed: [NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut](<https://devfeed.tech/articles/nvidia-vera-rubin-nvl72-delivers-leading-performance-in-mlperf-inference-v6-1-debut-31524.md>)

Original publisher: [Read original article](<https://blogs.nvidia.com/blog/vera-rubin-nvl72-mlperf-inference/>)

Author: Zhihan Jiang

Published: 2026-09-16T15:00:48Z

Content type: article

Language: en

Sources: [NVIDIA Blog](<https://devfeed.tech/sources/nvidia-blog.md>)

Topics: [NVIDIA Vera Rubin](<https://devfeed.tech/topics/nvidia-vera-rubin.md>), [Vera Rubin NVL72](<https://devfeed.tech/topics/vera-rubin-nvl72.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Dynamo](<https://devfeed.tech/topics/dynamo.md>), [vllm](<https://devfeed.tech/topics/vllm.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [TensorRT-LLM](<https://devfeed.tech/topics/tensorrt-llm.md>)

Tags: [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [dynamo](<https://devfeed.tech/tags/dynamo.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [inference](<https://devfeed.tech/tags/inference.md>), [mlperf](<https://devfeed.tech/tags/mlperf.md>), [networking](<https://devfeed.tech/tags/networking.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-vera-rubin](<https://devfeed.tech/tags/nvidia-vera-rubin.md>), [nvl72](<https://devfeed.tech/tags/nvl72.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [software](<https://devfeed.tech/tags/software.md>), [tensorrt](<https://devfeed.tech/tags/tensorrt.md>), [tensorrt-llm](<https://devfeed.tech/tags/tensorrt-llm.md>), [vera-rubin-nvl72](<https://devfeed.tech/tags/vera-rubin-nvl72.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

## AI overview

NVIDIA reports MLPerf Inference v6.1 preview results for Vera Rubin NVL72 and GB300 NVL72 systems. Vera Rubin NVL72 delivered up to 3.7x higher throughput than GB300 NVL72 on Qwen3-VL and up to 2.5x higher throughput on DeepSeek-R1, while a four-rack GB300 NVL72 submission achieved 99% scaling efficiency. The results used vLLM, NVIDIA Dynamo, and TensorRT-LLM.

## Source excerpt

System performance, efficient infrastructure scaling and continuous software optimization are key levers that determine AI inference economics. Higher system performance means more tokens generated, resulting in higher revenue. Efficient scaling means throughput grows proportionally as hardware gets added, requiring fewer resources to serve users at scale. Continuous optimization means generating more value from infrastructure investments. [...]