MLPerf® Inference v6.0: Top-tier AI performance on NVIDIA Blackwell and Blackwell Ultra

Nebius has announced its latest results from the MLPerf Inference v6.0 benchmark, which measures AI inference performance, showcasing their advanced capabilities on NVIDIA's newest Blackwell and Blackwell Ultra GPU platforms. Their submission included systems like the NVIDIA HGX B200, HGX B300, and the GB300 NVL72, which were evaluated using three models: DeepSeek R1, a server and offline inference model; Qwen3-VL 235B, a multimodal model; and gpt-oss 120B, a large open-source language model. Notably, Nebius achieved 10 first-place results out of 16 benchmark submissions, with significant performance demonstrated on the full-rack GB300 NVL72 system utilizing 72 NVIDIA Blackwell Ultra GPUs. The results emphasize Nebius' ability to efficiently support large-scale production deployments of modern AI models, highlighting their continuous optimization of AI infrastructure and collaboration with NVIDIA to maximize hardware potential. The findings illustrate the scalability and performance improvements across successive NVIDIA platforms, reaffirming Nebius' readiness to handle demanding AI workloads and their commitment to enhancing AI cloud platforms for their customers.

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