New MLPerf® Storage v3.0 results are in! Nebius Object Storage fed 768 simulated B200 accelerators on RetinaNet, the highest accelerator count of any submission in this round. Get the full breakdown: #MLPerf# #AI# #ObjectStorage#

Five first-place results in MLPerf® Inference v6.1. 603,023 tokens/sec on DeepSeek R1 at 72 GPUs and preview-category results on the Nebius @nvidia Vera Rubin NVL72. We were one of only two submitters with results on that hardware. Full results: #MLPerf# #MLCommons# #Inference#

Nvidia’s next AI rack just posted its first official MLPerf scores. Vera Rubin NVL72 (preview) vs today’s GB300 rack: • up to 3.7× on Qwen3-VL • up to 2.5× on DeepSeek-R1

🚨 $NBIS just posted five first-place results in the latest MLPerf AI inference benchmarks, including leading full-rack performance on NVIDIA's GB300 NVL72. Nebius was also one of only two companies to submit results on NVIDIA's next-gen Vera Rubin NVL72 platform, already running DeepSeek R1 at 603K tokens/sec across 72 GPUs in the preview category. Another strong validation of $NBIS' infrastructure, technical execution, and close engineering relationship with NVIDIA.