Nebius demonstrates industry-leading AI training performance in latest MLPerf® results

Nebius has announced its first submission of MLPerf® Training v5.0 results, achieving notable performance in training the Llama 3.1 405B model using NVIDIA Hopper GPU clusters interconnected with NVIDIA Quantum-2 InfiniBand networking. This submission underscores Nebius's ability to deliver scalable and predictable training performance, with the benchmarks serving as a reliable measure of AI cloud infrastructure efficiency. The MLPerf® benchmarks provide a standardized framework developed by industry and academic experts to evaluate AI model performance in realistic scenarios, aiding potential customers in making informed decisions. Nebius's achievement, particularly on large clusters with 512 and 1,024 GPUs, highlights near-linear scaling capabilities and cost-effectiveness in distributed model training. The company emphasizes its commitment to continuous improvement and optimization of AI cloud infrastructure, leveraging proprietary software and hardware configurations to maintain high performance and reliability. As an NVIDIA Cloud Partner, Nebius aligns with the latest NVIDIA technologies to enhance its product offerings, ensuring robust GPU utilization and operational simplicity.

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