Nebius achieves NVIDIA Exemplar Status on NVIDIA H200 GPUs for training workloads

Nebius has achieved NVIDIA Exemplar Status as one of the first NVIDIA Cloud Partners on NVIDIA H200 GPUs for training workloads, demonstrating its capability to meet NVIDIA's high standards for performance, resilience, and scalability in AI infrastructure. This recognition addresses the challenges of ensuring consistent workload performance and predictable costs across clouds, which are critical for modern AI workloads that require scaling to thousands of interconnected GPUs. Unlike hyperscale clouds, which can be costly and inconsistent, or bare-metal GPU providers, which lack flexibility, Nebius offers a vertically-integrated stack with custom NVIDIA-accelerated servers in energy-efficient data centers, providing full control over quality assurance and performance tuning. Nebius' infrastructure demonstrated over 97% of the performance benchmark on NVIDIA H200 GPU clusters, optimized networking stack scheduling, and achieved high reliability with 167,000 GPU hours MTBF on a 3,000-GPU cluster. The company supports a true cloud experience for AI/ML developers, offering managed Kubernetes, built-in AI orchestration, and native AI/ML ecosystem options, along with responsive human support and flexible scaling capabilities to meet various customer demands. This status assures enterprises, AI labs, and startups that Nebius can provide reliable infrastructure for advancing AI projects.

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