We’re proud to announce that Nebius is one of the first NVIDIA Cloud Partners to achieve NVIDIA Exemplar Status on NVIDIA H200 GPUs for training workloads. This recognition validates that Nebius meets NVIDIA’s rigorous standards for performance, resiliency and scalability — addressing one of the most pressing challenges in AI infrastructure: ensuring consistent workload performance and predictable cost across clouds.

The need for predictable, consistent infrastructureThe need for predictable, consistent infrastructure

Modern AI workloads demand more than just raw GPUs, often pushing infrastructure to its limits.

• Training frontier models requires scaling to thousands of interconnected GPUs.
• Networking bottlenecks can stall gradient exchange and checkpointing.
• Reliability issues can cause disruptions and wasted computing hours.

On one side, hyperscale clouds weren’t built for the AI era — often complex, costly and inconsistent for performance at scale. On the other hand, bare-metal GPU providers may offer raw performance but lack the flexibility and native AI platform tools dev teams need. And for many, managing infrastructure in-house brings high costs and operational overhead that distract from delivering advancing AI outcomes.Teams often spend more time tuning infrastructure than building models.

In some cases, consistent, predictable infrastructure across providers can also be a key requirement. Performance and total cost of ownership (TCO) can vary significantly, making it challenging to predict project timelines and budgets accurately.

Bringing transparency in performance with Exemplar StatusBringing transparency in performance with Exemplar Status

The NVIDIA Exemplar Clouds initiative recognizes participating NVIDIA Cloud Partners that demonstrate real-world workload performance, not just peak specs. This means the issues of inconsistent performance, unreliable scaling and unpredictable TCO are directly addressed with infrastructure optimized to perform under real-world AI workloads.

Working with NVIDIA, Nebius demonstrated more than 97% of the performance benchmark on NVIDIA H200 GPU clusters, tuned our stack to NVIDIA best practices and validated results against NVIDIA’s reference architecture — proving our infrastructure is optimized to within 95% of NVIDIA reference architecture and can sustain training at scale without compromise.

What sets Nebius apartWhat sets Nebius apart

A key differentiator is our vertically-integrated stack. We design and operate our own custom NVIDIA-accelerated servers in energy-efficient data centers, giving us full control over quality assurance, performance tuning and delivery timelines. Every cluster passes a three-stage acceptance process, so customers get predictable, optimized infrastructure for large-scale AI training.

• Deep tuning for NVIDIA H200 GPUs: Optimized networking stack scheduling with the latest NVIDIA Quantum InfiniBand scale-out compute fabric to minimize gradient exchange bottlenecks during multi-node training.
• Quality control: Three-stage acceptance tests — hardware burn-in, NVIDIA reference architecture validation and long-haul stress tests — ensures clusters are production-ready.
• Industry-leading reliability: Achieved 167,000 GPU hours MTBF on a 3,000-GPU cluster, critical for uninterrupted frontier training.
• Platform-wide improvements: Insights from working with NVIDIA during the NVIDIA Exemplar Clouds process led to platform-wide optimizations benefiting every Nebius customer with performance and reliability.
• Developer-first simplicity: True cloud experience designed to enable AI/ML developers to move faster without having to fight infrastructure. From managed Kubernetes and built-in AI orchestration with managed Soperator (Slurm), to built-in observability and an ever-expanding ecosystem of native AI/ML, including API/CPI/IaC options for consumption.
• Accessible support from real humans: Direct access to AI/ML infrastructure specialists across the customer lifecycle. From fast, white-glove PoCs free of charge, to professional services and tiered support with an average response time to respond to incidents of less than ten minutes!
• Flexibility at any stage: From self-service access for up to 32GPU environments, to massive scale of thousands of GPUs, we can meet customer demands and AI requirements of any scale, including combinations of reserved, on-demand and preemptible instances to optimize and control costs.

Get started nowGet started now

For enterprises, AI labs and startups alike, the NVIDIA Exemplar Cloud status is another validation that Nebius can deliver infrastructure you can trust to perform under pressure — so your teams spend less time managing infrastructure and more time advancing their AI projects. Start training on NVIDIA H200 GPUs with Nebius today — and experience infrastructure build for the AI era.