Nebius September digest: Microsoft deal, NVIDIA Exemplar Status & benchmark results
Nebius September digest: Microsoft deal, NVIDIA Exemplar Status & benchmark results
September was a landmark month for Nebius. From a major new customer for our AI infrastructure to industry-leading performance recognition, we’ve made strides that directly strengthen the systems you rely on.
Nebius announces a multi-billion dollar agreement with Microsoft for AI infrastructure
We’re excited to announce a new agreement with Microsoft that accelerates the growth of our AI cloud business into 2026. Starting later this year, Nebius will provide dedicated capacity to Microsoft from our upcoming data center in Vineland, New Jersey.
-
CNBC: Our Co-Founder and Chief Business Officer Roman Chernin spoke on the deal, fundraising, and growing AI infrastructure demand.
-
TBPN: Chief Revenue Officer Marc Boroditsky shared how this strengthens our mission to deliver an ML-centric stack for developers at every stage.
Nebius is one of the first NVIDIA partners to achieve Exemplar Status!
We’re proud to have earned NVIDIA Exemplar Cloud Status for training workloads on NVIDIA H200 GPUs. This designation confirms that Nebius infrastructure provides dependable efficiency, resiliency and scale — not just peak specs. For teams building frontier AI models, this means fewer surprises, more uptime, and infrastructure you can truly count on.
The results are in: bare-metal performance proven in MLPerf® Inference v5.1
Our latest milestone for reliable performance at scale. With the latest submission of MLPerf® Inference v5.1 benchmarks, Nebius achieved leading performance results for three AI systems accelerated by the most in-demand NVIDIA systems on the market: NVIDIA GB200 NVL72, HGX B200 and HGX H200.
Tech docs team says hi
-
Nebius AI Cloud API now has its own documentation.
-
Compute docs keep expanding — new guides cover running containers over VMs, VM configuration parameters and exporting data from volumes. Quota article is updated with the latest quotas for GPU and non-GPU VMs.
-
Container Registry now includes a guide on copying images between registries.
-
Managed MLflow gained a guide on exporting data from clusters.
-
Data protection topics are easier to navigate with new overviews on Data portability and Data Subject Requests.
-
The web console navigation has been refreshed. Documentation grouping is fully aligned with the console’s sections, with updated descriptions of Nebius AI Cloud docs. See the main page for the new structure.
-
And in third-party integrations, you’ll find details on supported software and runtimes.
Explore Nebius Token Factory
See also
In August, we introduced self-service NVIDIA Blackwell GPUs in Nebius AI Cloud and published several in-depth technical articles, including ones on cluster reliability and liquid cooling. We also continued to cover customer success — all this and more in the latest digest.
NVIDIA HGX B200 instances are now publicly available as self-service AI clusters in Nebius AI Cloud. This means anyone can access NVIDIA Blackwell — the latest generation of NVIDIA’s accelerated computing platform — with just a few clicks and a credit card.
Our July’s digest describes how our customers like Stanford and Shopify use flexible compute capacities and the steps we are taking to boost performance. Nebius’ first anniversary also took place in July, marked by Nasdaq in Times Square, and there was news from across the ocean as well.