What we built this quarter: Nebius Cloud Platform

Nebius AI Cloud’s Q3 updates focused on enterprise connectivity, cost management, developer workflow simplification, and platform performance. New infrastructure capabilities include Cloud Interconnect for private high-bandwidth links to on-premises, colocation, or other cloud environments, expanded Data Transfer Service support for the Nebius Shared Filesystem and S3-compatible storage, Kubernetes conformance certification, and planned security integrations such as SIEM audit-log exports and Wiz support. Cost and capacity features include demand-based Spot pricing for Preemptible Virtual Machines, cost allocation labels, monthly usage reports, project limits for reserved capacity, and new object storage tagging and inventory tools. Serverless AI additions allow direct Python execution, file injection for configuration files, reusable Devlab workspaces, and validated templates, reducing container-building and setup requirements. Other developer tools include browser-based Cloud Shell, a REST API with OpenAPI specifications, guidance for coding agents, enhancements to the Echo infrastructure agent, marketplace browsing before sign-in, and Tunnels for exposing local services during testing. The company also cited MLPerf benchmark results and a Platinum ClusterMAX 3.0 rating from SemiAnalysis as indicators of its training, inference, storage, and cluster performance.

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