Nebius unveiled Nebius AI Cloud 3.5, adding significant new capabilities to its full-stack cloud platform that reduce operational friction and enable AI builders to prototype, test, and ship products faster.
The introduction of serverless features gives developers the ability to launch workloads almost instantly, eliminating the need for AI teams to spend significant time configuring infrastructure before they can run experiments, train or serve models in production. Infrastructure configuration and runtime management are handled by the Nebius platform, enabling developers to focus on building applications instead of managing environments.
Alongside serverless capabilities, Nebius is expanding its GPU offering with NVIDIA RTX PRO 6000 Blackwell Server Edition for a range of workloads including AI inference, industrial robotics, physical AI simulations, visual computing, and drug discovery.
Also Read: NetActuate Enables Cloud-Native Infrastructure with Managed Kubernetes at the Edge
Version 3.5 of Nebius AI Cloud “Aether” also introduces Nebius’s Data Transfer Service, which reduces data management overhead for teams working across environments by simplifying data migration and replication between external S3-compatible storage systems and Nebius cloud regions.
Configuration setup for Managed Soperator, Nebius’s fully managed Slurm-on-Kubernetes solution, has also been overhauled to offer more options and granularity when creating a Slurm cluster for self-service users. Managed Kubernetes observability has also been updated to give teams additional cluster-level control.
The AI application marketplace has also been redesigned to help users access faster tools, models and applications required in their workflows.
Other updates in Aether 3.5 include improved user administration and role-based permissions, making it easier for organizations to manage access across teams. New public APIs for billing data streamline the export process for finance and operations teams.
Source: BusinessWire