Nebius AI Cloud 3.5 Introduces Serverless AI to Give Developers Frictionless Compute for Real-World AI

Key Terms

serverless technical

A cloud computing model where a company writes and runs pieces of application code while a cloud provider automatically handles the underlying computers and scaling, so the company doesn’t manage servers themselves. Think of it like ordering meals from a restaurant instead of stocking, cooking and cleaning a kitchen: it can lower upfront costs, speed product launches and scale with demand, but it also shifts control and dependence to the provider—factors investors watch for impacts on costs, growth and risk.

gpu technical

A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.

kubernetes technical

Kubernetes is an open-source system that automates running and managing many pieces of software across groups of computers, like a conductor coordinating musicians so each piece plays at the right time and place. For investors, it matters because companies that use it can deploy updates faster, scale services up or down automatically, and cut infrastructure costs — factors that influence growth, reliability and operating margins.

s3-compatible technical

S3-compatible describes a cloud storage service or product that uses the same programming interface as Amazon S3, so existing applications and tools can store and retrieve files without rewriting code. For investors this matters because it lowers the cost and risk of moving data, reduces dependence on a single vendor, and gives companies more flexibility to shop for cheaper or faster storage — like using a common electrical plug that fits many outlets.

api technical

An API, or Application Programming Interface, is a set of rules that allows different software programs to communicate and work together smoothly, much like a waiter translating your order into the kitchen and then bringing your meal back. For investors, APIs are important because they enable real-time access to financial data, trading systems, and other digital services, making it easier to make informed decisions quickly and efficiently.

• Latest “Aether” platform update enables teams to build, run and scale AI workloads without managing infrastructure
• Addition of NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU and Nebius’s Data Transfer Service simplify real-world AI deployment

AMSTERDAM--(BUSINESS WIRE)-- Nebius today 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.

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.

All the new features that the Aether 3.5 release delivers are available now on the global Nebius AI Cloud infrastructure, with the serverless service available in public preview. NVIDIA RTX PRO 6000 Blackwell Server Edition is available today.

Nebius AI Cloud Aether 3.5 — at a glance

Serverless AI

• Elastic, pay-as-you-go compute accelerated by NVIDIA
• Simplified access to AI workloads without managing infrastructure
• Designed for prototyping, experimentation, and model inference evaluation

NVIDIA RTX PRO 6000 Blackwell Server Edition

• GPU option designed for a range of workloads including AI inference, industrial robotics, physical AI simulations, visual computing, engineering research, and drug discovery
• Enables cost-efficient AI inference and simulation-heavy workloads

Data Transfer Service

• User-friendly tool for data transfer and replication across Nebius regions and S3-compatible object storage services

Managed Soperator

• An updated cluster configuration wizard for Nebius’ fully managed Slurm-on-Kubernetes solution

Platform enhancements

• Updated navigation for the AI/ML application marketplace
• Improved disk encryption, boot image management, and Kubernetes-level observability
• Expanded controls for user administration and role-based permissions
• Public API for exporting billing data in standardized formats

Additional resources

• Blog post from our Product Management team
• Blog post on NVIDIA RTX PRO
• Blog post on our new serverless AI
• Webinar and live Q&A registration

About Nebius

Nebius, the AI cloud company, is building the full-stack platform for developers and companies to take charge of their AI future — from data and model training to production deployment. Founded on deep in-house technological expertise and operating at scale with a rapidly expanding global footprint, Nebius serves startups and enterprises building AI products, agents and services worldwide.

Nebius is listed on Nasdaq (NASDAQ: NBIS) and headquartered in Amsterdam.

For more information please visit www.nebius.com

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Source: Nebius Group N.V.