Nebius is a full-stack AI cloud delivering high-performance NVIDIA H100, H200 and GB200 GPU compute, managed Kubernetes and MLOps tooling for training, fine-tuning and serving large models. Listed on Nasdaq and headquartered in Amsterdam, it operates purpose-built AI data centres in Finland, France and Iceland.
It positions itself as a specialized, AI-native alternative to AWS and Azure, leveraging its European data center footprint to address data sovereignty and compliance concerns that US hyperscalers often struggle to navigate.
While AWS and Azure dominate the general cloud market with vast ecosystems and enterprise lock-in, Nebius differentiates through lower costs (20-25% cheaper), higher efficiency (PUE ~1.1), and unbundled GPU access without proprietary stack restrictions.
The platform combines bare-metal and virtualised GPU instances with a vertically integrated stack: own-designed servers, in-house storage, high-bandwidth InfiniBand fabric and managed services for Slurm, Kubernetes, Soperator, MLflow and vector databases. An API-first control plane lets teams provision multi-thousand-GPU clusters in minutes.
Although focusing on corporate clients the services of Nebius are also available for private persons.
But be aware for ‘regular’ hosting compared to EC2 / S3 (on AWS) it can be a bit more expensive.
Nebius offers two distinct surfaces for AI stacks and use:
1. the Nebius AI Cloud (raw GPU VMs, full infrastructure control)
and
2. Nebius Token Factory (a managed, API-driven fine-tuning and inference service).
For those who have experience with Openrouter (openrouter.ai) it can be compared in the use of different (parallel) AI models, token/context caching
To see how AI can be used with EU data sovereignty and compliance we have setup a series on the topic ‘MLOps – EU compliant in 2026’
It will be focussed on the technical stack implmented by a MLOps Engineer (Devops engineer with Machine Learning stack skills on top).