# Nebius

> GPU cloud infrastructure for AI training and inference

Nebius is a cloud platform built for training, fine-tuning, and running AI models. It provides GPU virtual machines and clusters alongside storage, networking, and managed services, allowing teams to develop models and deploy inference workloads without owning the underlying hardware. Developers can start with individual experiments and organize larger jobs using Kubernetes or Slurm-based clusters.

The platform includes object storage for datasets and model artifacts, experiment tracking with managed MLflow, and serverless options for containerized AI workloads. Command-line tools, APIs, SDKs, and Terraform support repeatable infrastructure setup, while metrics and logs help teams observe deployed resources. Teams can choose the compute and service configuration that fits their training or deployment workflow, with usage and availability depending on the selected resources and region.

## Listing details

- Canonical BetaNeon page: https://betaneon.com/products/nebius
- Official website: https://nebius.com/
- Category: Developer tools / Cloud hosting & deployment
- Status: Launched
- Topics: AI, Cloud computing, GPU, Infrastructure, Machine learning
- Listing updated: 2026-10-30T16:52:27.195Z
- Information source: https://nebius.com/

This is a product introduction, not an endorsement. Confirm current availability, features, and prices on the official website. Community upvotes on BetaNeon are not star ratings.