Skip to main content
Most ML/AI workloads involve large files, such as datasets and artifacts of trained models. To store, access and share them efficiently, you can use Object Storage, a simple storage service offered by Nebius AI Cloud. The service is available in all Nebius AI Cloud regions.

Getting started

Create your first bucket and upload files

Buckets and objects

Learn about the main service resources

Creating and modifying buckets

Learn how to manage buckets and their parameters

Uploading and downloading objects

Explore how to upload files to buckets and download them

Managing objects in buckets

Learn how to list, rename and delete objects

Roles and available actions

Learn about the actions available to different roles

Performance and cost-efficiency best practices

Discover how to optimize operations on your buckets and objects

AWS CLI command reference

Learn how to set up and use the AWS CLI

Monitoring buckets

Control resource usage and monitor your buckets health

Bucket and object logs

Set up and view control plane and data plane logs from your buckets