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Nebius AI Cloud documentation

Explore what Nebius AI Cloud has to offer, and learn how to make the most out of its resources and address any potential issues.

This documentation provides a variety of articles to help you with that: instructions and tutorials, conceptual descriptions, references and details on pricing and usage quotas.

Categories

Compute

Virtual machines

Cloud-hosted VMs with NVIDIA GPU support for ML/AI workloads.

GPU clusters

InfiniBand™ networks for high-speed distributed computing.

Soperator clusters

Slurm workload manager clusters for ML/AI experiments.

Kubernetes® clusters

Containerized application deployment with support for GPUs and InfiniBand.

Disks and shared filesystems

Block and file storage for Compute VMs and Managed Kubernetes nodes.

Storage

Object Storage buckets

AWS S3-compatible storage for ML/AI datasets and model artifacts.

PostgreSQL® clusters

Database clusters for ML/AI datasets and application data.

ML tools and applications

MLflow clusters

Managed clusters for experiment tracking and model registry.

Applications

Turnkey applications for ML/AI workflows: JupyterLab®, Soperator, etc.

Observability

Metrics and alerts

Metrics visualization and threshold-based alerting for resources.

Logs

Log collection, search, export and custom ingestion.

Network

Network

Isolated virtual networks, subnets and IP pools for resources.

Management

Signup

Account creation and billing setup for individuals and companies.

Billing

Payment methods, invoices, taxes and discounts.

Audit Logs

User and service activity records for security and compliance.

Identity and Access Management (IAM)

Centralized management of users, service accounts and permissions.

Quotas

Resource limits with workflows to request increases.

Support

Submitting technical support tickets, bug reports and feature requests.

Interfaces

CLI

Managing resources in the command line.

Provider for Terraform

Declarative approach to resource management.

Integrations

Third-party integrations

Tools to run and orchestrate AI workloads on the Nebius AI Cloud infrastructure.

AI Studio

Inference service

Access and run powerful AI models.

AI image generation

Access best-in-class image generation models.

Batch inference

Processing millions of requests asynchronously.

Fine-tuning service

Fine-tune AI models at scale.