AI Models

Nebius

Nebius is an AI cloud platform offering GPU infrastructure, managed services, and Token Factory for training and inference workloads.

Nebius

AI cloud infrastructure for training and inference at scale

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What is Nebius?

Nebius is a cloud platform focused on AI infrastructure and deployment. It provides GPU clusters, networking, managed Kubernetes and Slurm-based environments, storage, and supporting services for training, fine-tuning, and inference. It also offers Token Factory for model access and related AI services.

How to use Nebius?

  1. 1Create an account or contact sales for access.
  2. 2Choose AI Cloud or Token Factory based on your workload.
  3. 3Select the needed GPU, cluster size, and orchestration option.
  4. 4Deploy via console, API, CLI, or Terraform.
  5. 5Monitor usage, scale resources, and add managed services as needed.

Nebius Key Features

  • NVIDIA GPU infrastructure for training and inference
  • Managed Kubernetes and Slurm cluster orchestration
  • High-performance InfiniBand networking
  • Managed services such as MLflow, PostgreSQL, and Apache Spark
  • Infrastructure as code via Terraform, API, and CLI
  • 24/7 expert support and solution architects
  • Token Factory for AI model access and related services

Nebius Use Cases

  • LLM training and fine-tuning
  • High-throughput model inference
  • AI application deployment
  • Research and experimentation on GPU clusters
  • MLOps and managed data/ML services
  • Agentic search and AI-powered product features

Nebius Pricing & Free Credits

Nebius currently operates on a Custom Pricing model.

AI Cloud pricing

Contact for pricing

Pricing for GPU infrastructure, clusters, and related cloud services is available via the pricing page and personalized sales offers.

Token Factory pricing

Contact for pricing

Token Factory pricing is listed separately and may vary by organization and usage.

Nebius Pros & Cons

Pros

  • Strong focus on AI-native infrastructure
  • Supports large GPU clusters and multiple orchestration options
  • Includes managed services and infrastructure tooling
  • Offers expert support for complex deployments
  • Suitable for both training and inference workloads

Cons

  • Pricing is not presented as simple self-serve tiers
  • Best fit is mainly for organizations with AI infrastructure needs
  • May be more complex than lightweight AI tool platforms

What is Nebius best for?

  • ML teams needing scalable GPU infrastructure
  • Companies training or serving large AI models
  • Teams that want managed AI cloud services
  • Organizations deploying AI workloads with Kubernetes or Slurm
  • Research groups running compute-heavy experiments

Nebius FAQ

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