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Nebius AI Cloud

Infrastructure service

by Nebius Group

Rented GPU clusters with storage and networking for training and serving models, billed by the GPU-hour.

Find alternatives to Nebius AI Cloud

Per GPU-hour, on-demand or cheaper preemptible, with reservation discounts. No free tier, and the published minimum first payment is $25 — which is why no monthly price floor is recorded: a one-time minimum is not a monthly one.

What it does

• GPU cloud
• Model training
• Model inference

How it compares

• CoreWeave AI Cloud

  For our core AI infrastructure business, our key competitors are specialized cloud service providers focused on AI, including CoreWeave, Crusoe and Lambda.

  Regulatory filing · 18 Sep 2026
• Lambda Cloud

  For our core AI infrastructure business, our key competitors are specialized cloud service providers focused on AI, including CoreWeave, Crusoe and Lambda.

  Regulatory filing · 18 Sep 2026
• AWS Trainium

  We also compete with general purpose cloud computing providers including Amazon (AWS), Google (Google Cloud Platform), Microsoft (Azure), and Oracle.

  Regulatory filing · 18 Sep 2026
• OCI Compute for GPUs

  We also compete with general purpose cloud computing providers including Amazon (AWS), Google (Google Cloud Platform), Microsoft (Azure), and Oracle.

  Regulatory filing · 18 Sep 2026

Sources

Pricing

Pricing page · 26 Aug 2026

Sold within

Pricing page · 6 Sep 2026

Top-level purchasable offering with its own self-service price list; no larger Nebius offering stands between the buyer and it.

Also from Nebius Group

• Nebius Token Factory Model API

  Managed inference endpoint serving open-weight models on Nebius hardware, billed per token.

• Managed Soperator Infrastructure service

  Nebius-managed Kubernetes operator that runs Slurm clusters on GPU infrastructure for fault-tolerant large-scale AI training, with topology-aware scheduling and automatic node health checks and recovery.

• Serverless AI Infrastructure service

  Nebius AI Cloud's on-demand GPU runtime that runs containerised AI workloads as Jobs and hosts custom models behind HTTP Endpoints without provisioning or managing clusters.

• Managed Service for MLflow Developer tool

  Fully managed MLflow deployment on Nebius AI Cloud for tracking experiments, metrics and artifacts across the machine-learning lifecycle without maintaining tracking-server infrastructure.

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