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Serverless AI

Infrastructure service

by Nebius Group

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.

Find alternatives to Serverless AI

No price list of its own. docs.nebius.com/serverless/pricing-quotas states verbatim: 'Serverless AI does not have its own quotas and pricing; the service applies the quotas and pricing of Compute.' The service charges per second for compute and storage allocated to endpoints and jobs, and only active endpoints and jobs are billed. Mounted object storage and shared filesystems bill separately at AI Cloud storage rates.

What it does

• Model inference
• Model hosting
• GPU cloud

Sources

Pricing

Official documentation · 6 Sep 2026

'Serverless AI does not have its own quotas and pricing; the service applies the quotas and pricing of Compute.' Endpoints and jobs count toward Compute VM quotas and billing.

Sold within

Official documentation · 6 Sep 2026

Explicitly has no independent quota or price and bills through AI Cloud Compute; reachable only from the Nebius console. No standalone signup or separate checkout exists.

URL

Official documentation · 6 Sep 2026

Title 'Serverless AI on Nebius | Run GPU Workloads On Demand', H1 'Run AI workloads, skip the infrastructure'. Own page under the Products nav; independently re-fetched.

Also from Nebius Group

• Nebius AI Cloud Infrastructure service

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• 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.

• 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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