Nebius

Nebius

Nebius is a purpose-built AI cloud offering GPU instances, InfiniBand clusters, managed Kubernetes, Slurm, serverless AI and token-based inference for teams training and serving models.

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AI APIArtificial IntelligenceAI AgentSAAS
Last Updated Oct 22, 2026
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About

Nebius is an AI cloud provider that supplies the compute, storage and managed services teams need to train, fine-tune and serve machine learning models. The platform is designed specifically for AI workloads rather than adapted from a general-purpose cloud, covering everything from raw GPU instances to a hosted, token-billed inference API. It addresses the common bottlenecks of AI development: slow cluster provisioning, unpredictable hardware performance, and the operational burden of running training and inference at scale.

The company, Nebius, describes itself as built by people who operate AI infrastructure themselves, with a team of more than 500 AI experts and 24/7 support included by default. Its portfolio spans three products: Nebius AI Cloud (GPU cloud with Kubernetes, Slurm and serverless AI), Nebius Token Factory (an OpenAI-compatible API to open-source models billed per token), and Tavily (web search tooling for agents). Customers named on the site include Revolut, Shopify, RoboForce, Sword Health, Recraft and Photoroom.

Key Features

Non-virtualized GPU instances with InfiniBand: Nebius runs custom hardware where GPUs are not virtualized, paired with InfiniBand networking, which the company reports delivers industry-leading MTBF/MTTR reliability for large training runs.
Fast cluster provisioning: Users can go from zero to GPU clusters in minutes through self-service access, with repeatability built in for recurring experiments.
Managed MLOps tooling: The platform includes managed Kubernetes, Slurm on Kubernetes (Soperator), serverless notebooks, jobs and endpoints, plus storage and networking components.
Nebius Token Factory: An OpenAI-compatible API for serving open-source models, billed per token, with dedicated endpoints, managed post-training and code sandboxes for agents.
Tavily web search for agents: A companion product providing web search, extraction, crawling and cited research designed for LLMs and AI agents.
Elastic consumption options: Teams can scale from small experiments to global-scale environments, combining reserved clusters with on-demand and spot capacity.
Free proof-of-concept support: Nebius offers a free white-glove PoC, enterprise-grade compliance and access to its engineering staff.

Pricing & Fees

  • Pricing: Usage-based. On-demand GPU instances start at $1.80 per GPU-hour (NVIDIA RTX PRO 6000), with HGX H100 at $4.50, HGX H200 at $5.40, HGX B200 at $8.50 and HGX B300 at $9.50 per GPU-hour. Preemptible spot pricing starts as low as $0.74 per GPU-hour on L40S instances.
  • CPU-only and storage options: AMD EPYC Genoa CPU instances from $0.13 per CPU-hour and Intel Ice Lake from $0.06; object storage from $0.010–$0.0147 per GiB/month depending on tier.
  • Free managed services: Managed Kubernetes, Soperator (Slurm on Kubernetes), networking egress/ingress traffic and public IP addresses are free of charge.
  • Commitment discounts: Reserving large-scale clusters for multiple months costs less than on-demand rates, and pricing can combine committed and on-demand consumption.
  • Dynamic spot pricing: Spot prices fluctuate with capacity and demand (as often as every 15 minutes) and are always capped one cent below the on-demand rate.

Who It's For

Nebius targets machine learning engineers, AI infrastructure teams and companies building or scaling models in production. Typical use cases documented on the site include foundation-model training (Shopify, Recraft), large-scale inference for consumer products (Revolut, which handles up to 1.2 million chat tickets per month), physical AI and robotics development (RoboForce), and healthcare AI serving (Sword Health). It suits both startups that need fast access to available GPUs without quota delays and enterprises that require reserved clusters, compliance and hands-on engineering support.

FAQ

What is Nebius?Nebius is an AI-native cloud provider offering GPU compute, InfiniBand clusters, managed Kubernetes and Slurm, serverless AI tooling, and a token-billed inference API for open-source models.

How much does Nebius cost?Pricing is usage-based: on-demand GPU hours range from $1.80 (RTX PRO 6000) to $9.50 (HGX B300), with preemptible spot rates from $0.74 per GPU-hour; managed Kubernetes, Soperator and networking are free.

Which NVIDIA GPUs does Nebius offer?The price list includes GB300 NVL72, HGX B300, GB200 NVL72, HGX B200, HGX H200, HGX H100, RTX PRO 6000 and L40S instances, with CPU-only AMD and Intel instances also available.

Does Nebius support AI agents?Yes. Nebius Token Factory provides an OpenAI-compatible API with code sandboxes for agents, and Tavily adds web search, extraction and crawling capabilities designed for LLM-based agents.

Is there a free trial or proof of concept?Nebius offers a free white-glove proof-of-concept engagement, 24/7 support by default, and free managed Kubernetes and Slurm services, though GPU compute itself is billed.