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Nebius

GPU cloud platform for training and deploying AI models.

Last updated: Aug 9, 2026

About Nebius

Nebius is a cloud platform built specifically for AI workloads, covering the full lifecycle from model training to production inference. Its core offering is large-scale, non-virtualized NVIDIA GPU infrastructure connected with InfiniBand networking, which the company positions as suited to training foundation models and running AI agents at scale. On top of that infrastructure, Nebius offers managed and serverless inference through a service called Token Factory, letting teams run open-source large language models and image models via API without managing the underlying hardware themselves. The platform is aimed at AI developers and enterprises building production AI systems, with named use cases spanning healthcare, media, financial services, robotics, and e-commerce. Nebius reports operational reliability figures for its infrastructure, including a mean time between failures of 56.6 hours across a 3,000-GPU deployment and a 12-minute mean time to resolution, and backs enterprise customers with a team of AI experts, 24/7 support, and proof-of-concept assistance. It holds NVIDIA Reference Platform Cloud Partner status. Nebius B.V. is part of Nebius Group, the renamed successor to Yandex N.V.: in 2024 Yandex N.V. sold its Russian business operations and rebranded its remaining international assets as Nebius Group, later resuming trading on Nasdaq. Pricing is usage-based but not broken out in detail on the public site.

At a glance

Company
Nebius B.V.
Platforms
Web, API
API
Available
Integrations
NVIDIA
Last verified
August 2026
Last updated: August 9, 2026

Who It's For

  • •AI researchers and practitioners.
  • •Startups and enterprises developing AI applications.
  • •Data scientists and machine learning engineers.
  • •Organizations seeking scalable AI infrastructure.

How It Works

  1. 1Provides cloud-based GPU infrastructure optimized for AI training and inference.
  2. 2Offers access to pre-configured open-source models and tools via API.
  3. 3Supports scalable deployment for AI models, enabling efficient training and inference.
  4. 4Integrates with developer tools and marketplaces to facilitate AI project development.

How to Use Nebius

  1. 1Sign up or access Nebius cloud platform.
  2. 2Select or upload AI models and datasets.
  3. 3Use the API or web interface to train, tune, and deploy models.
  4. 4Monitor model performance and scale infrastructure as needed.

Key Features

  • •Large-scale GPU clusters
  • •InfiniBand networking
  • •Managed inference (Token Factory)
  • •Serverless inference
  • •Enterprise support and proof-of-concept services

Use Cases

  • •Training foundation models at scale
  • •Running AI agents in production
  • •Serving open-source LLMs via managed inference
  • •Building AI applications in healthcare, media, financial services, robotics, and e-commerce

Pros & Cons

Advantages

  • •Optimized for AI training and inference with NVIDIA hardware.
  • •Supports a wide range of open-source AI models and tools.
  • •Scalable infrastructure for growing AI needs.
  • •User-friendly API and deployment options.

Disadvantages

  • •Potentially high costs for large-scale GPU usage.
  • •Limited information on specialized features in the search results.
  • •Requires technical expertise to leverage full capabilities.

Alternatives

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Frequently Asked Questions

What is Nebius?

Nebius is a cloud platform built specifically for AI workloads, covering the full lifecycle from model training to production inference. Its core offering is large-scale, non-virtualized NVIDIA GPU infrastructure connected with InfiniBand networking, which the company positions as suited to training foundation models and running AI agents at scale.

How much does Nebius cost?

Nebius uses custom pricing — contact the vendor for a quote.

Is Nebius free?

Nebius is a paid tool and does not offer a free plan.

What are the best Nebius alternatives?

Popular Nebius alternatives include CoreWeave, Lambda, RunPod.

What is Nebius used for?

Nebius is commonly used for Training foundation models at scale, Running AI agents in production, Serving open-source LLMs via managed inference.

Does Nebius have an API?

Yes, Nebius offers an API for developers.

What platforms does Nebius support?

Nebius is available on Web, API.

Information Accuracy

Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.