What is Nebius used for?

Nebius is an AI cloud platform with GPU clusters, managed inference and MLOps tooling, built around non-virtualized GPUs and InfiniBand networking. It is a good fit for training models on dedicated GPU clusters, production inference for AI products and proof-of-concept GPU projects.

How much does Nebius cost?

Nebius is a paid product with no free plan. Usage-based. On-demand HGX H100 is $3.85 and HGX B200 $7.15 per GPU-hour, with higher rates of $4.50 and $8.50 listed from October 1, 2026. Spot GPUs start at $0.79; large clusters are quoted.

Is Nebius open source?

No. Nebius is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Nebius include beta9 and Backend.AI.

What are some alternatives to Nebius?

Nebius competes with CoreWeave, Lambda and Crusoe. For open-source options, see Enlisted's ranked list of open-source Nebius alternatives.

Nebius: features, pricing and alternatives

About Nebius

Nebius is a cloud platform designed for AI development, from small experiments through large-scale training and inference. The company describes its cloud as engineered from silicon to API, meaning it controls both the hardware and the software that sits on top.

The vendor emphasizes quick provisioning of clusters with self-service access, custom hardware that uses non-virtualized GPUs and InfiniBand networking, and built-in MLOps tooling alongside serverless and managed inference. Customer stories reference a Token Factory offering for production inference. Consumption options are flexible, so teams can start small and scale to larger environments.

Nebius is a proprietary commercial service with a public price list, expert support available around the clock, an offer of a free proof of concept and enterprise-grade compliance. It is aimed at AI developers, startups and enterprises that need GPU capacity and support.

Key features

GPU clusters provisioned in minutes
Non-virtualized GPUs with InfiniBand
Built-in MLOps tooling
Serverless and managed inference
Flexible consumption options
24/7 expert support

Good fit for

→Training models on dedicated GPU clusters
→Production inference for AI products
→Proof-of-concept GPU projects

Tags: gpu-cloud; ai-infrastructure; ai-training; ai-inference; mlops; infiniband; cloud; serverless

Nebius: questions and answers

What is Nebius used for?: Nebius is an AI cloud platform with GPU clusters, managed inference and MLOps tooling, built around non-virtualized GPUs and InfiniBand networking. It is a good fit for training models on dedicated GPU clusters, production inference for AI products and proof-of-concept GPU projects.
How much does Nebius cost?: Nebius is a paid product with no free plan. Usage-based. On-demand HGX H100 is $3.85 and HGX B200 $7.15 per GPU-hour, with higher rates of $4.50 and $8.50 listed from October 1, 2026. Spot GPUs start at $0.79; large clusters are quoted.
Is Nebius open source?: No. Nebius is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Nebius include beta9 and Backend.AI.
What are some alternatives to Nebius?: Nebius competes with CoreWeave, Lambda and Crusoe. For open-source options, see Enlisted's ranked list of open-source Nebius alternatives.