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InferenceNebius Group

Nebius

Full-stack AI cloud for training and inference at scale.

Categories
InferenceInfra
Pricing
PAID
Source
Proprietary
Hosting
Cloud
Platforms
WebAPI
Models
Model-agnostic
Verified
Jun 11, 2026

AI-native cloud built around large NVIDIA GPU clusters — bare-metal and virtualized H100 through Blackwell hardware with InfiniBand networking, managed Slurm and Kubernetes, high-speed storage, and MLOps tooling. Its Token Factory layer adds managed per-token inference for open-weight models. Microsoft signed a five-year capacity deal with Nebius worth up to $19.4B.

Capabilities 4

What it actually does — grouped by capability family.

  • GPU compute (primary capability)
  • Model inference / serving (primary capability)
  • Fine-tuning / training (secondary capability)
  • Multi-model access (secondary capability)

Pros & cons

  • Latest NVIDIA silicon, H100 through Blackwell
  • Managed Slurm and Kubernetes built in
  • Token Factory per-token inference layer
  • Nasdaq-listed, with Microsoft and Meta deals
  • AI-only cloud — few general-purpose services
  • Younger ecosystem than the big general clouds

Tags

Further reading

Alternatives to Nebius (4)

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    The AI hyperscaler — GPU cloud built for large-scale training and inference.

    CoreWeave is a purpose-built AI cloud renting large-scale NVIDIA GPU capacity for training and inference, layered with managed Kubernetes, AI object storage, and Mission Control observability. Public on Nasdaq since March 2025, it counts most leading AI labs — including OpenAI, Meta, and Anthropic — among its customers, with a contracted revenue backlog reported near $100B in 2026.

    Frontier-scale GPU capacity
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    • gpu-cloud
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    • +1
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    Lambda

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    GPU cloud for AI training — on-demand GPUs, 1-Click Clusters, and superclusters.

    Lambda is a GPU cloud for AI training and inference, spanning on-demand HGX B200 and H100 instances, self-serve 1-Click Clusters, and single-tenant superclusters built on NVIDIA's latest generations. A GPU specialist since 2012, it sells compute by the hour without long-term hyperscaler contracts and co-engineers large deployments with NVIDIA.

    Single GPUs up to superclusters
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    • gpu-cloud
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    • nvidia
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    Crusoe

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    Energy-first AI cloud and gigawatt-scale AI data centers.

    Vertically integrated AI infrastructure company: Crusoe Cloud offers NVIDIA and AMD GPU clusters with managed Kubernetes and managed inference, while its data-center arm develops and powers gigawatt-scale 'AI factories' — including OpenAI's 1.2 GW Stargate campus in Abilene, Texas, which Crusoe built and co-owns.

    Owns power generation and data centers end to end
    Pricing is sales-led rather than self-serve
    • gpu-cloud
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  • View Runpod details
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    Runpod

    Runpod

    GPU cloud for AI — on-demand instances and serverless inference.

    Runpod is an AI developer cloud for renting GPUs on demand or running auto-scaling serverless inference endpoints. Serverless workers bill by the millisecond, scale to zero when idle, and advertise sub-200ms cold starts; on-demand Pods and multi-node Clusters cover training and long-running jobs. A Community Cloud tier offers cheaper, peer-sourced GPUs alongside the vendor-operated Secure Cloud.

    Serverless auto-scaling inference
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    • gpu-cloud
    • serverless
    • inference
    • deployment
    • +1
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Open Nebius