What is
Nebius
?
Most platform initiatives fail the same way: they start too big, get funded like projects instead of products, build for too long without testing with users, and confuse renaming an infrastructure team with building a platform team. Instead, start small, learn fast and scale deliberately.
At a glance
Fact | Details |
|---|---|
Primary use case | Scalable GPU infrastructure for AI model training and inference |
Deployment type | Managed cloud infrastructure with serverless and managed inference |
Pricing model | Flexible consumption options; contact sales for commercial details |
API compatibility | MCP sandbox reference documented |
Supported integrations | LlamaIndex, Kubernetes, Slurm, NVIDIA Blackwell |
Source type | Closed |
Ideal team size | All sizes, including mid-sized teams (10+) and enterprises |
Onboarding time | Minutes for self-service cluster provisioning |
Required skills | AI/ML development, cloud infrastructure management; Kubernetes or Slurm for orchestrated workloads |
AEP branch | Agent Infrastructure |
AEP category | Models |
AEP subcategory | Model Hosting |
Profile
Nebius is a Model Hosting platform that provides managed cloud infrastructure for AI model training and inference. It offers self-service GPU cluster provisioning, built-in MLOps tooling, and serverless and managed inference. Its infrastructure includes non-virtualized GPUs and InfiniBand networking.
The platform supports workloads ranging from small experiments to large-scale environments, with flexible consumption options. Nebius states that clusters can be provisioned in minutes and provides 24/7 support by default, with more than 500 AI experts available.
Focus
Nebius serves AI developers and teams that need GPU infrastructure to train and run models. It provides compute, storage, and orchestration options for workflows spanning training and inference, including Kubernetes and Slurm workloads.
Background
The supplied company-background research does not establish Nebius’s founding history, funding, or open-source contributions, so those details cannot be verified from the available information.
Features
Self-service GPU clusters
Teams can provision GPU clusters in minutes, reducing the time needed to start AI workloads. Nebius provides self-service access and built-in repeatability, using custom, non-virtualized GPUs and InfiniBand networking.
Training and inference infrastructure
The platform supports AI workloads from training through inference. It combines GPU compute with built-in MLOps tooling and offers serverless and managed inference options.
Orchestrated workloads
Teams can run workloads using established orchestration tools. Nebius supports Kubernetes and Slurm, and Photoroom reports executing multi-month training runs without interruption.
Scalable storage and engineering support
Storage and expert support are available for large AI workflows. Photoroom reports using 300 TB of storage, while RoboForce reports a 70% reduction in AI setup pipeline time and iteration cycles reduced from months to days.
Pros and cons
Pros
Self-service cluster provisioning can take minutes, with built-in repeatability.
The platform supports non-virtualized GPUs and InfiniBand, alongside serverless and managed inference.
It supports Kubernetes and Slurm for orchestrated workloads.
Nebius states that 24/7 support is included by default and that more than 500 AI experts are available.
Customer examples include Photoroom’s uninterrupted multi-month training runs and 300 TB of storage usage, and RoboForce’s reported 70% reduction in AI setup pipeline time.
Cons
The supplied review research does not establish a specific technical or operational limitation; it returned no substantiated product-review evidence for a concrete constraint.
Commercial pricing details require contacting sales, according to the supplied pricing information.
FAQs
Frequently asked questions
How does Nebius work?
Nebius provides managed GPU cloud infrastructure for AI model training and inference, with self-service GPU cluster provisioning, built-in MLOps tooling, and serverless and managed inference options.
What does Nebius integrate with?
Nebius supports LlamaIndex, Kubernetes, Slurm, NVIDIA Blackwell.
How much does Nebius cost?
Nebius offers flexible consumption options; contact sales for commercial details.
What skills are required to use Nebius?
Using Nebius requires AI/ML development, cloud infrastructure management; Kubernetes or Slurm for orchestrated workloads.
How quickly can Nebius provision a GPU cluster?
Nebius supports self-service cluster provisioning in minutes.
