Nebius
Nebius is an AI cloud platform offering GPU infrastructure, managed services, and Token Factory for training and inference workloads.
Nebius
What is Nebius?
Nebius vs Similar AI Tools
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How to use Nebius?
- 1Create an account or contact sales for access.
- 2Choose AI Cloud or Token Factory based on your workload.
- 3Select the needed GPU, cluster size, and orchestration option.
- 4Deploy via console, API, CLI, or Terraform.
- 5Monitor usage, scale resources, and add managed services as needed.
Nebius Key Features
- NVIDIA GPU infrastructure for training and inference
- Managed Kubernetes and Slurm cluster orchestration
- High-performance InfiniBand networking
- Managed services such as MLflow, PostgreSQL, and Apache Spark
- Infrastructure as code via Terraform, API, and CLI
- 24/7 expert support and solution architects
- Token Factory for AI model access and related services
Nebius Use Cases
- LLM training and fine-tuning
- High-throughput model inference
- AI application deployment
- Research and experimentation on GPU clusters
- MLOps and managed data/ML services
- Agentic search and AI-powered product features
Nebius Pricing & Free Credits
Nebius currently operates on a Custom Pricing model.
Nebius Pros & Cons
Pros
- Strong focus on AI-native infrastructure
- Supports large GPU clusters and multiple orchestration options
- Includes managed services and infrastructure tooling
- Offers expert support for complex deployments
- Suitable for both training and inference workloads
Cons
- Pricing is not presented as simple self-serve tiers
- Best fit is mainly for organizations with AI infrastructure needs
- May be more complex than lightweight AI tool platforms
What is Nebius best for?
- ML teams needing scalable GPU infrastructure
- Companies training or serving large AI models
- Teams that want managed AI cloud services
- Organizations deploying AI workloads with Kubernetes or Slurm
- Research groups running compute-heavy experiments
Nebius FAQ
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