- AI Researchers: Scale experiments from single GPUs to superclusters seamlessly.
- ML Engineers: Run training and inference with managed Kubernetes or Slurm.
- Data Scientists: Deploy MLflow and Spark without ops headaches.
- DevOps Teams: Manage infra as code with Terraform and APIs.
- Startups & Enterprises: Get competitive GPU pricing and expert guidance.
How to Use Nebius?
- Sign Up & Choose GPUs: Select H100, H200, or latest via console.
- Launch Clusters: Use Kubernetes or Slurm for multi-node setups.
- Deploy Managed Services: Spin up MLflow, databases instantly.
- Scale and Monitor: Leverage APIs, Terraform for growth.
- NVIDIA Reference Platform: Optimized clusters coordinated with NVIDIA.
- In-House AI R&D: Dogfooded for real ML practitioner needs.
- Sustainable Data Centers: Custom-built for efficiency like ISEG supercomputer.
- Free Expert Support: 24/7 architects for complex multi-node.
- Ready Solutions: Pre-built Terraform recipes and tutorials.
- Scales effortlessly to thousands of GPUs.
- Managed services cut maintenance time.
- Competitive pricing on top NVIDIA hardware.
- Full expert support included free.
- Commitments needed for best pricing.
- Best for those with AI workloads ready.
- Taxes extra on listed rates.
- Enterprise-focused scale may overkill small tests.
Custom
Custom Pricing
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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