Nebius
The ultimate cloud for AI innovators - Built to democratize AI infrastructure and empower builders everywhere.
About Nebius
Nebius is a comprehensive AI-optimized cloud platform designed specifically for AI researchers, developers, and enterprises looking to build, train, and deploy machine learning models at scale. The platform offers flexible architecture that can scale seamlessly from a single GPU to pre-optimized clusters with thousands of NVIDIA GPUs, supporting both training and inference workloads of any size. Built with demanding AI workloads in mind, Nebius integrates the latest NVIDIA GPU accelerators including GB200 NVL72, HGX B200, H200, H100, and L40S with pre-configured drivers, high-performance InfiniBand networking up to 3.2Tbit/s per host, and orchestration through Kubernetes or Slurm for peak efficiency. The platform provides a complete ecosystem for AI development with two main products: AI Cloud for infrastructure and Token Factory for specialized AI services. Nebius operates AI-optimized sustainable data centers, including the #19 most powerful supercomputer in the world (ISEG), located 60 kilometers from Helsinki. The company has achieved NVIDIA Reference Platform Cloud Partner status, demonstrating their expertise in operating large GPU clusters built in coordination with NVIDIA. Their in-house AI R&D team uses the platform themselves, ensuring it meets the real needs of ML practitioners. The platform offers cloud-native experiences with infrastructure-as-code support through Terraform, APIs, and CLI tools, along with an intuitive console interface.
⚖️ Pros & Cons
👍 Pros
- ✓ Latest NVIDIA GPU hardware with optimized performance
- ✓ Scalable from single GPU to thousands in clusters
- ✓ 24/7 expert support and solution architects included
- ✓ NVIDIA Reference Platform Cloud Partner status
- ✓ Competitive pricing with commitment discounts
👎 Cons
- ✗ Requires minimum 3-month commitment for best pricing
- ✗ May be overkill for small-scale AI projects
- ✗ Limited geographic availability of data centers
🎥 Video Reviews (5 videos)
🎯 Who Should Use This Tool
AI researchers, machine learning engineers, data scientists, AI startups, enterprises developing AI applications, academic institutions, and organizations requiring large-scale GPU computing for training and inference workloads
💰 Pricing Information
Pay-per-hour GPU pricing: NVIDIA B200 GPU at $3.00/hour, NVIDIA H200 GPU at $2.30/hour, NVIDIA H100 GPU at $2.00/hour. Improved cost savings available with commitment of hundreds of units for at least 3 months. NVIDIA GB200 NVL72 available for pre-order. All prices exclude applicable taxes including VAT.
📊 Performance Metrics
🔒 Security & Privacy
Enterprise-grade security with data center operations, compliance programs, trust center available, privacy policy and cookie management, corporate policies and legal documentation provided
🔄 Alternatives
AWS EC2 P4 instances
Google Cloud AI Platform
Microsoft Azure AI
Lambda Labs
CoreWeave
⭐ User Reviews (0)
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