Public cloud for AI workloads
Understanding that the boost of AI solutions creates high demand on computing power, we are here to support you with the variety of GPUs and cost-effective payment models.
Ready for intensive ML workloads
Accesss to the latest NVIDIA® GPUs, including H100 models with their unprecedented performance. Multihost training with the latest InfiniBand network.
Efficient budgeting
Spend 50% less on compute compared to the major public clouds. On-demand and committed payment modes are available. Free trial for new customers.
Training-ready environment
Managed Kubernetes for multi-node training, Marketplace with ML-focused applications and tools. Easy-to-use console to manage resources.
Four development hubs
Nebius is a modern technology venture headquartered in the Netherlands, with engineering hubs in Finland, Serbia and Israel.
500+ professionals
Our mature team of engineers has a proven track of record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware.
Valuable partnership
Proud to be NVIDIA® preferred cloud service provider, we grant access to the best-in-class hardware for high-performance computing.
For teams who have extended ML workloads
For teams who have extended ML workloads
Our platform is ready for training data-intensive ML models. Choose reserve consumption mode for:
- getting access to several hosts
- large-scale model pre-training
- acceleration of training with InfiniBand
GPUs recommended:
- NVIDIA® H100 SXM5
For teams who need flexibility in resources
For teams who need flexibility in resources
We provide GPUs with pay-as-you-go consumption mode that is perfect for:
- small-scale experiments
- budget-conscious projects
- flexibility in expanding your compute resources
GPUs recommended:
- NVIDIA® Tesla® T4
- NVIDIA® A100 SXM4
Own data center in Finland
Located in Finland, our data center features modern systems in every aspect of compute and data storage. The facility guarantees high-level electrical efficiency and has a modern free-cooling system.
HPC-ready, in-house server design
Our R&D team designs and assembles servers and racks in-house for high-performance computing and ML-specific workloads.
Hyperscaler-grade solutions
The racks are also optimized for free cooling — the absence of front and rear doors allows servers to operate within an inlet temperature range of +15°C to +40°C.