High-performance compute, cloud simplicity
Run and scale AI workloads on an IaaS platform that gives you flexibility and supercomputer performance for every stage of your AI pipeline.
Bare-metal level performance
Receive maximum GPU utilization from your clusters. Our virtual instances don’t virtualize GPUs and network interfaces, delivering performance on par with the best industry benchmarks.
Cloud flexibility
Spin up a single VM or scale to a multi-node cluster with the simplicity you are used to. Launch on-demand and preemptible VMs, scale clusters up or down, or replace a spare node, all in a cloud-first way.
NVIDIA Exemplar Cloud Partner
Launch AI workloads at scale with confidence. Nebius compute is built and validated according to NVIDIA reference architecture, optimized for delivering stable performance for the most demanding workloads.
Accelerated compute, powered by NVIDIA
From single-node instances to thousand-GPU clusters with optimized non-blocking NVIDIA Quantum-2 InfiniBand fabric — Nebius provides accelerated compute to meet the demands of every AI workload.
NVIDIA GB300 NVL72
The NVIDIA GB300 NVL72 is a fully liquid-cooled, rack-scale system with 72 NVIDIA Blackwell Ultra GPUs and 36 NVIDIA Grace™ CPUs, purpose-built for frontier model training, AI reasoning, and agentic AI at the highest scale.
NVIDIA HGX B300
The NVIDIA HGX™ B300 is built for the age of AI reasoning, the right platform for large-scale LLM training and fine-tuning, high-throughput inference, and multimodal AI workloads.
NVIDIA HGX B200
The NVIDIA HGX™ B200 is built on the Blackwell architecture, delivering a well-balanced platform for large-scale LLM training, MoE model workloads, and high-throughput inference.
NVIDIA HGX H200
The NVIDIA HGX™ H200 is built on the proven Hopper architecture with 141 GB of memory per GPU, designed for running large language models without quantization and memory-intensive inference workloads at scale.
NVIDIA HGX H100
The NVIDIA HGX™ H100 is the proven Hopper GPU for cost-efficient AI inference, fine-tuning, and large-scale training, with a mature software ecosystem and battle-tested reliability at cluster scale.
NVIDIA RTX PRO 6000
The NVIDIA RTX PRO 6000 Blackwell is a universal GPU for AI inference, scientific simulation, and physical AI, combining 96 GB of memory with fifth-generation Tensor Cores and fourth-generation RT Cores in a data center-ready form factor.
CPU instances
We provide CPU-only instances to support the full range of tasks in your AI pipeline, available on Intel Xeon and AMD EPYC.
AI applications and agents
Run app backends, serving logic, and orchestration layers that sit alongside your GPU workloads.
Data preprocessing and pipelines
Run tokenization, feature engineering, and data loading jobs on dedicated CPU compute, keeping GPU capacity free for training and inference.
Offline and batch inference
Process documents, run bulk evaluations, and serve non-latency-critical inference workloads on CPU.
Automation and tooling
Run evaluation harnesses, scheduled jobs, ML pipeline scripts, and CI/CD workflows for AI.
Fully-managed container orchestration
Fully-managed container orchestration
Managed Kubernetes is a core part of the Nebius compute platform: a fully managed container orchestration layer, pre-optimized for AI workloads. It lets you deploy, scale, and manage containerized AI workloads natively, without building or maintaining the orchestration layer yourself.
For teams that need direct, DevOps-level control over multi-node environments, managed Kubernetes is available as a standalone service.

Validated performance, out of the box
Validated performance, out of the box
Nebius participates in MLPerf benchmarks by MLCommons and holds NVIDIA Exemplar Cloud validation status across multiple GPU generations, reflecting our multi-stage testing process and the depth of engineering work that goes into every cluster we deploy.

Getting started
Launch your first GPU instance in the Nebius console, or reach out to our team to discuss capacity, reserved pricing, or your specific workload requirements.
