Nebius

Overview

Nebius AI Cloud is a purpose-built cloud platform designed specifically for artificial intelligence workloads. It positions itself as “The Ultimate AI Cloud,” offering a vertically integrated infrastructure stack that spans from bare-metal silicon to high-level application programming interfaces. By unifying compute, networking, storage, and software layers, Nebius AI Cloud empowers organizations to build and scale AI systems faster and more reliably, minimizing the operational overhead associated with assembling and managing disparate AI infrastructure components.

At the core of Nebius AI Cloud lies a high-performance infrastructure engineered for modern AI lifecycle demands. The platform provides scalable GPU-accelerated computing resources, low-latency high-bandwidth networking for distributed training, and purpose-built storage solutions designed to handle massive datasets and model artifacts. Teams can leverage managed Kubernetes and other orchestration tools to deploy end-to-end machine learning pipelines, while API-driven interfaces enable automation of model training, fine-tuning, and inference workflows. The architecture is optimized for computationally demanding processes, from large-scale distributed training to real-time model serving.

Nebius AI Cloud is built to support the entire AI lifecycle, making it suitable for both experimental research and production deployments. Data scientists and machine learning engineers can rapidly prototype models, scale training jobs across a cluster, fine-tune foundation models, and deploy inference endpoints with predictable performance. The platform also emphasizes reliability and security, providing enterprise-grade features such as robust access controls, data isolation, and high-availability architecture to support mission-critical AI applications in regulated industries.

With its “engineered from silicon to API” approach, Nebius AI Cloud helps organizations reduce time-to-market for AI products while optimizing infrastructure costs. Whether an organization is training large language models, running high-throughput inference, or building complex AI-powered applications, Nebius AI Cloud delivers the compute capacity, integration depth, and operational simplicity needed to transform AI ideas into production-ready solutions.

Core capabilities

Purpose-Built AI Infrastructure

An integrated cloud stack optimized for the full range of AI workloads.

GPU-Accelerated Compute

High-performance compute instances designed for training and inference of AI models.

High-Speed Networking

Low-latency, high-bandwidth connectivity for efficient distributed model training.

Flexible Storage Solutions

Scalable storage tailored for large datasets, fine-tuning data, and model artifacts.

Managed Kubernetes

Production-ready container orchestration for running ML pipelines seamlessly.

API-First Design

Programmatic interfaces that allow automation of AI lifecycle tasks and infrastructure management.

End-to-End ML Workflow Support

Built-in capabilities for model training, fine-tuning, and serving.

Enterprise-Grade Reliability

Secure, resilient architecture suitable for mission-critical AI deployments.

Use cases

Training large language models (LLMs)

Fine-tuning foundation models for domain-specific tasks

High-throughput inference for AI-powered applications

Building computer vision pipelines

Running distributed deep learning experiments

Implementing MLOps workflows for model lifecycle management