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Nebius Group N.V.

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nebius.comAmsterdam, Netherlands

Nebius Group N.V. is a Nasdaq-listed AI cloud company delivering a unified, end-to-end platform for the AI journey to builders and enterprises worldwide.

Overview

Nebius is an AI cloud company delivering a unified end-to-end platform for the AI journey—from data handling and model training to production runtime and deployment. Built on deep in-house expertise, Nebius emphasizes an engineering culture that designs and operates large-scale platforms with global reach. The company serves AI builders and enterprises worldwide across industries including healthcare and life sciences, robotics and physical AI, financial services, media & entertainment, retail, and more. Nebius is listed on Nasdaq and maintains a growing global footprint.

Mission statement

To empower AI builders and enterprises worldwide by providing a reliable, end-to-end AI cloud platform that enables data preparation, model training and tuning, and production deployment.

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What we offer

Managed Inference

Deliver Reliable, Fast, and Scalable Inference for Open-Source Models.

nebius.com/services/token-factory

Agentic Search

Empowers AI agents to utilize real-time web data for informed decision-making.

nebius.com/solutions/agentic-search

Human Validation

Enhance AI reliability with human expert validation through a streamlined integration.

nebius.com/solutions/tendem

AI Orchestration

Effortlessly manage and scale GPU workloads with AI Orchestration.

nebius.com/orchestration

Serverless AI

Instantly run AI workloads and reduce infrastructure overhead with Serverless AI.

nebius.com/serverless

DataOps

Streamline AI data management with a fully managed PostgreSQL database for rapid iteration and low latency.

nebius.com/dataops

ModelOps

Streamline ML lifecycle management with comprehensive tracking and governance.

nebius.com/modelops

Compute

Flexible and high-performance compute platform for AI workloads.

nebius.com/compute

Networking

Provides secure and scalable networking solutions tailored for cloud-based AI workloads.

nebius.com/networking

AI Storage

Maximize performance and efficiency with scalable, high-speed storage solutions for AI workloads.

nebius.com/storage

Who do we serve

Growth Stage Technology Companies

Global technology and AI builders aiming to scale production-grade AI platforms.

TechnologyAI-focused enterprises across multiple industries.

Regulated Industry Enterprises

Financial services and healthcare organizations requiring strict data governance and regulatory compliance.

Financial ServicesHealthcareLife Sciences

Robotics And Industrial AI Innovators

Global manufacturers and robotics firms deploying AI at scale for automation.

RoboticsManufacturingIndustrial Automation

Media And Retail AI Teams

Media and retail brands leveraging AI for content personalization, insights, and automation.

MediaEntertainmentRetail

Market segments

Market size by segment

Growth potential (CAGR)

ML training infrastructure and orchestration

12.7 Billion USD24.5% CAGR

Capabilities to schedule, run, and scale GPU-accelerated training jobs, manage clusters and checkpoints, and provide fault tolerance and pre-validated high-performance compute for model development.

Managed model inference and serving

23.4 Billion USD26.8% CAGR

Managed hosting and serving of models with autoscaling endpoints, OpenAI-compatible APIs, batch inference pricing, and configurable serving modes to balance latency and throughput for production deployments.

AI data management and low-latency databases

4.8 Billion USD22% CAGR

Data storage, streaming, and managed database capabilities optimized for AI workflows, including high-speed dataset streaming, tiered storage, rapid checkpoints, and managed PostgreSQL for RAG, agent state, and metadata.

Web research automation and evidence-based intelligence

3.5 Billion USD16% CAGR

Automated web-enabled agents that extract structured data at scale, provide reasoning with citations, and deliver fresh intelligence for market research, competitive analysis, and large-scale data collection.

Human-in-the-loop engagement and process monitoring

3 Billion USD22.5% CAGR

Capabilities that enable user interaction, task routing, performance monitoring, and exception handling to maintain process quality and operational oversight.

More information about our offering

Managed Inference

Nebius Token Factory is Nebius managed inference platform for open-source models. Access 60+ models at blazing speeds including Kimi, DeepSeek, and Qwen through an OpenAI-compatible API, with no infrastructure to manage. Choose between fast and base serving modes depending on latency or throughput. Batch inference is available at half the real-time price for async and data processing workloads.

  • Access Diverse Models
    Leverage various models to meet different AI use cases without managing infrastructure.
  • Focus on Development
    Eliminate infrastructure concerns, allowing teams to concentrate on model development and business goals.
  • Scale Seamlessly
    Easily manage fluctuating workloads without compromising performance.
  • Optimize Costs
    Utilize lower-cost options for batch processing, enhancing profitability for high-volume applications.
  • Simplify Integration
    Rest easy with straightforward integration into existing systems for faster deployment.
  • Predict Costs
    Understand expenses clearly, enhancing budget management for AI projects.
  • Choose Optimal Performance
    Select the ideal serving mode based on application demands to improve user experience.

Agentic Search

Agentic Search by Nebius transforms the web into structured data for AI agents, enabling them to retrieve, reason, and act on current information securely and efficiently.

  • Access Current Information
    Equips agents with fresh, trusted data that enhances their ability to reason and act without hallucinating or wasting tokens.
  • Maintain Data Privacy
    Supports enterprise security requirements while handling data, allowing businesses to operate with confidence.
  • Optimize Query Latency
    Keeps response times predictable as traffic increases, providing reliability for high-demand applications.
  • Reduce Token Waste
    Streamlines input for agents, enhancing efficiency in high-context workflows.
  • Generate Informed Insights
    Enables agents to analyze and synthesize information for richer output quality.

Human Validation

Tendem, in collaboration with Toloka, offers a human validation service that connects AI agents to a network of vetted domain experts. This provides organizations with enterprise-grade quality assurance through structured outputs, risk reduction, and seamless integration into existing workflows.

  • Access Verified Domain Experts
    Leverage a broad network of specialists to ensure higher task completion rates and faster resolution times.
  • Automate Human Escalation Processes
    Streamline operations by routing complex tasks to experts via callable endpoints, enhancing decision-making processes.
  • Ensure High-Quality Outputs
    Utilize structured outputs that support accountability and traceability, minimizing risks in high-stakes environments.
  • Lower Error Rates
    Achieve a statistically significant improvement in task completion while ensuring that outputs are trustworthy and accurate.

AI Orchestration

Nebius' AI Orchestration allows for effortless scaling and management of GPU workloads. The platform simplifies infrastructure setup and provides tools for fault tolerance, pre-validated performance, and diverse orchestration options.

  • Manage GPU Jobs Seamlessly
    Utilize a wide array of orchestration tools, enabling easy scheduling and management of GPU workloads without the need for extensive DevOps expertise.
  • Ensure Workload Reliability
    Scheduled and active health checks detect issues and automatically address node failures, safeguarding ongoing training and batch processing tasks.
  • Optimize Performance Instantly
    Deploy high-performance GPU clusters without the delay of manual tuning or configuration, enabling you to maximize computational efficiency from day one.
  • Launch Slurm Clusters Quickly
    Provision a complete Slurm environment within 20-30 minutes, facilitating fast and effective GPU job scheduling.
  • Connect to Preferred Workflows
    Maintain existing workflows while leveraging Nebius' cloud resources to optimize scalability and performance.

Serverless AI

Run AI workloads without infrastructure setup. Run GPU workloads in minutes without waiting for clusters to be provisioned, configured and validated. No infrastructure overhead; pay only for what you use. Scale instantly when needed. Serverless AI provides three services for different stages of the AI workflow: Jobs, Endpoints, and DevPods.

  • Eliminate Setup Time
    Focus on your AI tasks without worrying about the underlying infrastructure.
  • Scale Compute Instantly
    Adjust resources dynamically to meet the demands of your workloads in real-time.
  • Deploy Models Instantly
    Easily serve your ML models via HTTP requests for rapid inference.
  • Execute Containerized Workloads
    Run batch jobs and training experiments seamlessly without complicated setup.
  • Cost-Efficient Pricing Model
    Only pay for the compute time you actually use, optimizing your budget.
  • Create Interactive Environments
    Quickly prototype and develop using popular data science tools without setup.

DataOps

DataOps offers a fully managed PostgreSQL database for AI workflows, simplifying data management across all AI development stages. It eliminates the need for infrastructure configuration, ensuring fast access and reduced latency for data-intensive tasks.

  • Manage Data Effortlessly
    Eliminate the complexities of server management and focus on your AI development. Your PostgreSQL instance is operational from day one with zero setup required.
  • Reduce Latency
    Keep your data close to the processing units, avoiding external internet round trips for improved speed and efficiency.
  • Support Diverse Applications
    Seamlessly integrate with AI applications, allowing for low-latency retrieval and effective machine learning data management.
  • Incorporate Expert Feedback
    Connect agents to a network of experts for quality assurance, ensuring reliable model performance in production.
  • Expand Data Capabilities
    Leverage Nebius Applications to deploy various databases and processing tools in harmony with your existing setup.

ModelOps

MLflow-powered ModelOps keeps every experiment tracked and every checkpoint versioned, enabling comparison of runs and faster iteration across the fine-tuning and alignment cycle.

  • Track Experiments Seamlessly
    Capture hyperparameters, metrics, and artifacts effortlessly during model runs, allowing for enhanced analysis and comparison of performance across iterations.
  • Manage Models End-to-End
    Facilitate a smooth transition of models from initial experiments through training, evaluation, and deployment while maintaining full lineage and versioning of artifacts.
  • Run Experiments in One Place
    This integration means metrics and artifacts remain on the platform without extra wiring, enhancing efficiency and simplicity.
  • Simplify Model Management
    By handling infrastructure hassles such as server provisioning and database configuration, the platform allows teams to focus on model development rather than operational components.

Compute

Run and scale AI workloads on an IaaS platform that offers flexibility and supercomputer performance for every stage of your AI pipeline.

  • Utilize NVIDIA GPUs
    Leverage high-performance GPUs for AI training, inference, and simulations, enabling faster processing of complex tasks.
  • Dynamic Resource Allocation
    Efficiently manage resources by automatically adjusting cluster sizes to meet changing workload requirements.
  • Deploy with Ease
    Easily manage and scale containerized applications without the operational overhead of infrastructure management.
  • Ensure Data Security
    Protect sensitive data while meeting compliance requirements such as GDPR and HIPAA.
  • Support CPU Workloads
    Your AI pipeline can comfortably run CPU-only tasks, ensuring flexibility and resource efficiency.

Networking

Connect, isolate, and control resources in your AI cloud environment with a secure network layer built for scale.

  • Ensures Complete Isolation
    By isolating each project, Nebius enhances security and prevents unauthorized access from other cloud users.
  • Manage Traffic Safely
    Security groups enhance the protection of resources by strictly managing which traffic is permitted, thus mitigating unwanted access.
  • Integrates Resource Communication
    Facilitates seamless communication between compute instances, GPU clusters, and managed services within a secure framework.
  • Customize Network Structure
    With advanced configurations, users can optimize network performance and security according to their specific requirements.
  • Tailor Network Flow
    Users can define CIDR blocks and custom routes, providing flexibility in network management for various applications.

AI Storage

Scalable AI storage solutions for building and using generative AI on Nebius AI Cloud.

  • Accelerate Training Cycles
    Enhance performance by streaming datasets quickly to GPU clusters, minimizing delays in data processing.
  • Enable Seamless Collaboration
    Facilitate easy data sharing across different compute nodes, reducing latency and increasing efficiency during collaborative AI tasks.
  • Enhance Training Efficiency
    Utilize high-speed storage to manage training checkpoints effectively, leading to smoother and faster training processes.
  • Optimize Costs Effectively
    Manage storage costs efficiently by utilizing warm and cold storage tiers according to data access patterns.
  • Support Multi-Modal Workflows
    Effortlessly handle various forms of unstructured data to enhance the versatility and reach of your AI applications.
  • Store Large Volumes of Data
    Utilize cost-effective and scalable object storage to manage large datasets without limitations on volume.

References

Methodology and sourcing behind the market figures shown above.

ML training infrastructure and orchestration

Estimate based on reported AI training/infrastructure figures in the search results. TrendX lists the AI Training Market at USD 12.00B in 2025 with a 24.5% CAGR (2026–2034) — this most closely matches training infrastructure demand. ML orchestration tools are a smaller subset (~US$0.74B in 2024 per QYResearch/OpenPR). Precedence Research shows the broader AI infrastructure market at USD 72.02B in 2025, indicating substantial adjacent spend on hardware and platform services. Combining the AI Training market (primary driver) with the orchestration tools subset yields a 2025 market estimate of roughly USD 12.7B and adoption-driven growth aligned with the 24.5% CAGR reported for AI training.

Managed model inference and serving

Estimate based on published market reports for AI inference / inference-as-a-service. Precedence Research explicitly reports USD 23.40B for AI inference-as-a-service in 2026 and a 26.8% CAGR; independent estimates (inference server reports) show similar high-growth trajectories (mid-20% to high-20% CAGR), with at least one broader AI inference report citing a lower 16.6% CAGR.

AI data management and low-latency databases

Primary baseline: Market Research Future’s AI Data Management estimate (2024 market $32.1B) was used as the closest match for ‘AI data management’. The target segment (low‑latency databases, high‑speed streaming, tiered storage, managed Postgres for RAG/agent state/metadata) is a subset of AI data management; applying a conservative 10–15% share yields an estimated current market size of ~USD 4.8B. Growth (CAGR ~22%) is set near published AI data management and AI infrastructure forecasts (MRFR ~23%, DataM Intelligence ~22.8%) and above the broader data management CAGR (IoT Analytics 16%) to reflect accelerated demand for low‑latency, real‑time data systems driven by LLM/RAG and agent workloads.

Web research automation and evidence-based intelligence

Triangulated from adjacent markets: web analytics (USD 8.54B in 2025) and business intelligence platforms (USD 36.6B in 2026), and the faster growth of AI-enabled analytics. Treating web research automation and evidence-based intelligence as a focused subset of these markets (conservative ~5–10% of combined addressable activity) yields an estimated current market size of about USD 3.5B. Growth potential reflects adoption of AI-driven, privacy-preserving analytics and agentic automation, aligned with web-analytics/AI CAGRs (~16%).

Human-in-the-loop engagement and process monitoring

No search result provided explicit market-size or CAGR figures for human-in-the-loop (HITL) engagement and process monitoring. Estimates use internal judgement and the qualitative evidence in the results: HITL is a cross-cutting subsegment of data labeling/annotation services, MLOps/AI governance platforms, and workflow/agent oversight (human review, routing, monitoring, exception handling). The documents emphasize high AI project failure rates and growing need for human oversight (driving demand across healthcare, finance, customer service, IT operations and regulated industries). Aggregating likely commercial spending on HITL software, orchestration, and services produces a conservative 2026 market-size estimate of about $3.0 billion. Given accelerating deployment of agentic AI, regulatory pressure, and enterprise risk mitigation needs, a high adoption trajectory is expected; a mid-point five-year CAGR estimate of ~22.5% balances rapid adoption with integration and governance constraints. Values are estimates based on the provided qualitative sources and domain knowledge; no explicit numeric market references were available in the searchResults.

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