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nebius.com

Amsterdam, 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.

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.

Products & Services

Managed Inference Platform

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

nebius.com/services/token-factory
  • 60+ Models — Access Diverse Models
  • Fully Managed — Focus on Development
  • Unlimited Scalability — Scale Seamlessly
  • Batch Inference Pricing — Optimize Costs
  • OpenAI-Compatible API — Simplify Integration
  • Transparent Pricing — Predict Costs
  • Serving Modes — Choose Optimal Performance

Agentic Search Solution

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

nebius.com/solutions/agentic-search
  • Live Web Data Retrieval — Access Current Information
  • Zero-Retention Privacy — Maintain Data Privacy
  • High-Volume Web Queries — Optimize Query Latency
  • Structured Content Extraction — Reduce Token Waste
  • Comprehensive Research Reports — Generate Informed Insights

Human Validation Solution

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

nebius.com/solutions/tendem
  • Expertise Access — Access Verified Domain Experts
  • Programmable Reliability — Automate Human Escalation Processes
  • Quality Control Mechanisms — Ensure High-Quality Outputs
  • Risk Management — Lower Error Rates

AI Orchestration Platform

Effortlessly manage and scale GPU workloads with AI Orchestration.

nebius.com/orchestration
  • Scalable GPU Job Management — Manage GPU Jobs Seamlessly
  • Fault Tolerance Design — Ensure Workload Reliability
  • Pre-Validated Performance — Optimize Performance Instantly
  • Soperator for Managed Slurm Clusters — Launch Slurm Clusters Quickly
  • Integrations with SkyPilot and Ray — Connect to Preferred Workflows

Serverless AI Platform

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

nebius.com/serverless
  • No infrastructure setup — Eliminate Setup Time
  • On-demand scaling — Scale Compute Instantly
  • Endpoints for inference — Deploy Models Instantly
  • Job runtime — Execute Containerized Workloads
  • Pay-as-you-go — Cost-Efficient Pricing Model
  • DevPod environments — Create Interactive Environments

DataOps Platform

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

nebius.com/dataops
  • Managed PostgreSQL Database — Manage Data Effortlessly
  • Integrated AI Workflow — Reduce Latency
  • Versatile Use Cases — Support Diverse Applications
  • Human Intelligence Integration — Incorporate Expert Feedback
  • Flexible Data Processing — Expand Data Capabilities

ModelOps Platform

Streamline ML lifecycle management with comprehensive tracking and governance.

nebius.com/modelops
  • Experiment Tracking with MLflow — Track Experiments Seamlessly
  • Support for the Full Model Lifecycle — Manage Models End-to-End
  • Integrated Environment — Run Experiments in One Place
  • Managed Service — Simplify Model Management

Compute Platform

Flexible and high-performance compute platform for AI workloads.

nebius.com/compute
  • GPU-accelerated instances — Utilize NVIDIA GPUs
  • Auto-scaling Clusters — Dynamic Resource Allocation
  • Managed Kubernetes — Deploy with Ease
  • Data Protection and Compliance — Ensure Data Security
  • CPU-only instances — Support CPU Workloads

Networking Platform

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

nebius.com/networking
  • Private By Default — Ensures Complete Isolation
  • Security Groups — Manage Traffic Safely
  • Virtual Networks — Integrates Resource Communication
  • Advanced Topologies — Customize Network Structure
  • Dynamic IP Addressing and Routing — Tailor Network Flow

AI Storage Platform

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

nebius.com/storage
  • High-speed dataset streaming — Accelerate Training Cycles
  • Shared filesystem — Enable Seamless Collaboration
  • Rapid checkpoints — Enhance Training Efficiency
  • Intelligent storage tiers — Optimize Costs Effectively
  • Ready for multi-modality — Support Multi-Modal Workflows
  • Standard object storage — Store Large Volumes of Data

Market Segments

Billion USD 0 5 10 15 20 25 ML training inf… Managed model i… AI data managem… Web research au… Human-in-the-lo… Market Size (Billion USD)
0% 3% 6% 9% 12% 15% 18% 21% 24% 27% 30% 33% CAGR Growth Potential

ML training infrastructure and orchestration

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.

Market size: $12.7B CAGR: 24.5%
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.
TH TH TH 3 references

Managed model inference and serving

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.

Market size: $23.4B CAGR: 26.8%
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 PR AI 3 references

AI data management and low-latency databases

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.

Market size: $4.8B CAGR: 22%
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.
20 DA AI 3 references

Web research automation and evidence-based intelligence

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.

Market size: $3.5B CAGR: 16%
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%).
TH BU AR 3 references

Human-in-the-loop engagement and process monitoring

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

Market size: $3.0B CAGR: 22.5%
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.

Ideal Customer Profiles

Growth Stage Technology Companies

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

Head Of AI And Data Science

Deliver AI products, accelerate experimentation, scale production

ML Platform Architect

Deliver scalable ML platform, optimize resource use

ML Engineer

Build and iterate models quickly, reduce cycle time

Regulated Industry Enterprises

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

Compliance Officer

Ensure compliance, minimize penalties

Data Platform Manager

Streamline data flows, cost control

Security Architect

Secure data and models, compliance

Robotics And Industrial AI Innovators

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

Robotics Platform Engineer

Deploy AI models in production across devices

Simulation Engineer

Improve simulation results, faster iterations

ML Engineer

Improve models for robotics applications

Media And Retail AI Teams

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

Director Of Content And Personalization

Boost engagement, optimize ROI

Marketing Analytics Lead

Increase conversions, optimize spend

Data Engineer

Maintain data pipelines and models

Related Organizations

Common Questions

What does Nebius Group N.V. do?
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.
What problems does Nebius Group N.V. solve for Growth Stage Technology Companies?
Difficulty scaling AI workloads; complex ML pipelines; governance and compliance overhead; data fragmentation; integration friction.
What problems does Nebius Group N.V. solve for Regulated Industry Enterprises?
Compliance and risk management, data lineage, auditability, data privacy requirements, fragmented data sources
What is Nebius Group N.V.'s role in the ML training infrastructure and orchestration market?
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.
What is Nebius Group N.V.'s role in the Managed model inference and serving market?
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.
How was the ML training infrastructure and orchestration market size estimate for Nebius Group N.V. calculated?
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.
How was the Managed model inference and serving market size estimate for Nebius Group N.V. calculated?
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.
Nebius Group N.V. — company overview