Company profile
Nebius
AI cloud platform for training, inference, and deployment.
- Category
- Cloud & compute
- Headquarters
- Amsterdam
- Sells to
- Mixed
- Business model
- Usage-based API
- Deployment
- Cloud / SaaS, API
- Pricing
- Usage based
- Builds own models
- No — builds on existing models
- Modalities
- Text, Code, Multimodal, Video, Other
What Nebius does
Nebius is an AI cloud company providing a unified platform for the entire AI journey, from data and model training/tuning to production runtime and deployment. It offers custom hardware with non-virtualized GPUs and InfiniBand, built-in MLOps tooling, serverless and managed inference, and flexible consumption options. Nebius supports various AI workloads, including large-scale training, inference, and agent development, with a focus on scalability, performance, and security. The company also includes other businesses like Avride (autonomous cars), Tripleten (edtech), Toloka (data partner for AI development), ClickHouse (database), and Nebius Academy (AI education).
Products
- Nebius AI CloudA unified platform for the complete AI journey, from data and model training and tuning to production runtime and deployment, offering custom hardware, MLOps tooling, serverless and managed inference.
- Tavily by NebiusAn API for retrieving live web data, extracting relevant content, and returning it structured for models, designed for grounding agents with fresh, reasoning-ready web context.
- Nebius Token FactoryA platform to deploy open-source AI models like Llama, Qwen, DeepSeek, GPT OSS on dedicated endpoints with autoscaling, speculative decoding, and multi-region routing for production-speed inference.
- Managed Service for KubernetesA container orchestrator for AI needs.
- Container RegistryDocker image management.
- Managed Service for PostgreSQLPostgreSQL database management.
- Managed Service for MLflowML lifecycle management.
- SecretStashA service to store sensitive data in an encrypted form, such as API keys, tokens, or certificates.
- Key Management ServiceA service to issue and store cryptographic keys.
Key capabilities
- Faster time to AI value
- Built-in repeatability and self-service access
- Custom hardware with non-virtualized GPUs & InfiniBand
- Industry-leading MTBF/MTTR
- Built-in MLOps tooling
- Serverless and managed inference
- Elastic at any stage
- Flexible consumption options
- Expert support from real humans
- 24/7 support by default
- Free white-glove PoC
- Enterprise-grade compliance
- Commitment discounts for GPU pricing
- Flexible pricing strategy
- Convenient payment methods (credit cards or bank transfers)
- Zero-retention privacy for Tavily
- Thousands of web queries in seconds for Tavily
- Production-grade retrieval stack with real-time search, intelligent caching, and indexing for Tavily
- Drop-in integration with leading LLM providers (OpenAI, Anthropic, Groq) for Tavily
- Autoscaling, speculative decoding and multi-region routing for Token Factory
- Optimized pricing for inference with Token Factory
- State-of-the-art multimodal models available through Token Factory
- AI agent essentials (function calling, structured JSON outputs, safety guardrails) for Token Factory
- Custom and fine-tuned models deployment for Token Factory
- RAG development tools (embedding models, PGVector-powered storage) for Token Factory
- Inference service via OpenAI-compatible API for Token Factory
- Data Lab for turning production logs and datasets into training data for Token Factory
- Streamlined post-training workflows for Token Factory
- Benchmark-backed performance and cost efficiency for Token Factory
- Programmable reliability with human judgment for Toloka integration
- Enterprise-grade validation with 10,000+ vetted experts for Toloka integration
- Proven risk reduction with human-in-the-loop for Toloka integration
- Automate workflows and optimize AI models for HCLS
- Lower operational costs for HCLS
- Scale high-performance computing for HCLS
- Seamless cloud integration for HCLS
- Scalable infrastructure for HCLS
- Real-time data processing for HCLS
- AI Infrastructure for scientific computing
- Serverless Inference for GPU workloads
- Bioinformatics pipelines (Nextflow, nf-core) with Seqera integration
- NVIDIA Science AI Stack access
- Enterprise-grade security for healthcare and life sciences AI workloads
- Burst compute on demand for Media & Entertainment
- Process video and data at the edge for Media & Entertainment
- Private AI Cloud for data residency and IP protection for Media & Entertainment
- Production-ready inference for Media & Entertainment
- Private endpoints for Media & Entertainment
- Rapid IP development for Media & Entertainment
- Commercially safe foundations for Media & Entertainment
- ROI-driven pricing for Media & Entertainment
- High velocity training for Media & Entertainment
- Streamlined fine-tuning for Media & Entertainment
- Multimodal data lake for Media & Entertainment
- Zero-touch provisioning for Media & Entertainment
- Leading infrastructure efficiency for Media & Entertainment
- Production grade serving for Media & Entertainment
- Security by design
- Security by default
- Security compliance (GDPR, CCPA)
- Data center security
- Secure SDLC
- Customer workload isolation
- Network isolation (VPCs)
- InfiniBand isolation
- Kubernetes isolation
- Shared responsibility matrix
- Identity and access management
- Audit logs
Use cases
- Training AI models
- AI inference
- Building AI clusters
- Running small AI experiments
- Deploying global-scale AI environments
- Scaling AI wellbeing support
- Building Robo-Labor for physical AI
- Training gen AI foundational models
- Running large-scale training with Slurm
- Scaling AI Inference for safer banking
- Grounding agents with fresh web context
- Real-time web search for agents
- Extracting clean context from web pages for agents
- Generating comprehensive research reports for agents
- Crawling entire sites with intent for agents
- Mapping sites before agents fetch content
- Reducing token waste and inference costs for agents
- Deploying open-source AI models (Llama, Qwen, DeepSeek, GPT OSS)
- Building and deploying intelligent agents
- Adapting models to data using fine-tuning workflows
- Creating retrieval-augmented systems
- Serving text, code, and vision models
- Turning production logs and existing datasets into reusable training data
- Optimizing LLM inference at scale
- Automating gene-editing experiments
- Training proprietary biology foundation models
- Running end-to-end drug discovery pipelines
- Protein structure prediction & design
- Molecular docking & virtual screening
- Foundation model fine-tuning for drug candidates
- ADMET property prediction
- Processing and analyzing large volumes of healthcare and genomic data
- Running containerized GPU inference workloads on demand
- Running Nextflow and nf-core pipelines for bioinformatics
- Tracking experiments, managing model versions, and linking datasets with MLflow
- Building reproducible scientific workflows with Flyte
- Accelerating content creation for Media & Entertainment
- Powering instant experiences (automated highlights, real-time object detection, dynamic ads) for Media & Entertainment
- Maintaining total data control for Media & Entertainment
- Rapid IP development for Media & Entertainment
- High velocity training for Media & Entertainment
- Streamlined fine-tuning for Media & Entertainment
- Managing user roles and permissions
- Capturing security-relevant events for audit logging
- Storing sensitive data (API keys, tokens, certificates)
- Issuing and storing cryptographic keys
AI approach
Nebius provides an AI cloud platform that supports the entire AI journey from data and model training to tuning, production runtime, and deployment. They offer infrastructure with non-virtualized GPUs and InfiniBand, MLOps tooling, serverless and managed inference. They also offer a Token Factory for deploying open-source models and a web retrieval API called Tavily for agents. They support various AI workloads including large-scale training, inference, and scientific AI in healthcare and media.
Tech named: NVIDIA Blackwell, NVIDIA H100, NVIDIA GB300 NVL72, NVIDIA HGX B300, NVIDIA GB200 NVL72, NVIDIA HGX B200, NVIDIA HGX H200, NVIDIA HGX H100, NVIDIA RTX PRO 6000, NVIDIA L40S, Intel CPU, AMD CPU, AMD EPYC Genoa, Intel Ice Lake, InfiniBand, Kubernetes, Slurm, PostgreSQL, MLflow, OpenAI API, Anthropic API, Groq API, Llama, Qwen, DeepSeek, GPT OSS, Mistral, PGVector, AlphaFold2, Boltz-2, RFdiffusion, DiffDock, GROMACS, Amber, Nextflow, nf-core, Seqera, Terraform, Flyte (Union.ai), BioNeMo, Nemotron, Parabricks, MONAI, Holoscan, Isaac for Healthcare, DALL·E 3, Midjourney v6
Industries served
- Healthcare
- Robotics
- Media
- E-commerce
- Financial Services
- Life Sciences
- BioPharma
- Drug Discovery
- Retail
- Logistics
- E-commerce
- Food and Grocery Delivery
- Mining
- Manufacturing
- Energy
What it says sets it apart
- Custom hardware with non-virtualized GPUs & InfiniBand
- Industry-leading MTBF/MTTR
- Built-in MLOps tooling
- Serverless and managed inference
- Flexible consumption options
- Expert support from real humans
- 24/7 support by default
- Free white-glove PoC
- Enterprise-grade compliance
- Zero-retention data handling for privacy (Tavily)
- Production-grade retrieval stack (Tavily)
- Dedicated endpoints for open-source AI models with sub-second targets and 99.9% uptime (Token Factory)
- Optimized pricing for inference (Token Factory)
- Comprehensive model coverage (60+ premium models) (Token Factory)
- Familiar OpenAI-compatible API (Token Factory)
- Integration with Toloka's network of 10,000+ vetted experts for human validation
- Purpose-built end-to-end AI platform for Healthcare and Life Sciences
- Access to NVIDIA’s healthcare and life sciences ecosystem
- Reference Platform NVIDIA Cloud Partner status
- Security by design, default, and compliance (SOC 2 Type II with HIPAA, ISO/IEC 27001, etc.)
- Strong isolation between customer environments (network, InfiniBand, Kubernetes)
- Comprehensive audit logging
- Proprietary learning platform for edtech (Tripleten)
- Autonomous driving solutions deployed and operated in many different contexts (Avride)
This profile was compiled from Nebius's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.