nebius

nebius

Nebius is an enterprise AI cloud platform that provides end-to-end infrastructure and tooling for training, inference, simulation and physical AI — offering custom hardware (non-virtualized GPUs & InfiniBand), built-in MLOps, serverless and managed inference, and expert support for production AI workloads.

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#23 in Other (23 tools)
Just launched
Data reviewed Aug 13, 2026

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Quick Overview

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What it does

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nebius

Nebius is an enterprise AI cloud platform designed to accelerate production-grade AI from training to inference. The platform emphasizes a full-stack approach "from silicon to API," offering custom hardware (non-virtualized GPUs and InfiniBand), high-performance storage, and infrastructure engineered for AI workloads. Nebius targets AI developers and organizations that need reproducible clusters quickly, built-in MLOps, serverless and managed inference, and enterprise features such as compliance and dedicated support.

Nebius also provides specialized offerings such as Nebius Token Factory for inference and model serving, Nebius Echo (an AI agent in the console), and programs and partnerships with NVIDIA and other industry partners. The site highlights customer case studies across finance, healthcare, robotics, media and e‑commerce to demonstrate production use at scale.

Cloud platform for building, tuning, and running AI models on NVIDIA GPUs.

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Key Features

Custom hardware and networking

Non-virtualized GPUs with InfiniBand and dedicated racks (e.g., NVIDIA Vera Rubin NVL72), designed to provide consistent performance and industry-leading MTBF/MTTR.

Built-in MLOps tooling

Platform includes repeatability and self-service access for AI developers with MLOps-focused tooling to manage training and deployment pipelines.

Serverless and managed inference

Managed inference and serverless AI options to run production inference at scale, including the Nebius Token Factory for inference orchestration.

Scalable storage and compute

High-performance storage and large GPU pools to support multi-month training runs, large datasets (customers report hundreds of TB usage), and global-scale environments.

Expert support and professional services

24/7 support by default with access to a large engineering team ("500+ AI experts") and white-glove proofs-of-concept for enterprises.

Agent & console capabilities

Platform-level agent features such as Nebius Echo and an Agents Blueprint for production-ready AI agents integrated into the Nebius console.

Reference platform and partner integrations

Designated NVIDIA Reference Platform Cloud Partner status and long-term supply agreements (e.g., with Meta) to support large cluster operations.

Pricing

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Use Cases

Large-scale model training

Training foundation and generative models at scale using large GPU clusters, FP8 compilation and multi-month uninterrupted training runs.

Production inference and orchestration

Managed inference, token-based inference orchestration (Nebius Token Factory), and serverless inference for high-throughput, low-latency production workloads.

Simulation and robotics (Physical AI)

End-to-end workflows for robotics including data collection, simulation, training, evaluation and deployment (e.g., RoboForce physical AI use case).

Healthcare and regulated environments

Support for clinical-grade reasoning and governance in healthcare AI deployments (e.g., Sword Health case study and related latency/parameter metrics).

Media & entertainment

High-throughput training and generation for media workloads, including workload examples and benchmarks referenced by customers.

Enterprise ML infrastructure modernization

Rebuilding core AI workflows for large-scale customer and transaction volumes (e.g., Revolut’s production AI for fraud prevention and support automation).

Integrations

NVIDIA

Reference Platform Cloud Partner status and use of NVIDIA infrastructure (e.g., H100 GPUs, Blackwell infrastructure, Vera Rubin NVL72 racks) noted throughout the site.

Meta

A long-term AI infrastructure supply agreement with Meta is announced on the site (contract value referenced).

Clarifai

Site references that Nebius welcomed Clarifai’s core team and licensed inference IP to strengthen Nebius Token Factory.

SLURM

Customer references to running large-scale training with SLURM clusters on Nebius.

Benefits

Faster time to value: "From zero to clusters in minutes" enabling quicker experimentation and productionization.
Consistent high performance: custom hardware and non-virtualized GPUs with InfiniBand to reduce variability and improve reliability (industry-leading MTBF/MTTR).
Elastic scaling: supports workloads from small experiments to global-scale environments with flexible consumption options.
Enterprise readiness: 24/7 support, white-glove PoC, and enterprise-grade compliance for regulated and mission-critical workloads.
Cost efficiency claims vs hyperscalers: cited TCO improvements (e.g., 43% better TCO for fine‑tuning vs AWS and 112% better TCO for inference vs AWS in site statements).

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Visit the Nebius site and choose "Start building now" or contact sales via "Talk to an expert" to discuss requirements.
  2. 2 Step 2: Engage with Nebius for a PoC or onboarding — the site advertises white-glove PoC and expert engineering support.
  3. 3 Step 3: Use the Nebius console (includes features like Nebius Echo and Token Factory) and platform tooling to provision clusters, run training, and deploy inference.

Support

Sales / Expert consultations

"Talk to an expert" / contact sales links on the site for onboarding and enterprise discussions.

24/7 human support

Site states "24/7 support by default" and access to a team of AI experts for customers.

Documentation

Tech docs and developer resources are referenced in the site navigation for builders and engineers.

Resources (blog, webinars, customer stories)

Site includes blog, events & webinars, customer stories, and other resources for learning and adoption.

API

Available: Yes
Documentation:

Tech docs referenced on the site (developer and product documentation linked from the navigation).

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