# Nebius 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Nebius（nebius.com）是一个收录在 AI Developer Tools 下的 AI 平台，月访问量为 114.57万，月度环比流量变化为 +11.08万（+10.7%）。其主要地理市场为美国（46.8% 流量份额），采用付费，定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 RunPod（288.1万次访问/月），Together AI（164.59万次访问/月），Modal（119.6万次访问/月）。 Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | Nebius | | 标识 | nebius | | Status | active | | Origin | independent | | Maintenance | active | | 官方域名 | nebius.com | | 官网地址 | https://nebius.com | | 分类 | AI Developer Tools, AI Models, AI API, Open Source AI Models | | 定价模式 | 付费，定价请咨询 | | 月访问量 | 1,145,711 | | 月度环比流量变化 | 110,834 | | 月度环比增长率 | +10.7% | | 主要市场 | 美国 | | 市场份额 | 46.8% | | 直接访问量 | 447,886 | | 自然搜索访问 | — | | 社交访问 | — | | 推荐访问 | 68,882 | | 邮件访问 | 27,974 | | 评价得分 | 4.5 | | 收藏数 | 0 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 功能: 网站; 定价: 付费; 定价: 定价请咨询 | | 标签 | AI 云, NVIDIA GPU, AI 模型微调, 托管 Kubernetes, Slurm, MLflow, PostgreSQL, Apache Spark, Terraform, AI 基础设施, 云计算, 机器学习, 深度学习, 数据科学, H100, H200, L40S, Blackwell 平台 | ## 概览 Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack. ## 定价与套餐 Usage-based pricing published on the site. On-demand GPU instances range from roughly $1.55/GPU-hour for L40S up to about $9.50/GPU-hour for HGX B300, with preemptible and live spot options starting around $0.79/GPU-hour. CPU-only instances start near $0.06/cpu-hour, managed Kubernetes and networking are free, and large-scale clusters or commitments are quoted through sales. ## 关键功能与能力 - **Non-virtualized GPU clusters:** Bare-metal access to NVIDIA GB300, B300, GB200, B200, H200, H100, RTX PRO 6000, and L40S GPUs connected over InfiniBand for training and inference at scale. - **Nebius Token Factory:** A managed inference service for running popular open and frontier models through an API, so applications can add LLM capabilities without owning GPUs. - **Managed MLOps services:** Built-in Kubernetes, Soperator for Slurm jobs, PostgreSQL, and MLflow give teams a ready-made environment for orchestration, tracking, and experiments. - **Flexible consumption and spot pricing:** Choose on-demand, preemptible, or live market-driven spot capacity, or commit to reserved clusters for discounts on long-running workloads. - **Scalable AI storage:** Shared filesystems, WEKA, block volumes, and tiered object storage sized for multi-hundred-terabyte training datasets. ## 主要用例 - **Large-scale model training (ML engineers):** Spin up multi-node GPU clusters with Slurm or Kubernetes to run long training jobs with checkpointing and fast shared storage. - **Inference at production scale (AI product teams):** Serve agents, chat, and search features through Token Factory or self-hosted endpoints with stable latency and predictable cost. - **Fine-tuning and experimentation (Startups and research groups):** Use preemptible and spot GPUs for affordable iteration, then scale to reserved clusters once a model is ready for production. - **Consolidating AI infrastructure (Enterprise platform teams):** Standardize training, storage, and serving on one AI-native cloud with compliance support and enterprise agreements. ## 优势 - Transparent, publicly listed per-hour GPU and storage pricing - Broad NVIDIA lineup from L40S up to GB300 NVL72 - Free Kubernetes management, networking egress, and public IPs - Integrated MLOps tooling including MLflow, Slurm via Soperator, and PostgreSQL - Both raw GPU compute and a serverless inference API under one roof ## 局限 - Top-end clusters like GB300 and GB200 are quote-only, not self-serve - Spot and preemptible capacity is interruptible and prices move with demand - Requires meaningful ML infrastructure knowledge to get the most out of it ## 常见问题 ### Do I need to talk to sales to start? No. You can sign up, add a card, and start on-demand GPU or CPU instances directly. Sales contact is only needed for large reserved clusters, commitments, or custom enterprise terms. ### What is the minimum first payment? Nebius lists a $25 minimum for the first payment, processed via card through Stripe. Company accounts can also pay by bank transfer. ### Can I save money on long-running jobs? Yes. Preemptible instances and live spot pricing are cheaper than on-demand rates, and commitment-based reservations offer discounts for stable multi-month workloads. ### Is there a managed inference option? Yes. Nebius Token Factory provides API access to hosted models, so you can add inference without provisioning your own GPUs. ### Nebius 的月流量和增长趋势如何？ Nebius 目前每月获得 114.57万访问量，月度环比流量变化为 +11.08万（增长率 +10.7%）。其主要来源市场是美国（46.8% 份额），包括每月 44.79万次直接访问和每月 — 次自然搜索访问。 ### Nebius 免费吗？它的定价模式是什么？ Nebius 采用付费，定价请咨询定价模式。Usage-based pricing published on the site. On-demand GPU instances range from roughly $1.55/GPU-hour for L40S up to about $9.50/GPU-hour for HGX B300, with preemptible and live spot options starting around $0.79/GPU-hour. CPU-only instances start near $0.06/cpu-hour, managed Kubernetes and networking are free, and large-scale clusters or commitments are quoted through sales. 支持的计费和结账平台包括：未列出。 ### 2026 年 Nebius 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，Nebius 的前五个替代方案是：1. RunPod（288.1万次访问/月）; 2. Together AI（164.59万次访问/月）; 3. Modal（119.6万次访问/月）; 4. Vast.ai（125.76万次访问/月）; 5. Massed Compute（1.18万次访问/月）。 ### Nebius 支持哪些平台和核心 AI 能力？ Nebius 被归类在 AI Developer Tools, AI Models, AI API, Open Source AI Models 下，支持以下平台：网站，其核心能力标签包括：AI 云, NVIDIA GPU, AI 模型微调, 托管 Kubernetes, Slurm, MLflow。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [RunPod](https://openaitools.app/zh/tool/runpod) | 2,881,043 | 付费 | [对比](https://openaitools.app/zh/compare/nebius-vs-runpod) | | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | 免费增值，付费 | [对比](https://openaitools.app/zh/compare/nebius-vs-together-ai) | | [Modal](https://openaitools.app/zh/tool/modal-com) | 1,196,021 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/modal-com-vs-nebius) | | [Vast.ai](https://openaitools.app/zh/tool/vast-ai) | 1,257,554 | 付费 | [对比](https://openaitools.app/zh/compare/nebius-vs-vast-ai) | | [Massed Compute](https://openaitools.app/zh/tool/massedcompute-com) | 11,752 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/massedcompute-com-vs-nebius) | | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | 154,620 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-nebius) | | [Cerebrium](https://openaitools.app/zh/tool/cerebrium) | 26,974 | 免费试用，付费 | [对比](https://openaitools.app/zh/compare/cerebrium-vs-nebius) | | [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | 付费 | [对比](https://openaitools.app/zh/compare/deep-infra-vs-nebius) | | [Novita AI](https://openaitools.app/zh/tool/novita-ai) | 271,371 | 付费 | [对比](https://openaitools.app/zh/compare/nebius-vs-novita-ai) | | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | Paid, pay-as-you-go usage-based pricing | [对比](https://openaitools.app/zh/compare/fal-ai-vs-nebius) | | [Anyscale](https://openaitools.app/zh/tool/anyscale-com) | 49,779 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/anyscale-com-vs-nebius) | | [Lightning AI](https://openaitools.app/zh/tool/lightning-ai) | 272,562 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/lightning-ai-vs-nebius) | --- 来源：https://openaitools.app/zh/tool/nebius