# Nebius 依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，Nebius（nebius.com）是收錄於 AI 開發者工具的 AI 平台，每月產生 114.57萬次造訪，月流量變化量為 +11.08萬（+10.7%）。其主要地理市場為美國（流量佔比 46.8%），並採用付費、需聯絡報價定價模式。依每月流量計算的主要競爭替代方案包括 RunPod（每月 288.1萬次造訪），Together AI（每月 164.59萬次造訪），Modal（每月 119.6萬次造訪）。 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. ## 主要觀測資料與規格 | 指標 | 數值 | | :--- | :--- | | 工具名稱 | Nebius | | 代稱 | nebius | | Status | active | | Origin | independent | | Maintenance | active | | 官方網域 | nebius.com | | 網站網址 | https://nebius.com | | 分類 | AI 開發者工具, AI 模型, AI API, 開源 AI 模型 | | 定價模式 | 付費、需聯絡報價 | | 每月造訪次數 | 1,145,711 | | 月流量變化 | 110,834 | | 月成長率 | +10.7% | | 主要市場 | 美國 | | 市佔率 | 46.8% | | 直接造訪 | 447,886 | | 自然搜尋造訪 | — | | 社群造訪 | — | | 推薦流量造訪 | 68,882 | | 電子郵件造訪 | 27,974 | | 評論分數 | 4.5 | | 收藏數 | 0 | | 支援平台 | 網站 | | 帳務平台 | | | 屬性 | 功能: 網站; 價格: 付費; 價格: 需聯絡報價 | | 標籤 | AI 雲端, NVIDIA GPU, AI 模型微調, 受管 Kubernetes, Slurm, MLflow, PostgreSQL, Apache Spark, Terraform, AI 基礎設施, 雲端運算, 機器學習, 深度學習, 資料科學, H100, H200, L40S, Blackwell 平台 | ## 總覽 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. ## 價格與方案 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. ## 關鍵功能與能力 - **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. ## 主要使用情境 - **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. ## 優勢 - 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 ## 限制 - 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 ## 常見問題 ### 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 的每月流量與成長趨勢為何？ Nebius 目前每月有 114.57萬次造訪，月流量變化為 +11.08萬（成長率 +10.7%）。其主要來源市場為美國（佔比 46.8%），其中包含每月 44.79萬次直接造訪與每月 — 次自然搜尋造訪。 ### Nebius 是免費的嗎？其定價模式為何？ Nebius 採用付費、需聯絡報價定價模式。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. 支援的帳務與結帳平台包括：未列出。 ### 2026 年最佳的 Nebius 替代方案有哪些？ 依據 OpenAITools.app 的分類流量與功能契合度，Nebius 的前五大替代方案為：1. RunPod（每月 288.1萬次造訪）; 2. Together AI（每月 164.59萬次造訪）; 3. Modal（每月 119.6萬次造訪）; 4. Vast.ai（每月 125.76萬次造訪）; 5. Massed Compute（每月 1.18萬次造訪）。 ### Nebius 支援哪些平台與核心 AI 能力？ Nebius 分類於 AI 開發者工具, AI 模型, AI API, 開源 AI 模型，支援以下平台：網站，其核心能力標籤包括：AI 雲端, NVIDIA GPU, AI 模型微調, 受管 Kubernetes, Slurm, MLflow。 ## 替代方案 | 工具名稱 | 每月造訪次數 | 定價模式 | 比較 | | :--- | :--- | :--- | :--- | | [RunPod](https://openaitools.app/tw/tool/runpod) | 2,881,043 | 付費 | [比較](https://openaitools.app/tw/compare/nebius-vs-runpod) | | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | 免費增值、付費 | [比較](https://openaitools.app/tw/compare/nebius-vs-together-ai) | | [Modal](https://openaitools.app/tw/tool/modal-com) | 1,196,021 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/modal-com-vs-nebius) | | [Vast.ai](https://openaitools.app/tw/tool/vast-ai) | 1,257,554 | 付費 | [比較](https://openaitools.app/tw/compare/nebius-vs-vast-ai) | | [Massed Compute](https://openaitools.app/tw/tool/massedcompute-com) | 11,752 | 付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/massedcompute-com-vs-nebius) | | [FluidStack](https://openaitools.app/tw/tool/fluidstack) | 154,620 | 付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/fluidstack-vs-nebius) | | [Cerebrium](https://openaitools.app/tw/tool/cerebrium) | 26,974 | 免費試用、付費 | [比較](https://openaitools.app/tw/compare/cerebrium-vs-nebius) | | [DeepInfra](https://openaitools.app/tw/tool/deep-infra) | 457,810 | 付費 | [比較](https://openaitools.app/tw/compare/deep-infra-vs-nebius) | | [Novita AI](https://openaitools.app/tw/tool/novita-ai) | 271,371 | 付費 | [比較](https://openaitools.app/tw/compare/nebius-vs-novita-ai) | | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | Paid, pay-as-you-go usage-based pricing | [比較](https://openaitools.app/tw/compare/fal-ai-vs-nebius) | | [Anyscale](https://openaitools.app/tw/tool/anyscale-com) | 49,779 | 付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/anyscale-com-vs-nebius) | | [Lightning AI](https://openaitools.app/tw/tool/lightning-ai) | 272,562 | 免費增值、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/lightning-ai-vs-nebius) | --- 來源：https://openaitools.app/tw/tool/nebius