
專項更強Tailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
Nebius 每月有 1,145,711 次造訪,月增率 +10.7%,定價模式為付費、需聯絡報價。Union.ai 每月有 17,787 次造訪,成長率 -28.4%,定價模式為免費增值、需聯絡報價。
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | nebius.com | union.ai |
| 定價模式 | 付費、需聯絡報價 | 免費增值、需聯絡報價 |
| 每月造訪次數 | 114.57萬 (1,145,711) | 1.78萬 (17,787) |
| 月流量變化量 | +11.08萬 (+10.7%) | -7039 (-28.4%) |
| 主要市場與市佔 | 🇺🇸 美國 (46.8%) | 🇺🇸 美國 (52.8%) |
| 每月直接造訪 | 44.79萬 | 7040 |
| 使用者評分 | 4.5 | 4.4 |
| 支援平台 | 網站 | 網站 |
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.
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.
A managed inference service for running popular open and frontier models through an API, so applications can add LLM capabilities without owning GPUs.
Built-in Kubernetes, Soperator for Slurm jobs, PostgreSQL, and MLflow give teams a ready-made environment for orchestration, tracking, and experiments.
Choose on-demand, preemptible, or live market-driven spot capacity, or commit to reserved clusters for discounts on long-running workloads.

在你自己的雲中執行的可持久化 AI 執行環境
任務、追蹤與成品可跨基礎設施故障存活。執行可派生、恢復並自最後成功步驟重放,重試與快取由執行環境統一處理。
具名、帶型別並帶版本的成品串連各團隊,血緣圖清楚顯示某個版本由哪次執行產出、又被哪些下游任務取用。
控制面託管於 Union 雲,負載在你自己的 AWS、GCP、Azure 或新雲叢集上執行,始終位於自有安全邊界內。
支援接入 OpenAI、Claude、PydanticAI、CrewAI 等 Agent,每一輪皆被追蹤並於臨時容器中沙箱執行,支援 MCP 伺服器與人工核准。

專項更強Tailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.

專項更強Provides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
專項更強Combines model APIs and serverless GPU jobs, but lacks the enterprise-grade bare-metal infrastructure orchestration of Nebius.

FluidStack builds and operates large-scale compute infrastructure for AI, including gigawatt-class data centers and GPU clusters used for training and inference. The company designs its own power, cooling and data center systems, onshores manufacturing and deploys solar generation to supply the power its clusters need. Rather than a self-serve cloud console, FluidStack works with AI labs and enterprises to provision large reserved clusters, with orchestration tooling for the ML frameworks and schedulers those teams already use.
FluidStack builds and operates large-scale compute infrastructure for AI, including gigawatt-class data centers and GPU clusters used for training and inference. The company designs its own power, cooling and data center systems, onshores manufacturing and deploys solar generation to supply the power its clusters need. Rather than a self-serve cloud console, FluidStack works with AI labs and enterprises to provision large reserved clusters, with orchestration tooling for the ML frameworks and schedulers those teams already use.

低成本雲端 GPU:面向 AI 工作負載的按分鐘執行個體與按秒計費沙箱。
低成本雲端 GPU:面向 AI 工作負載的按分鐘執行個體與按秒計費沙箱。