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CreateOS vs Union.ai
CreateOS 记录了 588 月访问量，月度环比增长为 +18.3%，定价为免费增值。Union.ai 记录了 17,787 月访问量，增长率为 -28.4%，定价为免费增值，定价请咨询。
CreateOS 记录了 588 月访问量，月度环比增长为 +18.3%，定价为免费增值。Union.ai 记录了 17,787 月访问量，增长率为 -28.4%，定价为免费增值，定价请咨询。
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | createos.nodeops.network | union.ai |
| 定价模式 | 免费增值 | 免费增值，定价请咨询 |
| 月访问量 | 588 (588) | 1.78万 (17,787) |
| 月度环比流量变化 | +91 (+18.3%) | -7039 (-28.4%) |
| 主要市场与份额 | 🌐 全球 (—) | 🇺🇸 美国 (52.8%) |
| 直接访问 / 月 | 265 | 7040 |
| 用户评分 | 4.1 | 4.4 |
| 支持的平台 | 网站 | 网站 |
无需 DevOps 的 AI 辅助应用构建、部署与扩展工作空间
描述你想构建的内容，让工作空间借助 AI 在项目中生成、修改并运行代码。
通过 GitHub 或 Docker 一次操作即可上线，省去手动配置服务器和编写流水线。
从现成的应用模板和加速工具开始，而不必从零搭建常见脚手架。
服务器、扩展和网络由平台处理，团队可以专注产品本身而非平台维护。
在你自己的云中运行的持久化 AI 运行时
任务、追踪与制品可跨基础设施故障存活。运行可派生、恢复并从最后一个成功步骤重放，重试与缓存由运行时统一处理。
具名、带类型并带版本的制品把团队连接起来，血缘图清晰展示某个版本由哪次运行产出、又被哪些下游任务消费。
控制面托管在 Union 云，负载在你自己的 AWS、GCP、Azure 或新云集群上执行，始终处于自有安全边界内。
支持接入 OpenAI、Claude、PydanticAI、CrewAI 等智能体，每一轮都被追踪并在临时容器中沙箱执行，支持 MCP 服务器与人工审批。
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.
从全球市场按秒租用云 GPU
面向 AI 与数据负载的无服务器云基础设施
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.
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.
专项更强为你部署与扩缩容应用的 AI DevOps 工程师
由 PyTorch Lightning 创建团队打造的 AI 云平台
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.
低成本云 GPU：面向 AI 工作负载的按分钟实例与按秒计费沙箱。
低成本云 GPU：面向 AI 工作负载的按分钟实例与按秒计费沙箱。
