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boat vs Union.ai
boat 记录了 66,870 月访问量，月度环比增长为 +520.8%，定价为免费试用，付费。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。
boat 记录了 66,870 月访问量，月度环比增长为 +520.8%，定价为免费试用，付费。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。
为 AI 智能体工厂打造的持久化 Ubuntu 云虚拟机
每个沙箱都是完整的 Ubuntu 机器，含 systemd、Docker、数据库与 cron，凡是能在 Linux 上运行的都能运行。
从磁盘快照在数秒内克隆已配置的沙箱，快速铺开大量完全一致的并行智能体。
通过 SSH 和 SCP 连接，或打开 60fps 虚拟桌面与浏览器来查看 Web 应用、IDE 和 3D 场景。
通过 boat CLI（支持 --json 输出）、HTTP API 或 Python 与 TypeScript SDK 以程序化方式驱动全部功能。
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.
为 AI 智能体提供的云浏览器与网页 API
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。
