exe.dev 记录了 60,103 月访问量,月度环比增长为 -26.4%,定价为免费增值,付费。Qubinets 记录了 802 月访问量,增长率为 0%,定价为免费增值。

Qubinets is an open-source platform that aims to simplify deploying and managing AI and big-data infrastructure on Kubernetes. Its pitch is to let teams stand up data pipelines, AI agents and cloud-native services without hand-assembling every component, moving from source to running deployment faster. Note: its site could not be reached during our audit, so confirm current status directly.
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | exe.dev | qubinets.com |
| 定价模式 | 免费增值,付费 | 免费增值 |
| 月访问量 | 6.01万 (60,103) | 802 (802) |
| 月度环比流量变化 | -2.16万 (-26.4%) | +802 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (69.4%) | 🇹🇭 泰国 (100%) |
| 直接访问 / 月 | 4.08万 | 334 |
| 用户评分 | 4.3 | 4 |
| 支持的平台 | 网站 | 网站 |

面向开发者与 AI 智能体的云端 Linux 虚拟机
以 root 身份 SSH 登录兼容 Ubuntu 的系统,使用 apt 与 systemd,把机器当作长期运行的服务器使用。
一次性购买 vCPU 与内存,然后在池内按需创建任意数量虚拟机,并快速克隆以并行处理智能体任务。
既能以私有方式暴露内部应用,也能通过 *.exe.xyz 子域名公开,认证与密钥管理由平台处理。
挂载 OpenAI、Anthropic、xAI、Fireworks 或 Deepgram 的密钥,让虚拟机上的智能体自动获得模型访问能力。

Qubinets is an open-source platform that aims to simplify deploying and managing AI and big-data infrastructure on Kubernetes. Its pitch is to let teams stand up data pipelines, AI agents and cloud-native services without hand-assembling every component, moving from source to running deployment faster. Note: its site could not be reached during our audit, so confirm current status directly.
Get AI and big-data workloads running on Kubernetes without wiring every component by hand.
Assemble and manage data pipelines that feed models and analytics workloads.
An open-source core that teams can inspect, extend and self-host.
Build and run AI agents alongside your infrastructure rather than as a separate silo.
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

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。