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Sesterce Cloud vs Thunder Compute
Sesterce Cloud 记录了 2,158 月访问量，月度环比增长为 -82%，定价为付费。Thunder Compute 记录了 102,147 月访问量，增长率为 -29%，定价为 Paid (per-minute instances, per-second sandboxes)。
Sesterce Cloud 记录了 2,158 月访问量，月度环比增长为 -82%，定价为付费。Thunder Compute 记录了 102,147 月访问量，增长率为 -29%，定价为 Paid (per-minute instances, per-second sandboxes)。
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。
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | cloud.sesterce.com | thundercompute.com |
| 定价模式 | 付费 | Paid (per-minute instances, per-second sandboxes) |
| 月访问量 | 2158 (2,158) | 10.21万 (102,147) |
| 月度环比流量变化 | -9802 (-82%) | -4.17万 (-29%) |
| 主要市场与份额 | 🇳🇱 荷兰 (98.5%) | 🇺🇸 美国 (53.5%) |
| 直接访问 / 月 | 594 | 4.07万 |
| 用户评分 | 4.3 | 4.4 |
| 支持的平台 | 网站 | 网站 |
按小时租用欧洲高性能 GPU，用于 AI 与 HPC
从公开目录中选择 H200、H100、A100、GAUDI2、RTX 与 L40S，数分钟内即可部署单卡或多卡实例。
为大型训练预留具备独立 vRAM、vCPU 与 RAM 的裸金属节点和多卡集群。
每个 GPU 等级都列出每小时费率与可用区域，让你在启动前比较成本。
挂载持久化卷、使用已文档化的 API，并在单一 Web 控制台管理全部资源。
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。
开通 RTX A6000、L40、A100 80GB 或 H100 SXM 机器，通常几分钟内即可 SSH 登录，只在运行时计费。
启动带或不带 GPU 的隔离 Ubuntu 虚拟机，用于 RL rollout、评估与 CI，按秒计费，任务之间可缩容至零。
CLI、VS Code 扩展、MCP 服务器与 REST API，让你能从终端、编辑器、AI Agent 或自有服务驱动基础设施。
将实例磁盘保存为快照并在之后恢复，实验可随时暂停，无需让机器持续运行。
从全球市场按秒租用云 GPU
免费 / 开源面向 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.
免费 / 开源编排全球闲置消费级 GPU 的分布式 GPU 云
免费 / 开源由 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.
代理优先的 GPU 云：在终端或 API 中按秒租用 NVIDIA 算力
面向训练与推理工作负载的私有 AI 云
按需租用云 GPU，价格比主流云最多低 80%
