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Salad vs Sesterce Cloud
Salad 记录了 713,519 月访问量，月度环比增长为 +10.4%，定价为免费试用，付费，定价请咨询。Sesterce Cloud 记录了 2,158 月访问量，增长率为 -82%，定价为付费。
Salad 记录了 713,519 月访问量，月度环比增长为 +10.4%，定价为免费试用，付费，定价请咨询。Sesterce Cloud 记录了 2,158 月访问量，增长率为 -82%，定价为付费。
按小时租用欧洲高性能 GPU，用于 AI 与 HPC
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | salad.com | cloud.sesterce.com |
| 定价模式 | 免费试用，付费，定价请咨询 | 付费 |
| 月访问量 | 71.35万 (713,519) | 2158 (2,158) |
| 月度环比流量变化 | +6.75万 (+10.4%) | -9802 (-82%) |
| 主要市场与份额 | 🇺🇸 美国 (40.9%) | 🇳🇱 荷兰 (98.5%) |
| 直接访问 / 月 | 44.09万 | 594 |
| 用户评分 | 4.3 | 4.3 |
| 支持的平台 | 网站 | 网站 |
编排全球闲置消费级 GPU 的分布式 GPU 云
在数千个分布式 GPU 节点上调度、监控并重新分配 Docker/OCI 工作负载，节点消失时自动故障转移。
按需访问覆盖 190 多个国家的闲置消费级 GPU 分布式算力池，优先定价约从每小时 0.015 美元起。
面向开源权重模型的托管 token 端点，按 token 计费，你的数据不会被用于训练。
在组织内部运行同一套编排栈，把闲置工作站 GPU 汇聚成内部兼容 OpenAI 的服务。
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。
专项更强专门提供开源模型的托管式无服务器推理 API，而非单纯租赁 GPU 基础设施。
从全球市场按秒租用云 GPU
专项更强为 AI 流水线提供轻松的 Python 无服务器执行，但专注于 Function-as-a-Service 而非裸机虚拟机。
专项更强为 AI 流水线提供轻松的 Python 无服务器执行，但专注于 Function-as-a-Service 而非裸机虚拟机。
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Offers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
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.
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。
代理优先的 GPU 云：在终端或 API 中按秒租用 NVIDIA 算力
专项更强Scales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
专项更强Scales distributed Ray workloads effortlessly across clusters, but is tailored for heavy data engineering and training.
面向训练与推理工作负载的私有 AI 云
