FluidStack: Focuses on large-scale enterprise GPU clusters for training, rather than lightweight consumer container workloads. FluidStack 记录了 154,620 月访问量，月度环比增长为 +7.3%，定价为付费，定价请咨询。Salad 记录了 713,519 月访问量，增长率为 +10.4%，定价为免费试用，付费，定价请咨询。
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.
| 维度 / 指标 | |  |
|---|---|---|
| 官方域名 | fluidstack.io | salad.com |
| 定价模式 | 付费，定价请咨询 | 免费试用，付费，定价请咨询 |
| 月访问量 | 15.46万 (154,620) | 71.35万 (713,519) |
| 月度环比流量变化 | +1.05万 (+7.3%) | +6.75万 (+10.4%) |
| 主要市场与份额 | 🇺🇸 美国 (95.7%) | 🇺🇸 美国 (40.9%) |
| 直接访问 / 月 | 4.79万 | 44.09万 |
| 用户评分 | 4.4 | 4.3 |
| 支持的平台 | 网站 | 网站 |
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 designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds.
Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
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。
专项更强Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
专项更强Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
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。
提供价格更低廉的广泛 P2P GPU 市场，但需要较多手动配置。
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。
提供企业级 NVIDIA GPU 集群与托管式 ML 工具，但专业价格定位较高。
专项更强采用独家晶圆级处理器以实现极端的训练速度，有别于标准的 NVIDIA GPU 集群设置。
专项更强Offers extremely cheap serverless model hosting via API, but does not provide raw containerized GPU instances.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
Features second-billed persistent SSH GPU instances, but lacks a distributed consumer hardware backbone.
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
