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。Intercom 记录了 4,471,110 月访问量，增长率为 +2.7%，定价为免费试用，付费。
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.
内置原生 AI 智能体的 AI 优先客户服务平台
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | fluidstack.io | intercom.com |
| 定价模式 | 付费，定价请咨询 | 免费试用，付费 |
| 月访问量 | 15.46万 (154,620) | 447.11万 (4,471,110) |
| 月度环比流量变化 | +1.05万 (+7.3%) | +11.79万 (+2.7%) |
| 主要市场与份额 | 🇺🇸 美国 (95.7%) | 🇺🇸 美国 (39%) |
| 直接访问 / 月 | 4.79万 | 357.95万 |
| 用户评分 | 4.4 | 4.5 |
| 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.
内置原生 AI 智能体的 AI 优先客户服务平台
专为客服训练的 AI 智能体，可在所有渠道处理常规问题乃至日益复杂的多步查询。
在线聊天、邮件、电话与消息对话汇入同一个共享收件箱，工单系统为跨团队协作而设计。
主动呈现来自已连接系统的上下文，并直接在对话界面内完成行政类工作。
集中管理并衡量支撑 AI 与自助服务的内容，给出待修复项建议并支持一键执行。
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.
提供灵活的按需 GPU 租赁和无服务器端点，但缺乏 FluidStack 那样的超大规模企业级 GPU 集群。
专项更强专注于优化的无服务器推理 API 和托管模型托管，而不是单纯的裸集群租赁。
将庞大的社交消息渠道整合至单一收件箱，但内置的自主 AI 代理训练功能相对不够成熟。
提供强大的共享收件箱与实时聊天工具，但企业级 AI 生态系统比 Intercom 稍显轻量。
提供用于低成本实验的点对点 GPU 租赁市场，不过企业级基础设施的可预测性相对较低。
专项更强提供用于云端任务的无服务器 Python 容器运行环境，但缺乏原始多节点集群的部署控制。
专项更强提供用于云端任务的无服务器 Python 容器运行环境，但缺乏原始多节点集群的部署控制。
提供专属的 NVIDIA GPU 集群和托管云基础设施，直接在企业级训练工作负载上展开竞争。
提供专属的 NVIDIA GPU 集群和托管云基础设施，直接在企业级训练工作负载上展开竞争。
免费 / 开源编排全球闲置消费级 GPU 的分布式 GPU 云
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。
