Actcast 记录了 585 月访问量，月度环比增长为 -59.9%，定价为定价请咨询。FluidStack 记录了 154,620 月访问量，增长率为 +7.3%，定价为付费，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 | actcast.io | fluidstack.io |
| 定价模式 | 定价请咨询 | 付费，定价请咨询 |
| 月访问量 | 585 (585) | 15.46万 (154,620) |
| 月度环比流量变化 | -875 (-59.9%) | +1.05万 (+7.3%) |
| 主要市场与份额 | 🇯🇵 日本 (100%) | 🇺🇸 美国 (95.7%) |
| 直接访问 / 月 | 200 | 4.79万 |
| 用户评分 | 4.1 | 4.4 |
| 支持的平台 | 网站 | 网站 |
用边缘 AI 感知把物理世界连接到网络
在 Raspberry Pi 等本地边缘设备上运行已训练模型，事件在本地检测，只把元数据继续上传。
感知应用被打包成 Act，可以发布、发现并安装到已注册的设备上。
集中式控制台可跨单个或多个场所注册、组织和监控设备与分组。
检测到的事件可通过 webhook 和 API 推送到你自己的服务，方便把 Actcast 接入现有应用。
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.
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。
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。
专项更强Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals.
免费 / 开源在云端零配置运行原生 ComfyUI，享受高速 GPU 与一键无服务器 API
免费 / 开源在云端零配置运行原生 ComfyUI，享受高速 GPU 与一键无服务器 API
免费 / 开源由 PyTorch Lightning 创建团队打造的 AI 云平台
