Actcast 每月有 585 次造訪，月增率 -59.9%，定價模式為需聯絡報價。FluidStack 每月有 154,620 次造訪，成長率 +7.3%，定價模式為付費、需聯絡報價。
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.
| 面向／指標 | | |
|---|---|---|
| 官方網域 | actcast.io | fluidstack.io |
| 定價模式 | 需聯絡報價 | 付費、需聯絡報價 |
| 每月造訪次數 | 585 (585) | 15.46萬 (154,620) |
| 月流量變化量 | -875 (-59.9%) | +1.05萬 (+7.3%) |
| 主要市場與市佔 | 🇯🇵 日本 (100%) | 🇺🇸 美國 (95.7%) |
| 每月直接造訪 | 200 | 4.79萬 |
| 使用者評分 | 4.1 | 4.4 |
| 支援平台 | 網站 | 網站 |
用邊緣 AI 感知把實體世界連上網路
在 Raspberry Pi 等本地邊緣裝置上執行已訓練模型，事件在本地偵測，只把中繼資料繼續上傳。
感知應用被打包為 Act，可發布、探索並安裝到已註冊的裝置。
集中式主控台可跨單一或多個場域註冊、組織與監控裝置和群組。
偵測到的事件可透過 webhook 與 API 推送到你自己的服務，方便把 Actcast 接進現有應用。
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.
專項更強Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
專項更強Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals.
免費 / 開源在雲端零設定執行原生 ComfyUI，享受高速 GPU 與一鍵無伺服器 API
免費 / 開源在雲端零設定執行原生 ComfyUI，享受高速 GPU 與一鍵無伺服器 API
免費 / 開源由 PyTorch Lightning 創建團隊打造的 AI 雲端平台
