Anyscale 每月有 49,779 次造訪，月增率 -23.2%，定價模式為付費、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 | anyscale.com | fluidstack.io |
| 定價模式 | 付費、需聯絡報價 | 付費、需聯絡報價 |
| 每月造訪次數 | 4.98萬 (49,779) | 15.46萬 (154,620) |
| 月流量變化量 | -1.5萬 (-23.2%) | +1.05萬 (+7.3%) |
| 主要市場與市佔 | 🇺🇸 美國 (35.2%) | 🇺🇸 美國 (95.7%) |
| 每月直接造訪 | 2.86萬 | 4.79萬 |
| 使用者評分 | 4.6 | 4.4 |
| 支援平台 | 網站 | 網站 |
用於擴展 AI 工作負載的託管 Ray 平台
在託管基礎設施上跨數千節點執行 Ray 作業、服務與函式庫，無需自行維運叢集。
編排多 GPU、多節點訓練，內建彈性伸縮、收尾資料處理與 GPU 可觀測能力。
在訓練前建構對影片、圖像、文字與音訊進行下載、過濾與轉換的流水線。
平行化嵌入產生與批次推論，服務搜尋、檢索與後續訓練任務。
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.
專項更強低成本雲端 GPU：面向 AI 工作負載的按分鐘執行個體與按秒計費沙箱。
專項更強低成本雲端 GPU：面向 AI 工作負載的按分鐘執行個體與按秒計費沙箱。
為訓練與推論工作負載打造的私有 AI 雲
