# FluidStack vs Sesterce Cloud FluidStack 每月有 154,620 次造訪，月增率 +7.3%，定價模式為付費、需聯絡報價。Sesterce Cloud 每月有 2,158 次造訪，成長率 -82%，定價模式為付費。 | 指標 | [FluidStack](https://openaitools.app/tw/tool/fluidstack) | [Sesterce Cloud](https://openaitools.app/tw/tool/sesterce-cloud) | | :--- | :--- | :--- | | 網站網址 | https://fluidstack.io | https://cloud.sesterce.com | | 分類 | AI 開發者工具, AI 模型, Large Language Models (LLMs) | AI 開發者工具 | | 定價模式 | 付費、需聯絡報價 | 付費 | | 每月造訪次數 | 154,620 | 2,158 | | 月成長率 | +7.3% | -82% | | 主要市場 | 美國 | 荷蘭 | | 直接造訪 | 47,869 | 594 | | 評論分數 | 4.4 | 4.3 | | 收藏數 | 1 | 0 | | 支援平台 | 網站 | 網站 | ## FluidStack 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. **價格與方案:** Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. - **Datacenter-scale compute built in-house:** 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. - **GPU clusters for training and inference:** Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads. - **Power and cooling engineered together:** The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems. - **Managed operations and reliability:** Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers. - **US-built and onshored supply chain:** Data centers are built in the United States with onshored manufacturing of compute and power infrastructure, a deliberate supply-chain and sovereignty choice. **優勢:** Purpose-built AI infrastructure rather than generic cloud resale; Power, cooling and data center design handled in-house, which matters at scale; Managed provisioning and operations for large training and inference clusters; Explicit positioning on US-built, onshored infrastructure **限制:** No published self-serve pricing or instant sign-up; access requires a sales conversation; Enterprise-scale focus means very small individual workloads may not be a fit; Capacity is concentrated in US locations, which may matter for latency-sensitive or data-residency-bound teams [Profile (Markdown)](https://openaitools.app/tw/tool/fluidstack.md) ## Sesterce Cloud Sesterce Cloud 是專注 GPU 的雲端平台，讓團隊以每小時計費租用高效能加速卡，而不必自行購買硬體。型錄涵蓋資料中心級與消費級 GPU，包括 H200、H100、A100（40GB 與 80GB）、GAUDI2、RTX Pro 6000、RTX 5090、RTX 4090、L40/L40S、A6000、A5000、A4000、A40、L4、A10、V100 等，並提供純 CPU 執行個體處理較輕量工作。 除單機外，平台支援裸機伺服器、競價方案與多 GPU 叢集配置，例如 8x H100、8x A100、1x 至 8x RTX 5090、8x GAUDI2，並列出合計 vRAM、vCPU 與系統 RAM。價格以運算時數呈現，持久化磁碟區可保留資料集與檢查點。文件與 API 參考支援程式化佈建。 其定位是相對超大規模雲的歐洲高效能、重視能源效率的替代方案，面向 AI 訓練、推論、生成式 AI 與 HPC。由於硬體、區域與每小時費率同時公開，適合希望在投入前比較成本與地點的團隊。 **價格與方案:** 標準執行個體採免綁約的每小時隨需計費，運算頁面公開各 GPU 型號費率。叢集與裸機配置依合計硬體報價。最新費率請以平台為準。 - **隨需 GPU 執行個體:** 從公開型錄中選用 H200、H100、A100、GAUDI2、RTX 與 L40S，數分鐘內部署單卡或多卡執行個體。 - **裸機與叢集:** 為大型訓練預留具備專屬 vRAM、vCPU 與 RAM 的裸機節點與多 GPU 叢集。 - **透明每小時定價:** 每個 GPU 等級都列出每小時費率與可用區域，讓你在啟動前比較成本。 - **持久儲存與 API:** 掛載持久化磁碟區、使用已文件化的 API，並在單一網頁主控台管理全部資源。 - **廣泛硬體選擇:** 依預算與工作負載，在包含 Gaudi 與 RTX 的消費級與資料中心加速卡中選擇。 **優勢:** 從 RTX 消費級顯卡到 H200、GAUDI2 的加速卡選擇豐富; 事前公開的每小時隨需費率; 支援大型訓練的裸機與多 GPU 叢集; 歐洲供應商，提供 API 與文件 [Profile (Markdown)](https://openaitools.app/tw/tool/sesterce-cloud.md) ## 常見問題 ### FluidStack 與 Sesterce Cloud 的每月流量相比如何？ FluidStack 每月有 154,620 次造訪，而 Sesterce Cloud 有 2,158。流量估算反映受眾規模，並非產品品質。 ### 兩者的成長率相比如何？ FluidStack 的月增率為 +7.3%；Sesterce Cloud 為 -82%。 ### 價格相比如何？ FluidStack：付費、需聯絡報價。Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. Sesterce Cloud：付費。標準執行個體採免綁約的每小時隨需計費，運算頁面公開各 GPU 型號費率。叢集與裸機配置依合計硬體報價。最新費率請以平台為準。 ## 替代方案 | # | 工具名稱 | 每月造訪次數 | 月成長率 | 定價模式 | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure. | [.md](https://openaitools.app/tw/tool/fal-ai.md) | | 2 | [RunPod](https://openaitools.app/tw/tool/runpod) | 2,881,043 | +5.9% | 付費 | 面向 AI 開發者的 GPU Pod、Serverless 推論與叢集雲平台 | [.md](https://openaitools.app/tw/tool/runpod.md) | | 3 | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | +64.9% | 免費增值、付費 | 專注於優化的無伺服器推論 API 與託管模型代管，而非單純的裸叢集租賃。 | [.md](https://openaitools.app/tw/tool/together-ai.md) | | 4 | [Vast.ai](https://openaitools.app/tw/tool/vast-ai) | 1,257,554 | +2.8% | 付費 | 從全球市集以秒為單位租用雲端 GPU | [.md](https://openaitools.app/tw/tool/vast-ai.md) | | 5 | [Modal](https://openaitools.app/tw/tool/modal-com) | 1,196,021 | +30.2% | 免費增值、需聯絡報價 | 提供用於雲端作業的無伺服器 Python 容器執行環境，但缺乏裸多節點叢集佈署控制。 | [.md](https://openaitools.app/tw/tool/modal-com.md) | | 6 | [Nebius](https://openaitools.app/tw/tool/nebius) | 1,145,711 | +10.7% | 付費、需聯絡報價 | Nebius is an AI-focused cloud platform that gives teams non-virtualized NVIDIA GPU clusters, managed MLOps tooling, and a serverless inference layer so they can move from experiment to production on one stack. | [.md](https://openaitools.app/tw/tool/nebius.md) | | 7 | [Salad](https://openaitools.app/tw/tool/salad-gpu-cloud) | 713,519 | +10.4% | 免費試用、付費、需聯絡報價 | 編排全球閒置消費級 GPU 的分散式 GPU 雲 | [.md](https://openaitools.app/tw/tool/salad-gpu-cloud.md) | | 8 | [Cerebras](https://openaitools.app/tw/tool/cerebras) | 701,013 | -12.6% | 需聯絡報價 | 採用獨家晶圓級處理器以實現極端訓練速度，有別於標準的 NVIDIA GPU 叢集設置。 | [.md](https://openaitools.app/tw/tool/cerebras.md) | | 9 | [DeepInfra](https://openaitools.app/tw/tool/deep-infra) | 457,810 | -8.9% | 付費 | Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals. | [.md](https://openaitools.app/tw/tool/deep-infra.md) | | 10 | [Lightning AI](https://openaitools.app/tw/tool/lightning-ai) | 272,562 | -12.3% | 免費增值、付費、需聯絡報價 | 由 PyTorch Lightning 創建團隊打造的 AI 雲端平台 | [.md](https://openaitools.app/tw/tool/lightning-ai.md) | --- 來源：https://openaitools.app/tw/compare/fluidstack-vs-sesterce-cloud More Markdown: [分類](https://openaitools.app/tw/categories.md) · [流量排名](https://openaitools.app/tw/rankings.md) · [llms.txt](https://openaitools.app/tw/llms.txt)