# FluidStack vs Sesterce Cloud 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。Sesterce Cloud 记录了 2,158 月访问量，增长率为 -82%，定价为付费。 | 指标 | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | [Sesterce Cloud](https://openaitools.app/zh/tool/sesterce-cloud) | | :--- | :--- | :--- | | 官网地址 | https://fluidstack.io | https://cloud.sesterce.com | | 分类 | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Developer Tools | | 定价模式 | 付费，定价请咨询 | 付费 | | 月访问量 | 154,620 | 2,158 | | 月度环比增长率 | +7.3% | -82% | | 主要市场 | 美国 | 荷兰 | | 直接访问量 | 47,869 | 594 | | 评价得分 | 4.4 | 4.3 | | 收藏数 | 1 | 0 | | 支持平台 | 网站 | 网站 | ## 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. **定价与套餐:** 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. **优势:** 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 **局限:** 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 [工具详情（Markdown）](https://openaitools.app/zh/tool/fluidstack.md) ## Sesterce Cloud Sesterce Cloud 是专注 GPU 的云平台，让团队按小时租用高性能加速卡，而不必自行采购硬件。其目录涵盖数据中心级与消费级 GPU，包括 H200、H100、A100（40GB 与 80GB）、GAUDI2、RTX Pro 6000、RTX 5090、RTX 4090、L40/L40S、A6000、A5000、A4000、A40、L4、A10、V100 等，并提供纯 CPU 实例处理较轻任务。 除单机之外，平台支持裸金属服务器、竞价方案和多卡集群配置，例如 8x H100、8x A100、1x 至 8x RTX 5090、8x GAUDI2，并列出合计 vRAM、vCPU 与系统 RAM。价格按计算小时展示，持久化卷可在会话之间保留数据集和检查点。文档与 API 参考支持程序化开通。 其定位是相对于超大规模云厂商 GPU 容量的欧洲高性能、注重能效的替代方案，面向 AI 训练、推理、生成式 AI 与 HPC。由于硬件、区域与每小时费率同时公开，适合希望在投入前比较成本与位置的团队。 **定价与套餐:** 标准实例采用无承诺的每小时按需计费，计算页面公开各 GPU 型号费率。集群与裸金属配置按合计硬件报价。最新费率请以平台为准。 - **按需 GPU 实例:** 从公开目录中选择 H200、H100、A100、GAUDI2、RTX 与 L40S，数分钟内即可部署单卡或多卡实例。 - **裸金属与集群:** 为大型训练预留具备独立 vRAM、vCPU 与 RAM 的裸金属节点和多卡集群。 - **透明的每小时定价:** 每个 GPU 等级都列出每小时费率与可用区域，让你在启动前比较成本。 - **持久存储与 API:** 挂载持久化卷、使用已文档化的 API，并在单一 Web 控制台管理全部资源。 - **广泛的硬件选择:** 按预算与工作负载，在包含 Gaudi 与 RTX 的消费级和数据中心加速卡中选择。 **优势:** 从 RTX 消费级显卡到 H200、GAUDI2，加速卡选择丰富; 事前公开的每小时按需价格; 支持大型训练的裸金属与多卡集群; 欧洲供应商，提供 API 与文档 [工具详情（Markdown）](https://openaitools.app/zh/tool/sesterce-cloud.md) ## 常见问题 ### FluidStack 和 Sesterce Cloud 在月流量上如何比较？ FluidStack 有 154,620 月访问量，而 Sesterce Cloud 有 2,158。流量估算描述的是受众规模，而非产品质量。 ### 它们的增长率如何比较？ FluidStack 的月度环比增长率为 +7.3%；Sesterce Cloud 为 -82%。 ### 价格如何比较？ FluidStack: 付费，定价请咨询。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: 付费。标准实例采用无承诺的每小时按需计费，计算页面公开各 GPU 型号费率。集群与裸金属配置按合计硬件报价。最新费率请以平台为准。 ## 替代工具 | # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [fal.ai](https://openaitools.app/zh/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/zh/tool/fal-ai.md) | | 2 | [RunPod](https://openaitools.app/zh/tool/runpod) | 2,881,043 | +5.9% | 付费 | 面向 AI 开发者的 GPU Pod、Serverless 推理与集群云平台 | [.md](https://openaitools.app/zh/tool/runpod.md) | | 3 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 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。 | [.md](https://openaitools.app/zh/tool/together-ai.md) | | 4 | [Vast.ai](https://openaitools.app/zh/tool/vast-ai) | 1,257,554 | +2.8% | 付费 | 从全球市场按秒租用云 GPU | [.md](https://openaitools.app/zh/tool/vast-ai.md) | | 5 | [Modal](https://openaitools.app/zh/tool/modal-com) | 1,196,021 | +30.2% | 免费增值，定价请咨询 | 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。 | [.md](https://openaitools.app/zh/tool/modal-com.md) | | 6 | [Nebius](https://openaitools.app/zh/tool/nebius) | 1,145,711 | +10.7% | 付费，定价请咨询 | 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/zh/tool/nebius.md) | | 7 | [Salad](https://openaitools.app/zh/tool/salad-gpu-cloud) | 713,519 | +10.4% | 免费试用，付费，定价请咨询 | 编排全球闲置消费级 GPU 的分布式 GPU 云 | [.md](https://openaitools.app/zh/tool/salad-gpu-cloud.md) | | 8 | [Cerebras](https://openaitools.app/zh/tool/cerebras) | 701,013 | -12.6% | 定价请咨询 | 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。 | [.md](https://openaitools.app/zh/tool/cerebras.md) | | 9 | [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | -8.9% | 付费 | Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals. | [.md](https://openaitools.app/zh/tool/deep-infra.md) | | 10 | [Lightning AI](https://openaitools.app/zh/tool/lightning-ai) | 272,562 | -12.3% | 免费增值，付费，定价请咨询 | 由 PyTorch Lightning 创建团队打造的 AI 云平台 | [.md](https://openaitools.app/zh/tool/lightning-ai.md) | --- 来源：https://openaitools.app/zh/compare/fluidstack-vs-sesterce-cloud 更多 Markdown 页面: [分类](https://openaitools.app/zh/categories.md) · [流量排名](https://openaitools.app/zh/rankings.md) · [llms.txt](https://openaitools.app/zh/llms.txt)