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Claude vs FluidStack
Claude 记录了 1,253,439,413 月访问量，月度环比增长为 +23.8%，定价为免费增值。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。
Anthropic 的前沿 AI 工作空间，由 Claude 5.5 驱动，擅长智能体式编程、分析与细腻写作。
月访问量
12.53亿
月度环比增长率
+23.8%
主要市场
🇺🇸 美国
Claude 记录了 1,253,439,413 月访问量，月度环比增长为 +23.8%，定价为免费增值。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。
Anthropic 的前沿 AI 工作空间，由 Claude 5.5 驱动，擅长智能体式编程、分析与细腻写作。
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 | claude.ai | fluidstack.io |
| 定价模式 | 免费增值 | 付费，定价请咨询 |
| 月访问量 | 12.53亿 (1,253,439,413) | 15.46万 (154,620) |
| 月度环比流量变化 | +2.41亿 (+23.8%) | +1.05万 (+7.3%) |
| 主要市场与份额 | 🇺🇸 美国 (24.5%) | 🇺🇸 美国 (95.7%) |
| 直接访问 / 月 | 9.03亿 | 4.79万 |
| 用户评分 | 4.8 | 4.4 |
| 支持的平台 | 网站 | 网站 |
Anthropic 的前沿 AI 工作空间，由 Claude 5.5 驱动，擅长智能体式编程、分析与细腻写作。
结合前沿的 Claude Opus 5.5 与高速的 Sonnet 5.5，支持可配置的扩展思考、最高 100 万 token 的上下文窗口与 128K token 输出。
Pro、Max 与 Team Premium 方案打包了 Claude Code，可自主执行命令行软件工程、运行测试并在整个代码库范围内重构。
在聊天旁的专属工作空间面板中渲染可交互的实时 Web 应用、可视化图表、电子表格与排版好的 PowerPoint 演示文稿。
让对话基于共享的项目知识库，并通过 MCP 直接连接本地文件系统、GitHub、Slack 与内部数据库。
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.
拥有超大上下文窗口与深度的 Google Workspace 集成，但在细腻的创意写作和代码掌控上稍逊一筹。
拥有超大上下文窗口与深度的 Google Workspace 集成，但在细腻的创意写作和代码掌控上稍逊一筹。
免费 / 开源API 费用显著降低且具备强大的开源推理模型，但消费级聊天界面的精致度稍弱。
Real-time access to live social media data and rapid image generation, but less reliable for technical coding tasks.
专项更强Unified document management and structured database workflows with built-in AI, but less powerful standalone LLM reasoning.
专项更强Fully autonomous agent executing complex multi-step web tasks, but less suited for conversational brainstorming and iterative writing.
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。
