# FluidStack vs Mercor 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。Mercor 记录了 14,164,192 月访问量，增长率为 +34%，定价为定价请咨询。 | 指标 | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | [Mercor](https://openaitools.app/zh/tool/mercor-com) | | :--- | :--- | :--- | | 官网地址 | https://fluidstack.io | https://mercor.com | | 分类 | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI 招聘, AI Jobs, AI 面试助手, AI 简历检查 | | 定价模式 | 付费，定价请咨询 | 定价请咨询 | | 月访问量 | 154,620 | 14,164,192 | | 月度环比增长率 | +7.3% | +34% | | 主要市场 | 美国 | 美国 | | 直接访问量 | 47,869 | 7,518,232 | | 评价得分 | 4.4 | 4.4 | | 收藏数 | 1 | 3 | | 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) ## Mercor Mercor 最初是一个 AI 招聘市场，利用机器学习比传统招聘更快地将候选人与远程职位匹配。平台自动完成面试与资质审核，然后把匹配的专业人士分配到从软件、数据工作到专家级任务的各种短期与长期项目中。 随着发展，Mercor 早已超越招聘本身。它现在以“组织人类智能，驱动 AI 经济”为定位，为前沿研究、AI 基准测试和 AI 智能体训练提供大规模基础能力。其企业业务与合作伙伴共同打造行业基准，向前沿实验室提供人工评估能力，并让企业通过匿名化授权将自身工作流数据转化为新的收入来源。 Mercor 报告已创建数十万个职位，专家平均签约时薪约为 90 美元，每日支付金额达数百万美元。它已获得大量风险投资，并与领先 AI 实验室和大型企业合作，既服务寻找灵活付费工作的专家，也服务需要人类数据、评估或 AI 人才的公司。 **定价与套餐:** 专家注册免费，Mercor 不向人才收费。企业和 AI 实验室按定制报价支付数据、基准测试和评估服务费用——详情请联系销售。 - **AI 智能人才匹配:** 基于技能、经验和可用时间的机器学习模型可在数小时而非数周内将候选人与远程职位匹配。 - **自动化专家审核:** AI 驱动的面试与测评在专家被推荐给招聘方之前验证其专业能力。 - **付费专家项目:** 专家参与灵活的远程项目，据报道平均时薪约 90 美元，并获得快速、持续的付款。 - **行业基准构建:** Mercor 与企业合作设计法律、会计、软件工程等 AI 智能体评估基准。 - **企业数据变现:** 企业可向 Mercor 授权匿名化工作流数据，系统自动遮蔽敏感标识，并完全掌控共享内容。 **优势:** AI 驱动匹配速度快，大幅缩短招聘周期; 专家报酬较高，付款频繁且及时; 业务范围超越招聘，涵盖基准、评估与数据变现; 与主要 AI 实验室和企业合作，可信度高 **局限:** 企业价格仅为报价制，前期成本不透明; 项目制工作对部分专家而言收入可能不稳定; 项目供给取决于 AI 实验室和企业伙伴的需求 [工具详情（Markdown）](https://openaitools.app/zh/tool/mercor-com.md) ## 常见问题 ### FluidStack 和 Mercor 在月流量上如何比较？ FluidStack 有 154,620 月访问量，而 Mercor 有 14,164,192。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%；Mercor 为 +34%。 ### 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. Mercor: 定价请咨询。专家注册免费，Mercor 不向人才收费。企业和 AI 实验室按定制报价支付数据、基准测试和评估服务费用——详情请联系销售。 ## 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 | [Workable](https://openaitools.app/zh/tool/workable) | 10,780,627 | +5.5% | 免费试用，付费 | Offers robust general HR and recruiting tools with native AI agents, but lacks Mercor's specialized expert network. | [.md](https://openaitools.app/zh/tool/workable.md) | | 2 | [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) | | 3 | [RunPod](https://openaitools.app/zh/tool/runpod) | 2,881,043 | +5.9% | 付费 | 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。 | [.md](https://openaitools.app/zh/tool/runpod.md) | | 4 | [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) | | 5 | [Vast.ai](https://openaitools.app/zh/tool/vast-ai) | 1,257,554 | +2.8% | 付费 | 提供用于低成本实验的点对点 GPU 租赁市场，不过企业级基础设施的可预测性相对较低。 | [.md](https://openaitools.app/zh/tool/vast-ai.md) | | 6 | [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) | | 7 | [Nebius](https://openaitools.app/zh/tool/nebius) | 1,145,711 | +10.7% | 付费，定价请咨询 | 提供专属的 NVIDIA GPU 集群和托管云基础设施，直接在企业级训练工作负载上展开竞争。 | [.md](https://openaitools.app/zh/tool/nebius.md) | | 8 | [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) | | 9 | [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) | | 10 | [Scale](https://openaitools.app/zh/tool/scale) | 616,915 | +12.5% | 定价请咨询 | Supplies enterprise AI training data and expert model evaluations, operating on the infrastructure side of AI labs. | [.md](https://openaitools.app/zh/tool/scale.md) | --- 来源：https://openaitools.app/zh/compare/fluidstack-vs-mercor-com 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)