# FluidStack vs Trelent 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。Trelent 记录了 0 月访问量，增长率为 0%，定价为定价请咨询。 | 指标 | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | [Trelent](https://openaitools.app/zh/tool/trelent) | | :--- | :--- | :--- | | 官网地址 | https://fluidstack.io | https://www.trelent.com | | 分类 | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Developer Tools, AI 咨询, Large Language Models (LLMs), AI Workflow | | 定价模式 | 付费，定价请咨询 | 定价请咨询 | | 月访问量 | 154,620 | 0 | | 月度环比增长率 | +7.3% | 0% | | 主要市场 | 美国 | 全球 | | 直接访问量 | 47,869 | 0 | | 评价得分 | 4.4 | 4.1 | | 收藏数 | 1 | 1 | | 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) ## Trelent Trelent 是面向「最有价值的工作因数据敏感而停滞」的组织打造的私有 AI 平台。它不把员工导向公开聊天机器人，而是把整套架构部署在客户自己的环境中，让机密文档和记录不离开组织边界。 平台分三层。数据接入负责连接文件存储与数据库，转换为可供 AI 使用的上下文；智能检索按语义而非关键词匹配取回信息；智能体编排串联多步骤流程，让每个步骤都拿到合适的上下文。在此基础上，Trelent 还设有前置部署工程团队，与客户共同构建具体自动化。 典型合作先经过简短的探索阶段，随后是 2 至 4 个月的付费验证期以证明投资回报，之后价格转为绑定成果指标，例如完成入驻的客户数或已处理的案件数。公开的使用场景包括客户入驻、财务报表筛查、法律文档审阅与合规监控。 **定价与套餐:** 需咨询报价。Trelent 采用两阶段模式：先进行 2 至 4 个月的验证项目，按范围约每月一万至两万五千美元，之后转为绑定约定业务指标的成果计价。 - **默认私有部署:** 整套架构在你的环境中运行，敏感数据不离开边界，从第一天起就满足合规要求。 - **数据接入:** 连接文件存储和数据库，由 Trelent 转换为可供 AI 使用的结构化上下文。 - **智能语义检索:** 按语义而非关键词检索，即使不同文档用词不一致也能找到答案。 - **智能体编排:** 串联多步骤 AI 流程，在恰当时机提供恰当上下文，而不是依赖单次浅层提示。 - **前置部署工程支持:** 由 Trelent 自有工程师与你的团队共同构建并迁移自动化流程。 **优势:** 自托管架构，适合对数据驻留与保密有严格规定的受监管行业; 平台软件搭配前置部署团队的落地工程支持; 价格模型利益一致：证明投资回报后转为成果指标计价; 三层架构（接入、语义检索、编排）为多步骤流程设计，而非单次提示 **局限:** 没有自助注册或公开价目表，必须预约沟通; 公开的入门月费为一万至两万五千美元，小团队难以承受; 在转为成果计价前，需先投入 2 至 4 个月的验证期 [工具详情（Markdown）](https://openaitools.app/zh/tool/trelent.md) ## 常见问题 ### FluidStack 和 Trelent 在月流量上如何比较？ FluidStack 有 154,620 月访问量，而 Trelent 有 0。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%；Trelent 为 0%。 ### 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. Trelent: 定价请咨询。需咨询报价。Trelent 采用两阶段模式：先进行 2 至 4 个月的验证项目，按范围约每月一万至两万五千美元，之后转为绑定约定业务指标的成果计价。 ## 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 | 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) | | 5 | [Modal](https://openaitools.app/zh/tool/modal-com) | 1,196,021 | +30.2% | 免费增值，定价请咨询 | 面向 AI 与数据负载的无服务器云基础设施 | [.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 | 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) | | 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-trelent 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)