# FluidStack vs Lightning AI（原 Grid.ai） 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。Lightning AI（原 Grid.ai）记录了 10,313 月访问量，增长率为 -1.8%，定价为 Usage-based / Contact for Pricing。 | 指标 | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | [Lightning AI（原 Grid.ai）](https://openaitools.app/zh/tool/grid-ai) | | :--- | :--- | :--- | | 官网地址 | https://fluidstack.io | https://grid.ai | | 分类 | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Developer Tools, AI Research Tool | | 定价模式 | 付费，定价请咨询 | Usage-based / Contact for Pricing | | 月访问量 | 154,620 | 10,313 | | 月度环比增长率 | +7.3% | -1.8% | | 主要市场 | 美国 | 美国 | | 直接访问量 | 47,869 | 4,107 | | 评价得分 | 4.4 | 4.4 | | 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) ## Lightning AI（原 Grid.ai） Lightning AI 面向希望端到端掌控自有模型的 AI 团队，而不是单纯租用通用算力。它将有保障的按需 GPU 资源（H200、B200、H100、A100 和 L4 实例）与交互式原型开发环境、并行实验以及大规模预训练和后期训练整合在一起。 该产品过去以 Grid.ai 之名运营，如今同一平台沿用 Lightning AI 品牌，仍是 PyTorch Lightning 生态的一部分。除算力外，Lightning 还提供 AI 编程智能体、数据集工具、模型评估和推理能力，让团队无需拼凑多家供应商即可从原始数据走到已部署的专用模型。 企业级管控涵盖 SSO 与基于角色的访问、审计日志、细粒度数据权限、SOC2 与 HIPAA 合规对齐、传输与静态加密，并支持私有云、VPC 或自带云（Kubernetes、Slurm）。新用户通常可获得一定的免费 GPU 小时额度。 **定价与套餐:** 按用量计费，公开 GPU 小时单价（例如 H200 实例约 4.50 美元/小时起）。企业与团队方案需联系销售报价，并常提供免费起步 GPU 时长。 - **按需 GPU 集群:** 自助获取 H200、B200、H100、A100 和 L4 GPU，保障可用性且无需长期合约。 - **交互式模型开发:** 在浏览器或通过 SSH 在云端 GPU 上编码、调试和优化模型，并支持团队共享工作空间。 - **并行实验与训练:** 同时运行数百个实验、对比训练结果，并扩展到多节点 GPU 集群进行预训练。 - **企业级治理:** SSO、基于角色的访问、审计日志、细粒度数据管控、SOC2 与 HIPAA 对齐，以及私有云和 VPC 部署。 - **自带云（BYOC）:** 在自有 Kubernetes 或 Slurm 上运行工作负载，并支持弹性多云迁移。 **优势:** 作为 PyTorch Lightning 团队出品，技术可信度高; GPU 型号丰富，小时单价透明; 具备真正的企业功能：SSO、审计日志、HIPAA/SOC2、自带云; 从数据准备到推理的一体化路径 **局限:** 按用量计费，若不监控则成本较难预测; 最完善的企业选项需联系销售沟通; 平台深度更适合具备真实机器学习工程经验的团队 [工具详情（Markdown）](https://openaitools.app/zh/tool/grid-ai.md) ## 常见问题 ### FluidStack 和 Lightning AI（原 Grid.ai）在月流量上如何比较？ FluidStack 有 154,620 月访问量，而 Lightning AI（原 Grid.ai）有 10,313。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%；Lightning AI（原 Grid.ai）为 -1.8%。 ### 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. Lightning AI（原 Grid.ai）: Usage-based / Contact for Pricing。按用量计费，公开 GPU 小时单价（例如 H200 实例约 4.50 美元/小时起）。企业与团队方案需联系销售报价，并常提供免费起步 GPU 时长。 ## 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 | 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 | 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-grid-ai 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)