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。
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.
由 PyTorch Lightning 团队打造的按需 GPU 云与企业级 AI 基础设施。
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | fluidstack.io | grid.ai |
| 定价模式 | 付费，定价请咨询 | Usage-based / Contact for Pricing |
| 月访问量 | 15.46万 (154,620) | 1.03万 (10,313) |
| 月度环比流量变化 | +1.05万 (+7.3%) | -192 (-1.8%) |
| 主要市场与份额 | 🇺🇸 美国 (95.7%) | 🇺🇸 美国 (50.5%) |
| 直接访问 / 月 | 4.79万 | 4107 |
| 用户评分 | 4.4 | 4.4 |
| 支持的平台 | 网站 | 网站 |
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.
由 PyTorch Lightning 团队打造的按需 GPU 云与企业级 AI 基础设施。
自助获取 H200、B200、H100、A100 和 L4 GPU，保障可用性且无需长期合约。
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。
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。
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。
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.
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。
从全球市场按秒租用云 GPU
免费 / 开源面向 AI 与数据负载的无服务器云基础设施
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.
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.
免费 / 开源编排全球闲置消费级 GPU 的分布式 GPU 云
专项更强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。
专项更强Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals.
免费 / 开源由 PyTorch Lightning 创建团队打造的 AI 云平台
低成本云 GPU：面向 AI 工作负载的按分钟实例与按秒计费沙箱。
低成本云 GPU：面向 AI 工作负载的按分钟实例与按秒计费沙箱。
代理优先的 GPU 云：在终端或 API 中按秒租用 NVIDIA 算力
