Denvr AI Cloud 记录了 0 月访问量，月度环比增长为 0%，定价为 Pay-as-you-go (per-minute GPU billing) with reserved contracts and startup credits。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。
面向 AI 训练与推理的加拿大主权 GPU 云
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 | denvrdata.com | fluidstack.io |
| 定价模式 | Pay-as-you-go (per-minute GPU billing) with reserved contracts and startup credits | 付费，定价请咨询 |
| 月访问量 | 0 (0) | 15.46万 (154,620) |
| 月度环比流量变化 | 0 (0%) | +1.05万 (+7.3%) |
| 主要市场与份额 | 🌐 全球 (—) | 🇺🇸 美国 (95.7%) |
| 直接访问 / 月 | 0 | 4.79万 |
| 用户评分 | 4.3 | 4.4 |
| 支持的平台 | 网站 | 网站 |
面向 AI 训练与推理的加拿大主权 GPU 云
可选 NVIDIA B200、GB200、H200、H100、A100、A40 以及 Intel Gaudi 2 与 Gaudi 3 加速卡，AMD MI300X 与 Blackwell 平台支持预约。
在专用 GPU 端点上部署基础模型或自研模型，完全托管并提供兼容 OpenAI 的 API，便于直接替换接入。
训练网络采用最高 3,200 Gbps 的无阻塞 InfiniBand，支持集群扩展至 1,024 张 GPU，并具备租户隔离的 VPC 网络。
预置 Jupyter Notebooks 与 OpenWebUI、机器学习就绪镜像、REST API、CLI，以及用于开通与自动化的 Python 和 Terraform 绑定。
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.
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。
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。
专项更强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。
专项更强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。
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。
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。
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。
