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。Union.ai 记录了 17,787 月访问量，增长率为 -28.4%，定价为免费增值，定价请咨询。
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 | fluidstack.io | union.ai |
| 定价模式 | 付费，定价请咨询 | 免费增值，定价请咨询 |
| 月访问量 | 15.46万 (154,620) | 1.78万 (17,787) |
| 月度环比流量变化 | +1.05万 (+7.3%) | -7039 (-28.4%) |
| 主要市场与份额 | 🇺🇸 美国 (95.7%) | 🇺🇸 美国 (52.8%) |
| 直接访问 / 月 | 4.79万 | 7040 |
| 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.
在你自己的云中运行的持久化 AI 运行时
任务、追踪与制品可跨基础设施故障存活。运行可派生、恢复并从最后一个成功步骤重放，重试与缓存由运行时统一处理。
具名、带类型并带版本的制品把团队连接起来，血缘图清晰展示某个版本由哪次运行产出、又被哪些下游任务消费。
控制面托管在 Union 云，负载在你自己的 AWS、GCP、Azure 或新云集群上执行，始终处于自有安全边界内。
支持接入 OpenAI、Claude、PydanticAI、CrewAI 等智能体，每一轮都被追踪并在临时容器中沙箱执行，支持 MCP 服务器与人工审批。
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.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
从全球市场按秒租用云 GPU
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.
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。
