# FluidStack

根据 OpenAITools.app 于 2026-11-11 核对的流量数据，FluidStack（fluidstack.io）是一个收录在 AI Developer Tools 下的 AI 平台，月访问量为 15.46万，月度环比流量变化为 +1.05万（+7.3%）。其主要地理市场为美国（95.7% 流量份额），采用付费，定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 RunPod（288.1万次访问/月），Nebius（114.57万次访问/月），Vast.ai（125.76万次访问/月）。

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.

## 关键遥测与规格

| 指标 | 数值 |
| :--- | :--- |
| 工具名称 | FluidStack |
| 标识 | fluidstack |
| Status | active |
| Origin | official |
| Maintenance | active |
| 官方域名 | fluidstack.io |
| 官网地址 | https://fluidstack.io |
| 分类 | AI Developer Tools, AI Models, Large Language Models (LLMs) |
| 定价模式 | 付费，定价请咨询 |
| 月访问量 | 154,620 |
| 月度环比流量变化 | 10,485 |
| 月度环比增长率 | +7.3% |
| 主要市场 | 美国 |
| 市场份额 | 95.7% |
| 直接访问量 | 47,869 |
| 自然搜索访问 | — |
| 社交访问 | — |
| 推荐访问 | 13,036 |
| 邮件访问 | 5,170 |
| 评价得分 | 4.4 |
| 收藏数 | 1 |
| 支持平台 | 网站 |
| 计费平台 | stripe |
| 属性 | 功能: 网站; 定价: 付费; 定价: 定价请咨询 |
| 标签 | AI 云, GPU 云, NVIDIA GPU, AI 培训, AI 推理, Kubernetes, Slurm, H100, A100, H200, GB200, 机器学习, 深度学习 |

## 概览

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.

## 关键功能与能力

- **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.

## 主要用例

- **Train large models at scale (ML platform engineer):** Reserve large, dedicated GPU clusters for multi-week or multi-month runs where network topology and uninterrupted availability dominate the decision.
- **Serve models in production (Infrastructure lead):** Stand up capacity for serving models in production with managed operations, instead of assembling colocation, power and cooling yourself.
- **Plan power-constrained expansion (AI lab operations):** Work with a partner that can design power generation and cooling alongside compute, so energy availability does not become the bottleneck to scaling.
- **Meet sovereignty and location requirements (Enterprise technology strategist):** Evaluate a dedicated, US-located AI data center option for workloads with data-residency or sovereignty requirements.

## 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

## 常见问题

### How much does FluidStack cost?
FluidStack's website does not publish self-serve instance pricing. Access is arranged through a sales engagement, and the tools directory lists it as a paid, contact-for-pricing product. Teams with large training or inference requirements should reach out directly for a quote.

### Who is FluidStack designed for?
It is aimed at AI labs, model developers and enterprises that need large blocks of GPU capacity for training and inference, from single clusters up to very large multi-site deployments.

### What hardware does FluidStack provide?
The company describes building GPU clusters with modern NVIDIA accelerators for AI training and inference, and its public materials emphasise designing compute, power and cooling from first principles at very large scale.

### Where is FluidStack's infrastructure located?
Its clusters are built and operated in the United States, with supporting manufacturing onshored and off-grid solar being developed to power compute as it scales.

### FluidStack 的月流量和增长趋势如何？
FluidStack 目前每月获得 15.46万访问量，月度环比流量变化为 +1.05万（增长率 +7.3%）。其主要来源市场是美国（95.7% 份额），包括每月 4.79万次直接访问和每月 — 次自然搜索访问。

### FluidStack 免费吗？它的定价模式是什么？
FluidStack 采用付费，定价请咨询定价模式。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. 支持的计费和结账平台包括：stripe。

### 2026 年 FluidStack 的最佳替代方案有哪些？
基于 OpenAITools.app 的分类流量和功能契合度，FluidStack 的前五个替代方案是：1. RunPod（288.1万次访问/月）; 2. Nebius（114.57万次访问/月）; 3. Vast.ai（125.76万次访问/月）; 4. Together AI（164.59万次访问/月）; 5. Modal（119.6万次访问/月）。

### FluidStack 支持哪些平台和核心 AI 能力？
FluidStack 被归类在 AI Developer Tools, AI Models, Large Language Models (LLMs) 下，支持以下平台：网站，其核心能力标签包括：AI 云, GPU 云, NVIDIA GPU, AI 培训, AI 推理, Kubernetes。

## 替代工具

| 工具名称 | 月访问量 | 定价模式 | 对比 |
| :--- | :--- | :--- | :--- |
| [RunPod](https://openaitools.app/zh/tool/runpod) | 2,881,043 | 付费 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-runpod) |
| [Nebius](https://openaitools.app/zh/tool/nebius) | 1,145,711 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-nebius) |
| [Vast.ai](https://openaitools.app/zh/tool/vast-ai) | 1,257,554 | 付费 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-vast-ai) |
| [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | 免费增值，付费 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-together-ai) |
| [Modal](https://openaitools.app/zh/tool/modal-com) | 1,196,021 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-modal-com) |
| [Cerebras](https://openaitools.app/zh/tool/cerebras) | 701,013 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/cerebras-vs-fluidstack) |
| [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | 付费 | [对比](https://openaitools.app/zh/compare/deep-infra-vs-fluidstack) |
| [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | Paid, pay-as-you-go usage-based pricing | [对比](https://openaitools.app/zh/compare/fal-ai-vs-fluidstack) |
| [Cirrascale](https://openaitools.app/zh/tool/cirrascale-com) | 27,190 | 付费 | [对比](https://openaitools.app/zh/compare/cirrascale-com-vs-fluidstack) |
| [TensorDock](https://openaitools.app/zh/tool/tensordock) | 19,689 | 付费 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-tensordock) |
| [Salad](https://openaitools.app/zh/tool/salad-gpu-cloud) | 713,519 | 免费试用，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/fluidstack-vs-salad-gpu-cloud) |
| [Anyscale](https://openaitools.app/zh/tool/anyscale-com) | 49,779 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/anyscale-com-vs-fluidstack) |

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来源：https://openaitools.app/zh/tool/fluidstack