# FluidStack vs Together 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。Together AI 记录了 1,645,930 月访问量，增长率为 +64.9%，定价为免费增值，付费。

| 指标 | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | [Together AI](https://openaitools.app/zh/tool/together-ai) |
| :--- | :--- | :--- |
| 官网地址 | https://fluidstack.io | https://www.together.ai |
| 分类 | AI Developer Tools, AI Models, Large Language Models (LLMs) | AI Developer Tools, AI API, AI Models, Open Source AI Models |
| 定价模式 | 付费，定价请咨询 | 免费增值，付费 |
| 月访问量 | 154,620 | 1,645,930 |
| 月度环比增长率 | +7.3% | +64.9% |
| 主要市场 | 美国 | 美国 |
| 直接访问量 | 47,869 | 882,212 |
| 评价得分 | 4.4 | 4.7 |
| 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)

## Together AI

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.

**定价与套餐:** Freemium, Paid

**局限:** Serverless pricing varies widely by model, so cost forecasting takes care; Heavy GPU-cluster and high-throughput workloads still require sales contact; Broad surface area (inference, GPU, fine-tuning, sandboxes, storage) can feel complex for beginners; Some newest models are marked experimental or preview and may change

[工具详情（Markdown）](https://openaitools.app/zh/tool/together-ai.md)

## 常见问题

### FluidStack 和 Together AI 在月流量上如何比较？

FluidStack 有 154,620 月访问量，而 Together AI 有 1,645,930。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%；Together AI 为 +64.9%。

### 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. Together AI: 免费增值，付费。Freemium, Paid

## 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 | [OpenAI 平台](https://openaitools.app/zh/tool/openai) | 234,678,639 | -9.6% | 付费 | Provides industry-leading proprietary frontier models and enterprise reliability, but completely lacks support for open-weight community models. | [.md](https://openaitools.app/zh/tool/openai.md) |
| 2 | [Google AI Studio](https://openaitools.app/zh/tool/google-ai-studio) | 112,620,020 | +2% | 免费增值 | Restricts API usage strictly to Gemini models, offering free prototyping tiers but lacking open-source model variety. | [.md](https://openaitools.app/zh/tool/google-ai-studio.md) |
| 3 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | 通过单一 API 整合了数百种模型，提供比 Together AI 托管阵容更丰富的模型选择。 | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) |
| 4 | [Groq](https://openaitools.app/zh/tool/groq) | 3,987,936 | +10% | 付费 | 通过专用硬件提供快得多的 Token 生成速度，但模型选择较为有限。 | [.md](https://openaitools.app/zh/tool/groq.md) |
| 5 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 一个 API 接入 1500+ 生产级生成式媒体模型 | [.md](https://openaitools.app/zh/tool/fal-ai.md) |
| 6 | [RunPod](https://openaitools.app/zh/tool/runpod) | 2,881,043 | +5.9% | 付费 | 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。 | [.md](https://openaitools.app/zh/tool/runpod.md) |
| 7 | [Vast.ai](https://openaitools.app/zh/tool/vast-ai) | 1,257,554 | +2.8% | 付费 | 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。 | [.md](https://openaitools.app/zh/tool/vast-ai.md) |
| 8 | [Modal](https://openaitools.app/zh/tool/modal-com) | 1,196,021 | +30.2% | 免费增值，定价请咨询 | 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。 | [.md](https://openaitools.app/zh/tool/modal-com.md) |
| 9 | [Nebius](https://openaitools.app/zh/tool/nebius) | 1,145,711 | +10.7% | 付费，定价请咨询 | 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。 | [.md](https://openaitools.app/zh/tool/nebius.md) |
| 10 | [Replicate AI](https://openaitools.app/zh/tool/replicate-ai) | 904,038 | -8.4% | 付费 | 除了标准文字 LLM 外，还高度专注于部署自定义机器学习模型与媒体生成管线。 | [.md](https://openaitools.app/zh/tool/replicate-ai.md) |

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来源：https://openaitools.app/zh/compare/fluidstack-vs-together-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)