# FluidStack vs Lightning AI（原 Grid.ai）

FluidStack 每月有 154,620 次造訪，月增率 +7.3%，定價模式為付費、需聯絡報價。Lightning AI（原 Grid.ai）每月有 10,313 次造訪，成長率 -1.8%，定價模式為 Usage-based / Contact for Pricing。

| 指標 | [FluidStack](https://openaitools.app/tw/tool/fluidstack) | [Lightning AI（原 Grid.ai）](https://openaitools.app/tw/tool/grid-ai) |
| :--- | :--- | :--- |
| 網站網址 | https://fluidstack.io | https://grid.ai |
| 分類 | AI 開發者工具, AI 模型, Large Language Models (LLMs) | AI 開發者工具, AI 研究工具 |
| 定價模式 | 付費、需聯絡報價 | Usage-based / Contact for Pricing |
| 每月造訪次數 | 154,620 | 10,313 |
| 月成長率 | +7.3% | -1.8% |
| 主要市場 | 美國 | 美國 |
| 直接造訪 | 47,869 | 4,107 |
| 評論分數 | 4.4 | 4.4 |
| 收藏數 | 1 | 0 |
| 支援平台 | 網站 | 網站 |

## 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.

**價格與方案:** 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.

**優勢:** 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

**限制:** 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

[Profile (Markdown)](https://openaitools.app/tw/tool/fluidstack.md)

## Lightning AI（原 Grid.ai）

Lightning AI 鎖定希望端到端掌握自有模型的 AI 團隊，而非只租用通用算力。它把有保障的隨需 GPU 資源（H200、B200、H100、A100 與 L4 執行個體）與互動式原型環境、平行實驗及大規模預訓練、後訓練整合在一起。

該產品過去以 Grid.ai 之名營運，如今同一平台沿用 Lightning AI 品牌，仍屬 PyTorch Lightning 生態系。除算力之外，Lightning 也提供 AI 程式開發代理、資料集工具、模型評估與推論能力，讓團隊不必拼湊多家供應商，就能從原始資料走到已部署的專用模型。

企業級控管涵蓋 SSO 與角色型存取、稽核記錄、細緻資料權限、SOC2 與 HIPAA 對應、傳輸與靜態加密，並支援私有雲、VPC 或自帶雲（Kubernetes、Slurm）。新用戶通常可取得一定額度的免費 GPU 時數。

**價格與方案:** 按用量計費，公開 GPU 小時單價（例如 H200 執行個體約每小時 4.50 美元起）。企業與團隊方案需洽詢業務，並常提供免費起步 GPU 時數。

- **隨需 GPU 叢集:** 自助取得 H200、B200、H100、A100 與 L4 GPU，保障可用性且無需長期合約。
- **互動式模型開發:** 在瀏覽器或透過 SSH 於雲端 GPU 上撰寫、除錯與調校模型，並支援團隊共享工作空間。
- **平行實驗與訓練:** 同時執行數百個實驗、比較訓練結果，並擴展到多節點 GPU 叢集進行預訓練。
- **企業級治理:** SSO、角色型存取、稽核記錄、細緻資料控管、SOC2 與 HIPAA 對應，以及私有雲與 VPC 部署。
- **自帶雲（BYOC）:** 在自有 Kubernetes 或 Slurm 上執行工作負載，並支援彈性多雲移轉。

**優勢:** 作為 PyTorch Lightning 團隊出品，技術可信度高; GPU 型號豐富，小時單價透明; 具備真正的企業功能：SSO、稽核記錄、HIPAA/SOC2、自帶雲; 從資料準備到推論的一體化流程

**限制:** 按用量計費，若不監控則成本較難預測; 最完整的企業選項需與業務洽談; 平台深度更適合具備實務機器學習工程經驗的團隊

[Profile (Markdown)](https://openaitools.app/tw/tool/grid-ai.md)

## 常見問題

### FluidStack 與 Lightning AI（原 Grid.ai）的每月流量相比如何？

FluidStack 每月有 154,620 次造訪，而 Lightning AI（原 Grid.ai）有 10,313。流量估算反映受眾規模，並非產品品質。

### 兩者的成長率相比如何？

FluidStack 的月增率為 +7.3%；Lightning AI（原 Grid.ai）為 -1.8%。

### 價格相比如何？

FluidStack：付費、需聯絡報價。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. Lightning AI（原 Grid.ai）：Usage-based / Contact for Pricing。按用量計費，公開 GPU 小時單價（例如 H200 執行個體約每小時 4.50 美元起）。企業與團隊方案需洽詢業務，並常提供免費起步 GPU 時數。

## 替代方案

| # | 工具名稱 | 每月造訪次數 | 月成長率 | 定價模式 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure. | [.md](https://openaitools.app/tw/tool/fal-ai.md) |
| 2 | [RunPod](https://openaitools.app/tw/tool/runpod) | 2,881,043 | +5.9% | 付費 | 面向 AI 開發者的 GPU Pod、Serverless 推論與叢集雲平台 | [.md](https://openaitools.app/tw/tool/runpod.md) |
| 3 | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | +64.9% | 免費增值、付費 | 專注於優化的無伺服器推論 API 與託管模型代管，而非單純的裸叢集租賃。 | [.md](https://openaitools.app/tw/tool/together-ai.md) |
| 4 | [Vast.ai](https://openaitools.app/tw/tool/vast-ai) | 1,257,554 | +2.8% | 付費 | 從全球市集以秒為單位租用雲端 GPU | [.md](https://openaitools.app/tw/tool/vast-ai.md) |
| 5 | [Modal](https://openaitools.app/tw/tool/modal-com) | 1,196,021 | +30.2% | 免費增值、需聯絡報價 | 為 AI 與資料工作負載打造的无伺服器雲端基礎設施 | [.md](https://openaitools.app/tw/tool/modal-com.md) |
| 6 | [Nebius](https://openaitools.app/tw/tool/nebius) | 1,145,711 | +10.7% | 付費、需聯絡報價 | 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. | [.md](https://openaitools.app/tw/tool/nebius.md) |
| 7 | [Salad](https://openaitools.app/tw/tool/salad-gpu-cloud) | 713,519 | +10.4% | 免費試用、付費、需聯絡報價 | 編排全球閒置消費級 GPU 的分散式 GPU 雲 | [.md](https://openaitools.app/tw/tool/salad-gpu-cloud.md) |
| 8 | [Cerebras](https://openaitools.app/tw/tool/cerebras) | 701,013 | -12.6% | 需聯絡報價 | 採用獨家晶圓級處理器以實現極端訓練速度，有別於標準的 NVIDIA GPU 叢集設置。 | [.md](https://openaitools.app/tw/tool/cerebras.md) |
| 9 | [DeepInfra](https://openaitools.app/tw/tool/deep-infra) | 457,810 | -8.9% | 付費 | Specializes in cost-effective serverless API inference for open-weights models instead of raw infrastructure rentals. | [.md](https://openaitools.app/tw/tool/deep-infra.md) |
| 10 | [Lightning AI](https://openaitools.app/tw/tool/lightning-ai) | 272,562 | -12.3% | 免費增值、付費、需聯絡報價 | 由 PyTorch Lightning 創建團隊打造的 AI 雲端平台 | [.md](https://openaitools.app/tw/tool/lightning-ai.md) |

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來源：https://openaitools.app/tw/compare/fluidstack-vs-grid-ai

More Markdown: [分類](https://openaitools.app/tw/categories.md) · [流量排名](https://openaitools.app/tw/rankings.md) · [llms.txt](https://openaitools.app/tw/llms.txt)