# FluidStack vs HIVE Digital Technologies

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。HIVE Digital Technologies 每月有 0 次造訪，成長率 0%，定價模式為付費。

| 指標 | [FluidStack](https://openaitools.app/tw/tool/fluidstack) | [HIVE Digital Technologies](https://openaitools.app/tw/tool/hiveblockchain-com) |
| :--- | :--- | :--- |
| 網站網址 | https://fluidstack.io | https://hiveblockchain.com |
| 分類 | AI 開發者工具, AI 模型, Large Language Models (LLMs) | AI 加密工具, 區塊鏈 |
| 定價模式 | 付費、需聯絡報價 | 付費 |
| 每月造訪次數 | 154,620 | 0 |
| 月成長率 | +7.3% | 0% |
| 主要市場 | 美國 | 全球 |
| 直接造訪 | 47,869 | 0 |
| 評論分數 | 4.4 | 4.2 |
| 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)

## HIVE Digital Technologies

HIVE Digital Technologies operates clean-energy data centers across Canada, Sweden, and Paraguay, running Bitcoin hashrate services that fund its BUZZ HPC business for GPU-based AI infrastructure.

**價格與方案:** Not a self-serve software product; HIVE is a publicly listed infrastructure and compute provider. Hashrate and HPC services are arranged through business engagement.

- **Clean-energy data centers:** Approximately 440 MW of active data center capacity across Canada, Sweden, and Paraguay, powered primarily by hydroelectricity.
- **Hashrate services:** Bitcoin mining operations that generate cash flow used partly to fund the company's AI infrastructure buildout.
- **BUZZ HPC AI infrastructure:** BUZZ HPC provides GPU-accelerated compute for AI workloads, backed by the same power and data center base.
- **Tier I to Tier III buildout:** Builds Tier I data centers using a single power and cooling path for efficient compute, then upgrades them to Tier III with redundant power and cooling for enterprise AI.
- **Operating track record:** Operating since 2017 across three continents, with a stated focus on sustainable compute and community engagement.

**優勢:** Clean hydroelectric power underpins a large share of capacity; Dual revenue engines across mining and AI compute; Substantial scale at roughly 440 MW across three continents; Building since 2017 with public reporting as a listed company

**限制:** It is a publicly listed mining and infrastructure company, so exposure carries crypto and equity market volatility; The site is investor-oriented, not a self-serve product for individuals; Revenue still depends substantially on Bitcoin economics; Energy prices and regulatory shifts across three countries affect operations

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

## 常見問題

### FluidStack 與 HIVE Digital Technologies 的每月流量相比如何？

FluidStack 每月有 154,620 次造訪，而 HIVE Digital Technologies 有 0。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%；HIVE Digital Technologies 為 0%。

### 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. HIVE Digital Technologies：付費。Not a self-serve software product; HIVE is a publicly listed infrastructure and compute provider. Hashrate and HPC services are arranged through business engagement.

## 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 | 提供用於雲端作業的無伺服器 Python 容器執行環境，但缺乏裸多節點叢集佈署控制。 | [.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 | 提供專屬的 NVIDIA GPU 叢集與託管雲端基礎設施，直接在企業級訓練工作負載上競爭。 | [.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-hiveblockchain-com

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)