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正面對決基準比較
14DaysOfAI（100 School） vs RunningHub
14DaysOfAI（100 School）每月有 26,006 次造訪，月增率 +591.8%，定價模式為免費。RunningHub 每月有 3,105,554 次造訪，成長率 -28.5%，定價模式為免費增值。
每天 15 分鐘 AI 課程，練出真正可用的實戰技能
每月造訪次數
2.6萬
月成長速度
+591.8%
主要市場
🇬🇧 英國
14DaysOfAI（100 School）每月有 26,006 次造訪，月增率 +591.8%，定價模式為免費。RunningHub 每月有 3,105,554 次造訪，成長率 -28.5%，定價模式為免費增值。
每天 15 分鐘 AI 課程，練出真正可用的實戰技能
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
| 面向／指標 | | |
|---|---|---|
| 官方網域 | 100school.com | runninghub.ai |
| 定價模式 | 免費 | 免費增值 |
| 每月造訪次數 | 2.6萬 (26,006) | 310.56萬 (3,105,554) |
| 月流量變化量 |
| +2.22萬 (+591.8%) |
| -123.77萬 (-28.5%) |
| 主要市場與市佔 | 🇬🇧 英國 (79.5%) | 🇨🇳 中國 (52.7%) |
|---|
| 每月直接造訪 | 1.8萬 | 229.72萬 |
|---|
| 使用者評分 | 3.8 | 4.4 |
|---|
| 支援平台 | 網站 | 網站 |
|---|
每天 15 分鐘 AI 課程，練出真正可用的實戰技能
每個上班日早晨寄送一則新課程，設計為約 15 分鐘即可完成。
從 AI 模型運作原理，到提示詞與自動化建構，再到把 AI 融入日常工作流。
每個概念都搭配一項真實工作任務，讓你產出可用成果，而不只是筆記。
全程透過你現有的信箱與常用 AI 工具完成，不需安裝軟體或架設程式環境。
RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.
Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
Publish a workflow as a single-click AI app that anyone can run with simple inputs.
Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
Integrate generation into your product via workflow, model, LLM, and app APIs.
專項更強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.
專項更強面向電影級影片與圖像的 AI 原生創作套件
一站式 AI 影片、圖像與代理式內容創作工作室
專項更強在瀏覽器中免費生成 AI 圖像與影片，並託管模型
專項更強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.
