RunPod 记录了 2,881,043 月访问量，月度环比增长为 +5.9%，定价为付费。ThinkDiffusion 记录了 51,807 月访问量，增长率为 -14.8%，定价为免费试用，付费。
ThinkDiffusion is a cloud workspace platform for open-source generative AI. Instead of fighting local installs and GPU shortages, you spin up a private, dedicated machine in about 90 seconds that runs Automatic1111, ComfyUI, Fooocus, Forge and Kohya, along with modern image and video models, and access it from any device including your phone.
| 维度 / 指标 | ||
|---|---|---|
| 官方域名 | runpod.io | thinkdiffusion.com |
| 定价模式 | 付费 | 免费试用，付费 |
| 月访问量 | 288.1万 (2,881,043) | 5.18万 (51,807) |
| 月度环比流量变化 | +16.15万 (+5.9%) | -9019 (-14.8%) |
| 主要市场与份额 | 🇺🇸 美国 (26.1%) | 🇺🇸 美国 (22.4%) |
| 直接访问 / 月 | 163.48万 | 1.8万 |
| 用户评分 | 4.7 | 4.4 |
| 支持的平台 | 网站 | 网站 |
面向 AI 开发者的 GPU Pod、Serverless 推理与集群云平台
按需、可中断或预留方式租用 GPU 实例，覆盖 30 多种 GPU 型号，从 RTX 4090 到 B200、B300 级别加速卡，部署于全球 31 个区域。
把任意容器部署为 API 端点，按需从 0 扩展到数千个 worker，仅为实际使用的算力付费。
启动多节点 GPU 集群用于分布式训练与大规模推理，可挂载共享存储，且无需长期承诺。
从精选中枢部署热门开源模型，或使用公共端点调用图像、音频和文本模型，无需自建基础设施。
ThinkDiffusion is a cloud workspace platform for open-source generative AI. Instead of fighting local installs and GPU shortages, you spin up a private, dedicated machine in about 90 seconds that runs Automatic1111, ComfyUI, Fooocus, Forge and Kohya, along with modern image and video models, and access it from any device including your phone.
Launch a private, dedicated GPU machine in roughly 90 seconds with no installs, drivers or local hardware required, and drive it from any device including a phone.
Run industry-standard open-source interfaces side by side — Automatic1111, ComfyUI, Fooocus, Forge and Kohya — and launch multiple machines at once for parallel work.
Pull models, checkpoints, LoRAs, embeddings and textual inversions from Civitai, Hugging Face or your own drive in one click, and add any extensions or custom nodes.
Each machine is yours alone, with up to 200 GB of persistent private storage, an auto-stop timer, and file access without launching a machine.
专项更强Provides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.
专项更强Provides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management.
一个 API 接入 1500+ 生产级生成式媒体模型
在浏览器中免费生成 AI 图像与视频，并托管模型
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.
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.
提供点对点的 GPU 租赁市场，价格通常更便宜，但硬件稳定性比 RunPod 更不稳定。
专项更强提供无服务器 Python 执行与即时容器扩展，但缺乏像 RunPod 那样直接的持久化 SSH 容器控制。},{de:
专项更强提供无服务器 Python 执行与即时容器扩展，但缺乏像 RunPod 那样直接的持久化 SSH 容器控制。},{de:
提供高性能的企业级 NVIDIA GPU 集群，但比起灵活的抢占式容器，更专注于专用裸机基础设施。},{de:
提供高性能的企业级 NVIDIA GPU 集群，但比起灵活的抢占式容器，更专注于专用裸机基础设施。},{de:
Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.
Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.
免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
免费 / 开源Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
免费 / 开源Utilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees.
免费 / 开源Utilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees.
