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BytePlus vs GPUX.AI
BytePlus 记录了 3,036,127 月访问量，月度环比增长为 -30%，定价为免费增值，付费。GPUX.AI 记录了 68 月访问量，增长率为 -90.5%，定价为定价请咨询。
BytePlus 记录了 3,036,127 月访问量，月度环比增长为 -30%，定价为免费增值，付费。GPUX.AI 记录了 68 月访问量，增长率为 -90.5%，定价为定价请咨询。
GPUX.AI is a serverless GPU platform for deploying Dockerized AI applications, running inference on demand and selling access to your own private models.
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | byteplus.com | gpux.ai |
| 定价模式 | 免费增值，付费 | 定价请咨询 |
| 月访问量 | 303.61万 (3,036,127) | 68 (68) |
| 月度环比流量变化 | -130.24万 (-30%) | -649 (-90.5%) |
| 主要市场与份额 | 🇻🇳 越南 (7.5%) | 🇮🇩 印度尼西亚 (100%) |
| 直接访问 / 月 | 73.69万 | 27 |
| 用户评分 | 4.3 | 3.5 |
| 支持的平台 | 网站 | 网站 |
面向企业的 AI 原生云平台
统一访问与管理大语言及多模态模型的平台，涵盖用于代码与智能体的 Seed，并公布按 token 计价。
生产级视频生成支持多镜头叙事，多模态图像创建与编辑，均可通过同一套 API 调用。
弹性 GPU 算力、云原生机器学习平台与 Serverless 容器，让团队无需管理硬件即可训练、微调与部署模型。
AgentKit、深度研究智能体、AI 知识搜索与向量数据库，提供智能体所需的检索与编排能力。
GPUX.AI is a serverless GPU platform for deploying Dockerized AI applications, running inference on demand and selling access to your own private models.
Package AI applications as Docker images and run them on GPU infrastructure with claimed cold starts around one second, so you do not manage servers yourself.
Invoke models over HTTP — the site advertises a single curl call for Stable Diffusion XL — and pay for what you use rather than idle GPU time.
Host a private model and sell inference requests to other organizations, turning your model into a product.
Route inference across GPUs with an emphasis on cold-start performance and efficient scheduling for bursty workloads.
免费 / 开源Google 的快速原型开发 IDE 与开发者 API 工作台，用于构建基于 Gemini 模型的多模态应用。
专项更强智谱 AI 的 GLM 大模型开放平台，多模态 API 与智能体开发一体化
一个 API 接入 1500+ 生产级生成式媒体模型
免费 / 开源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.
免费 / 开源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.
免费 / 开源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.
Runware is an AI inference platform that exposes an enormous model catalog — images, video, audio, LLMs and 3D — through a single API endpoint, alongside serverless GPU compute and reserved capacity running on modular data centers the company designs and operates itself. It is aimed at developers and product teams who want to ship generative features without managing infrastructure.
Runware is an AI inference platform that exposes an enormous model catalog — images, video, audio, LLMs and 3D — through a single API endpoint, alongside serverless GPU compute and reserved capacity running on modular data centers the company designs and operates itself. It is aimed at developers and product teams who want to ship generative features without managing infrastructure.
专项更强为文本、视频、图像、语音与音乐而生的多模态大模型与原生 AI 产品
