# GPUX.AI Según la telemetría de OpenAITools.app verificada el 2026-11-11, GPUX.AI (gpux.ai) es una plataforma de IA indexada en AI API que genera 68 visitas mensuales con una variación de tráfico intermensual de -649 (-90,5 %). Su principal mercado geográfico es Indonesia (100 % de cuota de tráfico), y opera con un modelo de precios Precio a consultar. Entre las principales alternativas competidoras por volumen mensual se incluyen BytePlus (3,04 M visitas/mes), Together AI (1,65 M visitas/mes), DeepInfra (457,81 mil visitas/mes). GPUX.AI is a serverless GPU platform for deploying Dockerized AI applications, running inference on demand and selling access to your own private models. ## Telemetría y especificaciones clave | Métrica | Valor | | :--- | :--- | | Nombre de la herramienta | GPUX.AI | | Identificador | gpux-ai | | Status | active | | Origin | independent | | Maintenance | active | | Dominio oficial | gpux.ai | | URL del sitio web | https://gpux.ai | | Categorías | AI API, Modelos de IA, Herramientas de desarrollo con IA, Generador de imágenes con IA, Voz a texto con IA, Large Language Models (LLMs) | | Modelo de precios | Precio a consultar | | Visitas mensuales | 68 | | Variación de tráfico intermensual | -649 | | Tasa de crecimiento intermensual | -90,5 % | | Mercado principal | Indonesia | | Cuota de mercado | 100 % | | Visitas directas | 27 | | Visitas de búsqueda orgánica | 0 | | Visitas desde redes sociales | 0 | | Visitas por referidos | 6 | | Visitas por email | 1 | | Puntuación de reseñas | 3,5 | | Número de guardados | 0 | | Plataformas compatibles | Sitio web | | Plataformas de facturación | | | Atributos | Funciones: Sitio web; Precios: Precio a consultar | | Etiquetas | GPU, Docker, Inferencia, Sin servidor, IA, Aprendizaje automático, StableDiffusion, Despliegue de modelos | ## Resumen GPUX.AI is a serverless GPU platform for deploying Dockerized AI applications, running inference on demand and selling access to your own private models. ## Precios y planes Contact for pricing. GPUX.AI does not publish public plan tiers or per-GPU rates on its site; pricing is arranged through a sales conversation, with a 'Talk to a Founder' booking link as the entry point. ## Funciones y capacidades clave - **Dockerized app deployment:** 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. - **Serverless inference over HTTP:** 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. - **Monetize private models:** Host a private model and sell inference requests to other organizations, turning your model into a product. - **GPU routing and cold starts:** Route inference across GPUs with an emphasis on cold-start performance and efficient scheduling for bursty workloads. - **Prebuilt model examples:** Reference deployments for Stable Diffusion, SDXL, ESRGAN and Whisper show how image generation and speech-to-text workloads are wired up. ## Casos de uso principales - **Serverless image generation (ML engineer):** Run diffusion and upscaling models on demand instead of provisioning and maintaining dedicated GPU servers, paying only for requests served. - **Host and monetize a private model (AI startup founder):** Containerize a model, expose it over HTTP and sell inference requests to other organizations without building billing and routing infrastructure. - **Deploy custom AI containers (Backend developer):** Use Docker to deploy custom pipelines that a fixed-model API cannot support, keeping your existing container tooling. - **Batch transcription workloads (Media or audio team):** Run Whisper-family speech-to-text through an HTTP endpoint as part of a transcription or media-processing workflow. - **Earn on idle GPU hardware (Compute contributor):** Contribute spare Windows or Linux GPU capacity via the open-source edge agent on GitHub. ## Fortalezas - Docker-based deployment lets you run arbitrary AI applications, not just a fixed model catalog. - Cold-start performance is a stated core focus, which matters for bursty serverless inference. - Inference is callable over simple HTTP, illustrated by a one-line curl example. - Private models can be monetized by selling requests to other organizations. - Open-source edge agent on GitHub extends the platform's model to spare machines. ## Limitaciones - Marketing content has not been refreshed recently, so it is hard to tell how actively the platform is maintained. - The hosted dashboard and inference endpoint were not reachable during this audit, which is a real risk for a service you would build on. - Documentation is light compared with larger serverless GPU providers. - 'Contact for pricing' means you cannot self-serve a cost estimate before talking to sales. - Docker-based deployment has a learning curve if you are used to notebook-style workflows. ## Preguntas frecuentes ### What is GPUX.AI? GPUX.AI is a serverless GPU platform. You deploy Dockerized applications, run inference workloads such as Stable Diffusion and Whisper, and can sell requests on your own private models to other organizations. It advertises cold starts from around one second. ### How much does GPUX.AI cost? GPUX.AI does not publish public plan pricing; engagement is by contact and a 'Talk to a Founder' booking link. Because it targets GPU workloads sold on usage and private model hosting, cost depends on what you deploy. ### What kind of AI workloads does it run? It is built around Docker, which means you can package arbitrary AI applications rather than only calling a fixed set of hosted models. The site highlights Stable Diffusion XL, ESRGAN and Whisper as examples, including a one-line curl call for SDXL. ### Can I sell access to my own model? Yes. A documented use case is selling requests on your private model to other organizations, so you can monetize a model you host rather than only consuming compute. ### Is the platform actively available? The homepage was live during this audit but the hosted app and inference endpoint subdomains were not reachable at the same time, and the site's own news stops in 2023. Confirm current service availability with the team before committing production workloads. ### ¿Cuál es el tráfico mensual y la tendencia de crecimiento de GPUX.AI? GPUX.AI recibe actualmente 68 visitas mensuales, con una variación de tráfico intermensual de -649 (tasa de crecimiento del -90,5 %). Su principal mercado de origen es Indonesia (100 % de cuota), con 27 visitas directas/mes y 0 visitas de búsqueda orgánica/mes. ### ¿GPUX.AI es gratis? ¿Cuál es su modelo de precios? GPUX.AI opera con un modelo de precios Precio a consultar. Contact for pricing. GPUX.AI does not publish public plan tiers or per-GPU rates on its site; pricing is arranged through a sales conversation, with a 'Talk to a Founder' booking link as the entry point. Las plataformas de facturación y pago compatibles incluyen: no indicado. ### ¿Cuáles son las mejores alternativas a GPUX.AI en 2026? Según el tráfico por categoría y el ajuste de funciones de OpenAITools.app, las cinco mejores alternativas a GPUX.AI son: 1. BytePlus (3,04 M visitas/mes); 2. Together AI (1,65 M visitas/mes); 3. DeepInfra (457,81 mil visitas/mes); 4. fal.ai (3,09 M visitas/mes); 5. Runware (402,86 mil visitas/mes). ### ¿Qué plataformas y capacidades de IA principales admite GPUX.AI? GPUX.AI está clasificada en AI API, Modelos de IA, Herramientas de desarrollo con IA, Generador de imágenes con IA, es compatible con las siguientes plataformas: Sitio web, y sus etiquetas de capacidades principales incluyen: GPU, Docker, Inferencia, Sin servidor, IA, Aprendizaje automático. ## Alternativas | Nombre de la herramienta | Visitas mensuales | Modelo de precios | Comparar | | :--- | :--- | :--- | :--- | | [BytePlus](https://openaitools.app/es/tool/byteplus) | 3.036.127 | Freemium, De pago | [Comparar](https://openaitools.app/es/compare/byteplus-vs-gpux-ai) | | [Together AI](https://openaitools.app/es/tool/together-ai) | 1.645.930 | Freemium, De pago | [Comparar](https://openaitools.app/es/compare/gpux-ai-vs-together-ai) | | [DeepInfra](https://openaitools.app/es/tool/deep-infra) | 457.810 | De pago | [Comparar](https://openaitools.app/es/compare/deep-infra-vs-gpux-ai) | | [fal.ai](https://openaitools.app/es/tool/fal-ai) | 3.093.684 | Paid, pay-as-you-go usage-based pricing | [Comparar](https://openaitools.app/es/compare/fal-ai-vs-gpux-ai) | | [Runware](https://openaitools.app/es/tool/runware) | 402.862 | De pago | [Comparar](https://openaitools.app/es/compare/gpux-ai-vs-runware) | | [Novita AI](https://openaitools.app/es/tool/novita-ai) | 271.371 | De pago | [Comparar](https://openaitools.app/es/compare/gpux-ai-vs-novita-ai) | | [Replicate AI](https://openaitools.app/es/tool/replicate-ai) | 904.038 | De pago | [Comparar](https://openaitools.app/es/compare/gpux-ai-vs-replicate-ai) | | [Plataforma OpenAI](https://openaitools.app/es/tool/openai) | 234.678.639 | De pago | [Comparar](https://openaitools.app/es/compare/gpux-ai-vs-openai) | | [Chutes](https://openaitools.app/es/tool/chutes) | 250.187 | De pago | [Comparar](https://openaitools.app/es/compare/chutes-vs-gpux-ai) | | [Synexa AI](https://openaitools.app/es/tool/synexa-ai) | 7179 | De pago | [Comparar](https://openaitools.app/es/compare/gpux-ai-vs-synexa-ai) | | [Google AI Studio](https://openaitools.app/es/tool/google-ai-studio) | 112.620.020 | Freemium | [Comparar](https://openaitools.app/es/compare/google-ai-studio-vs-gpux-ai) | | [Fireworks](https://openaitools.app/es/tool/fireworks-ai) | 659.687 | Precio a consultar | [Comparar](https://openaitools.app/es/compare/fireworks-ai-vs-gpux-ai) | ## Comunidad Comunidad de GPUX.AI: ejecutar inferencia de IA y aplicaciones en Docker sobre GPUs, desplegar modelos mediante endpoints HTTP y compartir capacidad de GPU en Windows 10 o Linux. [GPUX.AI](https://discord.com/invite/jjBSjSF) --- Fuente: https://openaitools.app/es/tool/gpux-ai