# GPUX.AI Segundo a telemetria do OpenAITools.app verificada em 2026-11-11, GPUX.AI (gpux.ai) é uma plataforma de IA indexada em AI API que gera 68 visitas mensais com variação de tráfego mês a mês de -649 (-90,5%). Seu principal mercado geográfico é Indonésia (100% de participação no tráfego) e opera com modelo de preços Preço sob consulta. As principais alternativas concorrentes por volume mensal incluem BytePlus (3,04 mi visitas/mês), Together AI (1,65 mi visitas/mês), DeepInfra (457,81 mil visitas/mês). GPUX.AI is a serverless GPU platform for deploying Dockerized AI applications, running inference on demand and selling access to your own private models. ## Principais dados de telemetria e especificações | Métrica | Valor | | :--- | :--- | | Nome da ferramenta | GPUX.AI | | Handle | gpux-ai | | Status | active | | Origin | independent | | Maintenance | active | | Domínio oficial | gpux.ai | | URL do site | https://gpux.ai | | Categorias | AI API, Modelos de IA, Ferramentas de desenvolvimento com IA, Gerador de imagens com IA, Fala para texto com IA, Large Language Models (LLMs) | | Modelo de preços | Preço sob consulta | | Visitas mensais | 68 | | Variação de tráfego mensal | -649 | | Taxa de crescimento mensal | -90,5% | | Mercado principal | Indonésia | | Participação de mercado | 100% | | Visitas diretas | 27 | | Visitas de busca orgânica | 0 | | Visitas sociais | 0 | | Visitas de referência | 6 | | Visitas por e-mail | 1 | | Nota de avaliação | 3,5 | | Contagem de favoritos | 0 | | Plataformas suportadas | Site | | Plataformas de cobrança | | | Atributos | Recursos: Site; Preços: Preço sob consulta | | Tags | GPU, Docker, Inferência, Serverless, IA, Aprendizado de máquina, StableDiffusion, Implantação de modelos | ## Visão geral GPUX.AI is a serverless GPU platform for deploying Dockerized AI applications, running inference on demand and selling access to your own private models. ## Preços e planos 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. ## Principais recursos e capacidades - **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. ## Principais casos de uso - **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. ## Pontos fortes - 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. ## Limitações - 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. ## Perguntas frequentes ### 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. ### Qual é o tráfego mensal e a tendência de crescimento de GPUX.AI? GPUX.AI recebe atualmente 68 visitas mensais, com variação de tráfego mês a mês de -649 (taxa de crescimento de -90,5%). Seu principal mercado de origem é Indonésia (100% de participação), incluindo 27 visitas diretas/mês e 0 visitas de busca orgânica/mês. ### O GPUX.AI é gratuito? Qual é o seu modelo de preços? GPUX.AI opera com um modelo de preços Preço sob consulta. 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. As plataformas de cobrança e checkout suportadas incluem: não listado. ### Quais são as melhores alternativas de GPUX.AI em 2026? Com base no tráfego das categorias e na adequação de recursos do OpenAITools.app, as cinco principais alternativas a GPUX.AI são: 1. BytePlus (3,04 mi visitas/mês); 2. Together AI (1,65 mi visitas/mês); 3. DeepInfra (457,81 mil visitas/mês); 4. fal.ai (3,09 mi visitas/mês); 5. Runware (402,86 mil visitas/mês). ### Quais plataformas e principais capacidades de IA o GPUX.AI suporta? GPUX.AI está classificado em AI API, Modelos de IA, Ferramentas de desenvolvimento com IA, Gerador de imagens com IA, suporta as seguintes plataformas: Site, e suas principais tags de capacidade incluem: GPU, Docker, Inferência, Serverless, IA, Aprendizado de máquina. ## Alternativas | Nome da ferramenta | Visitas mensais | Modelo de preços | Comparar | | :--- | :--- | :--- | :--- | | [BytePlus](https://openaitools.app/pt/tool/byteplus) | 3.036.127 | Freemium, Pago | [Comparar](https://openaitools.app/pt/compare/byteplus-vs-gpux-ai) | | [Together AI](https://openaitools.app/pt/tool/together-ai) | 1.645.930 | Freemium, Pago | [Comparar](https://openaitools.app/pt/compare/gpux-ai-vs-together-ai) | | [DeepInfra](https://openaitools.app/pt/tool/deep-infra) | 457.810 | Pago | [Comparar](https://openaitools.app/pt/compare/deep-infra-vs-gpux-ai) | | [fal.ai](https://openaitools.app/pt/tool/fal-ai) | 3.093.684 | Paid, pay-as-you-go usage-based pricing | [Comparar](https://openaitools.app/pt/compare/fal-ai-vs-gpux-ai) | | [Runware](https://openaitools.app/pt/tool/runware) | 402.862 | Pago | [Comparar](https://openaitools.app/pt/compare/gpux-ai-vs-runware) | | [Novita AI](https://openaitools.app/pt/tool/novita-ai) | 271.371 | Pago | [Comparar](https://openaitools.app/pt/compare/gpux-ai-vs-novita-ai) | | [Replicate AI](https://openaitools.app/pt/tool/replicate-ai) | 904.038 | Pago | [Comparar](https://openaitools.app/pt/compare/gpux-ai-vs-replicate-ai) | | [Plataforma OpenAI](https://openaitools.app/pt/tool/openai) | 234.678.639 | Pago | [Comparar](https://openaitools.app/pt/compare/gpux-ai-vs-openai) | | [Chutes](https://openaitools.app/pt/tool/chutes) | 250.187 | Pago | [Comparar](https://openaitools.app/pt/compare/chutes-vs-gpux-ai) | | [Synexa AI](https://openaitools.app/pt/tool/synexa-ai) | 7.179 | Pago | [Comparar](https://openaitools.app/pt/compare/gpux-ai-vs-synexa-ai) | | [Google AI Studio](https://openaitools.app/pt/tool/google-ai-studio) | 112.620.020 | Freemium | [Comparar](https://openaitools.app/pt/compare/google-ai-studio-vs-gpux-ai) | | [Fireworks](https://openaitools.app/pt/tool/fireworks-ai) | 659.687 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/fireworks-ai-vs-gpux-ai) | ## Comunidade Comunidade do GPUX.AI: executar inferência de IA e aplicações em Docker em GPUs, implantar modelos por endpoints HTTP e compartilhar capacidade de GPU no Windows 10 ou Linux. [GPUX.AI](https://discord.com/invite/jjBSjSF) --- Fonte: https://openaitools.app/pt/tool/gpux-ai