# GPUX.AI

According to OpenAITools.app telemetry verified on 2026-11-11, GPUX.AI (gpux.ai) is an AI platform indexed under AI API generating 68 monthly visits with a month-over-month traffic delta of -649 (-90.5%). Its primary geographic market is Indonesia (100% traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include BytePlus (3.04M visits/mo), Together AI (1.65M visits/mo), DeepInfra (457.81K visits/mo).

Run serverless GPU inference on Dockerized AI apps

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | GPUX.AI |
| Handle | gpux-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | gpux.ai |
| Website URL | https://gpux.ai |
| Categories | AI API, AI Models, AI Developer Tools, AI Image Generator, AI Speech-to-Text, Large Language Models (LLMs) |
| Pricing Model | Contact for Pricing |
| Monthly Visits | 68 |
| MoM Traffic Change | -649 |
| MoM Growth Rate | -90.5% |
| Primary Market | Indonesia |
| Market Share | 100% |
| Direct Visits | 27 |
| Organic Search Visits | 0 |
| Social Visits | 0 |
| Referral Visits | 6 |
| Email Visits | 1 |
| Review Score | 3.5 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Contact for Pricing |
| Tags | GPU, Docker, Inference, Serverless, AI, Machine Learning, StableDiffusion, Model Deployment |

## Overview

GPUX.AI is a serverless GPU platform aimed at teams that need to run AI workloads without managing their own GPU servers. The core idea is Docker plus inference: you containerize an application, deploy it, and GPUX handles GPU scheduling and scaling around it. The company has long emphasized cold-start performance — its V2 launch headline was '1s starts from cold' — because slow model warm-up is one of the main practical costs of serverless inference.

The examples on the site lean toward generative and speech workloads: Stable Diffusion XL, SDXL 0.9, ESRGAN for upscaling and Whisper for speech-to-text. Inference is exposed over plain HTTP, with the homepage still advertising a single curl command that returns an SDXL image from a prompt, which is an unusually direct illustration of the API surface. Alongside running your own workloads, GPUX markets the ability to sell inference requests on a private model to other organizations.

Operationally, GPUX.AI is a Toronto-based company (GPUX Inc.) with an open-source edge farm agent on GitHub for earning on spare Windows and Linux machines. Its news channel is not recent and no public price list is published; commercial conversations start with a founder call. If you are evaluating serverless GPU providers, treat it as a specialist option worth verifying directly — the marketing site is live, but you should confirm current runtime availability before depending on it.

## Pricing & Plans

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.

## Key Features & Capabilities

- **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.

## Primary Use Cases

- **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.

## Strengths

- 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.

## Limitations

- 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.

## Frequently Asked Questions

### 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.

### What is GPUX.AI's monthly traffic and growth trend?
GPUX.AI currently receives 68 monthly visits, with a month-over-month traffic change of -649 (-90.5% growth rate). Its primary source market is Indonesia (100% share), including 27 direct visits/mo and 0 organic search visits/mo.

### Is GPUX.AI free? What is its pricing model?
GPUX.AI operates on a Contact for Pricing pricing model. 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. Supported billing and checkout platforms include: not listed.

### What are the best GPUX.AI alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to GPUX.AI are: 1. BytePlus (3.04M visits/mo); 2. Together AI (1.65M visits/mo); 3. DeepInfra (457.81K visits/mo); 4. fal.ai (3.09M visits/mo); 5. Runware (402.86K visits/mo).

### Which platforms and core AI capabilities does GPUX.AI support?
GPUX.AI is classified under AI API, AI Models, AI Developer Tools, AI Image Generator, supports the following platforms: Website, and its core capability tags include: GPU, Docker, Inference, Serverless, AI, Machine Learning.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [BytePlus](https://openaitools.app/tool/byteplus) | 3,036,127 | Freemium, Paid | [Compare](https://openaitools.app/compare/byteplus-vs-gpux-ai) |
| [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | Freemium, Paid | [Compare](https://openaitools.app/compare/gpux-ai-vs-together-ai) |
| [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | Paid | [Compare](https://openaitools.app/compare/deep-infra-vs-gpux-ai) |
| [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | Paid, pay-as-you-go usage-based pricing | [Compare](https://openaitools.app/compare/fal-ai-vs-gpux-ai) |
| [Runware](https://openaitools.app/tool/runware) | 402,862 | Paid | [Compare](https://openaitools.app/compare/gpux-ai-vs-runware) |
| [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | Paid | [Compare](https://openaitools.app/compare/gpux-ai-vs-novita-ai) |
| [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | Paid | [Compare](https://openaitools.app/compare/gpux-ai-vs-replicate-ai) |
| [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | Paid | [Compare](https://openaitools.app/compare/gpux-ai-vs-openai) |
| [Chutes](https://openaitools.app/tool/chutes) | 250,187 | Paid | [Compare](https://openaitools.app/compare/chutes-vs-gpux-ai) |
| [Synexa AI](https://openaitools.app/tool/synexa-ai) | 7,179 | Paid | [Compare](https://openaitools.app/compare/gpux-ai-vs-synexa-ai) |
| [Google AI Studio](https://openaitools.app/tool/google-ai-studio) | 112,620,020 | Freemium | [Compare](https://openaitools.app/compare/google-ai-studio-vs-gpux-ai) |
| [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | Contact for Pricing | [Compare](https://openaitools.app/compare/fireworks-ai-vs-gpux-ai) |

[GPUX.AI](https://discord.com/invite/jjBSjSF)

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Source: https://openaitools.app/tool/gpux-ai