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Introduction: GPUX is a platform designed to run Dockerized applications, including autoscaling inference with GPU support, offering potential cost savings of 50-90%. It provides serverless GPU inference for models such as StableDiffusionXL, ESRGAN, and WHISPER, while also enabling private model deployment for other organizations.

GPUX Product Information

What is GPUX?

GPUX provides a platform for running any Dockerized workload, including autoscaling inference with GPU support, with claims of 50-90% cost savings. It offers serverless GPU inference, supports AI models like StableDiffusionXL, ESRGAN, and WHISPER, and facilitates private model deployment for other organizations.

How to use GPUX?

Users can deploy AI models, execute serverless inference, and manage GPU resources via the GPUX platform. The service supports a variety of AI models and allows users to monetize requests on their private models.

GPUX's Core Features

  • GPU-accelerated Dockerized applications
  • Autoscaling inference
  • Serverless GPU inference
  • Private model deployment

GPUX Use Cases

#1 Running StableDiffusionXL for image generation
#2 Deploying and selling access to private AI models

FAQ from GPUX

What AI models does GPUX support? +

GPUX supports StableDiffusionXL, ESRGAN, WHISPER, and various other AI models.

Can I sell requests on my private model? +

Yes, you can sell requests for your private models to other organizations using the GPUX platform.

What is the cold start time? +

GPUX reports a cold start time of 1 second.

GPUX Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to GPUX.

Compare Claude 4.6 Sonnet and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare DeepSeek V4 Pro and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare Gemini 3.1 Pro and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Grok 4.3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.