GPUX

You hand GPUX a Dockerized application or a model to run, and it gives you back GPU-backed inference without you managing the hardware.

GPUX is a GPU platform for developers that runs anything packaged in Docker, including autoscaling inference, on serverless GPUs.

The company claims cost savings of 50 to 90 percent, a figure you should test against your own workload before relying on it.

The models mentioned are StableDiffusionXL for image generation, ESRGAN for image upscaling, and Whisper for speech-to-text.

That spread explains why GPUX sits across several categories: image work, transcription, and general AI APIs all run on the same infrastructure.

If you already have a container, the Docker route is the more flexible path, since you are not limited to a fixed model list.

GPUX also offers private model deployment for other organizations.

That is handy for teams that want a model hosted for their own use rather than shared endpoints.

Pricing is not something to assume from the savings claim, so check the site for current rates before planning a project around it.