GPUX is a distributed supercomputer platform that lets you earn from your idle GPU resources by running various workloads.

Sign up on the GPUX platform, set up your GPU resources, select the type of job, submit workloads, and monitor progress.

You can run AI model training, rendering, data analysis, video transcoding, and more.

GPUX supports Web and Docker.

You earn by sharing your idle GPU resources for running other users' workloads. Earnings can be withdrawn as per platform guidelines.

Yes, GPUX uses Homomorphic Encryption to ensure data security during processing.

Yes, GPUX provides real-time monitoring of job progress and earnings.

Core features include distributed computing, Dockerized job execution, model training, video transcoding, and automated scaling.

Benefits include monetizing idle GPU resources, cost-efficient computation, optimized GPU usage, and real-time monitoring.

Target users include data scientists, machine learning engineers, video editors, research institutions, and organizations needing GPU horsepower.