GPU-accelerated predictive maintenance solutions are helping industrial companies drive down operational costs by delivering greater accuracy than traditional machine learning-based methods in predicting equipment failure.

By reducing equipment failure and unplanned downtime, NVIDIA’s GPUs and software stack enable industrial companies to work smarter and more safely, while also reducing operations cost.

Oil & Gas
The deep learning-based Predictive Maintenance solution from Baker Hughes GE is powered by NVIDIA^R DGX _^™. It delivers a probabilistic orchestration engine, complete with a catalog of models powered by NVIDIA GPUs, to predict equipment failure two months in advance. The solution is ready to deploy in weeks and delivers 4-5 times greater accuracy in predicting equipment failure.

Aerospace and Manufacturing
The NVIDIA ecosystem of software partners and system integrators provides next-generation GPU-accelerated machine learning and deep learning predictive maintenance solutions, so you can train a model faster for greater accuracy.