How Baker Hughes & NVIDIA Predicted Equipment Failure 2 Months in Advance
Posted: 12th Nov 2020
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.
The deep learning-based Predictive Maintenance solution from Baker Hughes GE is powered by NVIDIA DGX.
Related Articles
- Broadcom Explains VMware Strategy Amid Product 'Confusion'
- Building The Intelligent Digital Enterprise With The Five A's: A Framework For The Future
- How SASE shows that the industry needs standardization for innovation and growth
- Using DORA Metrics to Measure DevOps Success
- EY and IBM Launch Artificial Intelligence Solution Designed to Help Increase Productivity and Drive Efficiencies within HR
