Nlyte Machine Learning, powered by IBM Watson IoT, combines Nlyte’s industry leading solution for managing workload infrastructure across the physical compute infrastructure, data centers, colocation, edge, and IoT environments, with the premier machine learning engine of IBM Watson IoT. Tightly integrated, the two enable organizations to rapidly capture, normalize and analyze large amounts of data to optimize operations and head-off potential issues and outages before they happen.
Why Nlyte Machine Learning?
It is a purpose-built framework, developed by leaders in AI and Data Center Management, IBM and Nlyte. It addresses scale, complexity, and optimization requirements of modern data centers. Nlyte Machine Learning is easy to adopt and leverages the data already generated by sensors, critical infrastructure, IT equipment, and applications. There is a complete framework including data collection, patterns for predictive power and thermal, command and control actions from analytics reporting, as well as tooling for custom pattern development.
Key Use Cases
- Predictive Power and Thermal
- Workload/Hybrid Cloud Optimization
- Placement Optimization
- Multi-variate Maintenance and Failure Prediction
- Alarm and Alert Management