The Mercury platform leverages a hybrid-core architecture that delivers the highest performance available in mid-range systems. Employing field programmable gate arrays (FPGAs) and traditional multi-core processors, this architecture separates data movement and management processes that normally compete for system resources.
Read this concise case study now to discover how The Pennsylvania Justice Network (JNET) achieved successful facial-recognition technology with simplified usability, improved accuracy and more.
This white paper showcases a solution that is architected to scale and handle diverse performance requirements and automate the implementation of data retention policies. Discover how this uniquely designed technology combines a data management framework with hardware help in the form of FPGAs that provide robust performance for I/O operations.
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