The Machine Learning Potential of a Combined Tech Approach

This is the first in a five-part series exploring the potential of unified deep learning with CPU, GPU and FGPA technologies. This post explores the machine learning potential of combining different advanced technologies. Deep learning and complex machine learning has quickly become one of the most important computationally intensive applications for a wide variety of fields. The combination of large data sets, high-performance computational capabilities, and evolving and improving algorithms has enabled many successful applications which were previously difficult or impossible to consider. This series explores the challenges of deep learning training and inference, and discusses the benefits of a comprehensive approach for combining CPU, GPU, and FPGA technologies, along with the appropriate software frameworks in a unified deep learning architecture.