Machine learning (ML) has recently undergone huge progress in research and development. Importantly, the emergence of deep learning (DL) and the computing power enhancement of accelerators like GPUs have together enabled a tremendous adoption of machine learning applications. This has caused machine learning to have a broader and deeper impact on our lives in many Read more...
Co-author: Dave Jaffe, Staff Engineer Many IoT systems such as those in manufacturing/testing facilities, connected cars and surveillance systems can generate huge quantities of data. Airplane engine testing, for example, can produce multiple gigabytes of measurement data per hour. Once all of that data is collected, the issue is making sense of it for monitoring Read more...
As our CTO Ray O’Farrell recently mentioned, VMware is committed to helping customers build intelligent infrastructure, which includes the ability to take advantage of Machine Learning within their private and hybrid cloud environments. As part of delivering this vision, the Office of the CTO collaborates with customers and with VMware R&D teams to ensure the Read more...
Key Trends in Big Data Infrastructure: Some of the key trends in big data infrastructure over the past couple of years are: • Decoupling of Compute and Storage Clusters • Separate compute virtual machines from storage VMs • Data is processed and scaled independently of compute • Dynamic Scaling of compute nodes used for analysis Read more...
