Today DDN announced that large commercial machine learning programs in manufacturing, autonomous vehicles, smart cities, medical research and natural-language processing are overcoming production scaling challenges with DDN’s large-scale, high-performance storage solutions. “The high performance and flexible sizing of DDN systems make them ideal for large-scale machine learning architectures,” said Joel Zysman, director of advanced computing at the Center for Computational Science at the University of Miami. “With DDN, we can manage all our different applications from one centrally located storage array, which gives us both the speed we need and the ability to share information effectively. Plus, for our industrial partnership projects that each rely on massive amounts of instrument data in areas like smart cities and autonomous vehicles, DDN enables us to do mass transactions on a scale never before deemed possible. These levels of speed and capacity are capabilities that other providers simply can’t match.”