Chatsworth, Calif., October 1, 2024 — DDN announced a significant expansion of its AI research and innovation efforts in Texas. The initiative aims to accelerate progress in areas such as healthcare, financial services and autonomous systems. These areas are critical technologies that will shape the future economy and directly impact the lives of millions of people. Through our partnership with YTexas, DDN will contribute to the state’s burgeoning business ecosystem, driving technological advancement, job creation, and strong economic growth.
“Innovative industry leaders recognize Texas’ competitive advantages when choosing where to relocate or expand their operations,” said Texas Governor Greg Abbott. “Our great state provides room for businesses of all sizes to grow and their workers to thrive as we build a bigger and better Texas for the next 20 years and beyond. ”
“As the AI economy continues to reshape industries around the world, Texas is emerging as a powerhouse for innovation,” said Alex Bouzari, CEO and co-founder of DDN. “By expanding our AI research footprint here, we are not only investing in breakthrough technology, but also ensuring that data-driven decision-making drives transformative business outcomes and quality of life for people everywhere. We are helping Texas move toward a better future.”
The YTexas Summit in Arlington promises to be the premier gathering of technology leaders, entrepreneurs, and policy makers, creating opportunities for impactful partnerships and forward-thinking business ventures. DDN’s expanded presence in Texas strengthens the company’s commitment to leveraging AI and data intelligence to drive economic expansion and industry leadership in the state.
About DDN
DDN is a leading data intelligence company serving more than 11,000 customers focused on unlocking real-time AI and HPC insights. The DDN data intelligence platform supercharges more than 500,000 GPUs worldwide across a wide range of use cases including autonomous driving, financial services, healthcare, research, and academia. Manage complex data, enhance performance, reduce costs, improve security, and accelerate AI and HPC workloads at scale from edge to core to cloud.
Source: DDN
