The CEO and founder of NVIDIA, Jensen Huang, described the artificial intelligence revolution as “a once in a lifetime opportunity” to show leadership in the field. The architecture of a graphics processing unit is uniquely well-suited to performing the computational tasks used for running AI models. Several years of intense engineering development have resulted in a complete hardware and software platform for AI research, development, and large-scale deployment. We will look at NVIDIA’s strategy to address the most difficult computing challenges, and the solutions we have developed. The Cambridge-1 AI supercomputer is a concrete example of the capability. This system, which will be available for U.K. healthcare researchers to work on pressing problems, is located at Kao Data, a data centre using 100 percent renewable energy. Cambridge-1 would rank among the world’s top three most energy-efficient supercomputers.
Want to ask a question about this event?