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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.
Timothy Lanfear manages NVIDIA’s European solution architecture and engineering team. He has twenty-five years’ experience in HPC, starting as a computational scientist in British Aerospace’s corporate research centre, and then moving to technical pre-sales roles with Hitachi, ClearSpeed, and most recently NVIDIA. He has a degree in Electrical Engineering and a PhD for research in the field of graph theory, both from Imperial College London. He is a Chartered Engineer and Member of the Institution of Engineering and Technology.