Adam Thompson

Adam Thompson is the head of product for edge supercomputing at NVIDIA, where he focuses on building hardware and software platforms targeting real-time AI, smart sensors, and tying high speed sensor I/O to GPU-accelerated compute. His work advances edge and datacenter/cloud collaborative workloads that integrate digital twins of instruments and AI training/fine-tuning deployments. He is also the creator of cuSignal, a GPU accelerated signal processing library written in Python, now fully merged into CuPy. Adam holds a masters degree in electrical and computer engineering from Georgia Tech and a bachelors degree in electrical engineering from Clemson University.