Presenter

Adam Thompson is a Principal Technical Product Manager at NVIDIA, where he focuses on building hardware and software platforms targeting real-time AI 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. Adam is also the creator of cuSignal, a GPU-accelerated signal processing library written in Python. With over 400,000 downloads, cuSignal is widely used in the sensor processing communities, and—as of CuPy v13—is fully integrated within CuPy library. He holds a master's degree in electrical and computer engineering from Georgia Tech and a bachelor's degree in electrical engineering from Clemson University.