How AI and Accelerated Computing are Revolutionizing Oceanographic Data Processing
, Founder, North.io
, Global Head of AI Nations Business Development, NVIDIA
Our Earth, often referred as the “Blue Planet,” owes this moniker to its vast oceans. When benchmarked against national economies, the blue economy ranks as the seventh-largest globally and is growing massively due to offshore wind energy production, subsea infrastructure projects, aquaculture, mineral resource usage, and much more. Oceanography is heavily dependent on processing and analyzing vast volumes of data. Due to the tremendous developments in technology ranging from autonomous systems to new underwater sensor systems, traditional data processing methods are facing severe challenges in terms of scalability, speed, and efficiency. We'll show how to revolutionize oceanographic data processing by harnessing the power of NVIDIA GPUs. We'll show examples for the usage of NVIDIA RAPIDS for accelerated computing of ocean data in Apache Spark/Sedona and physics AI-based approaches for a new level of underwater acoustics modeling based on NVIDIA PhysicsNeMo.